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University of Southern California
1.
Roque, Antonio.
Dialogue management in spoken dialogue systems with degrees
of grounding.
Degree: PhD, Computer Science, 2009, University of Southern California
URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/214152/rec/1979 
► Spoken dialogue systems – computers that interact with humans through spoken conversations – must become more robust before they will be widely accepted. One tradition…
(more)
▼ Spoken
dialogue systems – computers that interact
with humans through spoken conversations – must become more robust
before they will be widely accepted. One tradition in improving
error-handling in spoken
dialogue systems involves studying and
implementing grounding behavior as used by humans. When humans
converse, they typically work together to establish mutual
understanding by using behavior such as repetitions,
acknowledgments, and repairs. These types of evidence of
understanding combine to help humans establish that the material
under discussion is mutually understood to a level sufficient for
the current purposes. However, previous work in grounding has not
examined how to explicitly represent the degree to which material
is grounded during a
dialogue, whether this can be useful for
dialogue management in spoken
dialogue systems, and what advantages
this brings to implemented
systems.; This dissertation presents the
novel Degrees of Grounding model. This model answers open questions
by using a corpus study to identify how to explicitly represent the
degree to which material has reached mutual understanding during a
dialogue. The model describes how evidence of understanding
combines to define the degree of groundedness of some material
under discussion, how grounding criteria can be defined in terms of
those degrees of groundedness, and how algorithms working with
these concepts can be used for
dialogue management.; The components
of the Degrees of Grounding model were developed by analyzing
behavior of artillery fire request dialogues in a virtual training
environment. An evaluation confirmed that the
dialogue management
algorithms agreed with human judgments, and that the
dialogue
manager was capable of managing dialogues in the virtual
environment while providing more detailed descriptions of
dialogue
behavior than were previously available. The Degrees of Grounding
model was then implemented in a virtual human for tactical
questioning training, and a set of experiments with users showed
that the Degrees of Grounding model produced more appropriate
grounding utterances when compared to baseline
systems.
Advisors/Committee Members: Traum, David (Committee Chair), Knight, Kevin (Committee Member), Tambe, Milind (Committee Member), Narayanan, Shrikanth S. (Committee Member).
Subjects/Keywords: spoken dialogue systems; dialogue management
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APA (6th Edition):
Roque, A. (2009). Dialogue management in spoken dialogue systems with degrees
of grounding. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/214152/rec/1979
Chicago Manual of Style (16th Edition):
Roque, Antonio. “Dialogue management in spoken dialogue systems with degrees
of grounding.” 2009. Doctoral Dissertation, University of Southern California. Accessed March 01, 2021.
http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/214152/rec/1979.
MLA Handbook (7th Edition):
Roque, Antonio. “Dialogue management in spoken dialogue systems with degrees
of grounding.” 2009. Web. 01 Mar 2021.
Vancouver:
Roque A. Dialogue management in spoken dialogue systems with degrees
of grounding. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2021 Mar 01].
Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/214152/rec/1979.
Council of Science Editors:
Roque A. Dialogue management in spoken dialogue systems with degrees
of grounding. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/214152/rec/1979
Universiteit Utrecht
2.
Hommes, R.M.
Improper behaviour in argumentation based persuasion dialogues.
Degree: 2015, Universiteit Utrecht
URL: http://dspace.library.uu.nl:8080/handle/1874/318001
► In this thesis, it is investigated how agents participating in argumentation based persuasion dialogues should behave ideally. Also, types of improper behaviour of agents participating…
(more)
▼ In this thesis, it is investigated how agents participating in argumentation based persuasion dialogues should behave ideally. Also, types of improper behaviour of agents participating in such dialogues are defined, categorized and discussed. In addition, protocol rules and guidelines for agent design are devised using which improper agent behaviour can be banned from persuasion dialogues.
Advisors/Committee Members: Prakken, Prof. Dr. H..
Subjects/Keywords: Persuasion; dialogue systems; argumentation; improper behaviour
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APA (6th Edition):
Hommes, R. M. (2015). Improper behaviour in argumentation based persuasion dialogues. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/318001
Chicago Manual of Style (16th Edition):
Hommes, R M. “Improper behaviour in argumentation based persuasion dialogues.” 2015. Masters Thesis, Universiteit Utrecht. Accessed March 01, 2021.
http://dspace.library.uu.nl:8080/handle/1874/318001.
MLA Handbook (7th Edition):
Hommes, R M. “Improper behaviour in argumentation based persuasion dialogues.” 2015. Web. 01 Mar 2021.
Vancouver:
Hommes RM. Improper behaviour in argumentation based persuasion dialogues. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2021 Mar 01].
Available from: http://dspace.library.uu.nl:8080/handle/1874/318001.
Council of Science Editors:
Hommes RM. Improper behaviour in argumentation based persuasion dialogues. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/318001
University of Edinburgh
3.
Andersson, Sebastian.
Context dependent speech recognition.
Degree: 2006, University of Edinburgh
URL: http://hdl.handle.net/1842/2051
► Poor speech recognition is a problem when developing spoken dialogue systems, but several studies has showed that speech recognition can be improved by post-processing of…
(more)
▼ Poor speech recognition is a problem when developing spoken
dialogue systems, but
several studies has showed that speech recognition can be improved by post-processing
of recognition output that use the
dialogue context, acoustic properties of a user utterance
and other available resources to train a statistical model to use as a filter between
the speech recogniser and
dialogue manager. In this thesis a corpus of logged interactions
between users and a
dialogue system was used to extract features from previous
dialogue context, acoustics from the user utterance and n-best recognition hypotheses.
The features were used to train maximum entropy models with different feature sets
to rerank the n-best hypotheses. The models fail to some extent to predict intended
labels but using the reranked output in effect means that 94.9% of the adequate hypotheses
will be sent to the
dialogue manager, a decrease in relative error over baseline with
44.6% showing that contextual reranking can improve speech recognition for
dialogue
systems. Future work involves developing the current feature sets and maxEnt models
to better classify whether a hypothesis should be accepted or rejected by the
dialogue
system rather than rerank them.
Advisors/Committee Members: Lemon, Oliver.
Subjects/Keywords: speech recognition; spoken dialogue systems; linguistics
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APA (6th Edition):
Andersson, S. (2006). Context dependent speech recognition. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/2051
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Andersson, Sebastian. “Context dependent speech recognition.” 2006. Thesis, University of Edinburgh. Accessed March 01, 2021.
http://hdl.handle.net/1842/2051.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Andersson, Sebastian. “Context dependent speech recognition.” 2006. Web. 01 Mar 2021.
Vancouver:
Andersson S. Context dependent speech recognition. [Internet] [Thesis]. University of Edinburgh; 2006. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1842/2051.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Andersson S. Context dependent speech recognition. [Thesis]. University of Edinburgh; 2006. Available from: http://hdl.handle.net/1842/2051
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Southern California
4.
Gandhe, Sudeep R.
Rapid prototyping and evaluation of dialogue systems for
virtual humans.
Degree: PhD, Computer Science, 2014, University of Southern California
URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/364137/rec/5405
► This thesis presents contributions towards Rapid Prototyping and Evaluation of Dialogue Systems for Virtual Humans. Different architectures have been proposed for developing Virtual Human Dialogue…
(more)
▼ This thesis presents contributions towards Rapid
Prototyping and Evaluation of
Dialogue Systems for Virtual Humans.
Different architectures have been proposed for developing Virtual
Human
Dialogue Systems. These can be broadly classified in two
categories based on the level at which
dialogue management
occurs—
Dialogue Act level and Surface Text level. This thesis makes
contributions for both the types of architectures. ❧ For
Dialogue
Act based architectures, collecting the required resources is
costly, time‐consuming and requires expertise in
dialogue system
development. The first contribution of the thesis is an authoring
process designed for
dialogue act based architectures and the genre
of Advanced Question-Answering dialogues which allows non‐experts
to author the required resources rapidly. We demonstrate its
viability by implementing the necessary integrated authoring tool
and having non-experts build Advanced Question‐Answering Virtual
Humans. Our authoring process and the accompanying tool allows
non‐experts to build
systems faster (within a few weeks) compared
to what experts used to be able to do without the tool (up to
several months). ❧ For Surface text based architectures, this
thesis addresses two major challenges: the need for models that can
combine arbitrary information state annotations with the surface
text corpus and rapid, cost‐efficient evaluation of the resulting
dialogue models. We compare two approaches for formulating a
response for surface text based
dialogue models: Generation and
Selection. As a second contribution of the thesis, for the first
time in literature, we propose an empirical method to determine
whether the selection approach is viable for a given domain and
apply it to 10 different domains. It shows that for some domains
and corpora, the selection approach is viable where an acceptable
percentage of utterances are the same or substantially similar to
already seen utterances. ❧ Surface text based architectures require
relatively low‐cost resources such as
dialogue transcripts. But
without high‐level information state representations such
dialogue
systems cannot adequately model complex behaviors. To better
understand the trade‐offs between the cost of building a specific
set of resources and the performance of the resulting
dialogue
system, we need flexible
dialogue system architectures that allow
novel combinations of resources. As a third contribution of this
thesis, we develop flexible architectures that allow novel
combinations of different types of resources, such as surface text
transcripts and information state annotations, and systematically
evaluate them in three different evaluation settings. We
implemented and evaluated 8 types of models and demonstrate the
relative utility of different resource combinations and
architectures. ❧ For Surface text based architectures, evaluating
the performance of the resulting
dialogue system involves
collecting subjective judgments about the appropriateness of
responses given the
dialogue context. Since the evaluation process
requires a lot…
Advisors/Committee Members: Traum, David (Committee Chair), Tambe, Milind (Committee Member), Narayanan, Shrikanth S. (Committee Member), Knight, Kevin C. (Committee Member), Hovy, Eduard (Committee Member).
Subjects/Keywords: dialogue systems; virtual humans; evaluation; rapid prototyping
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APA (6th Edition):
Gandhe, S. R. (2014). Rapid prototyping and evaluation of dialogue systems for
virtual humans. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/364137/rec/5405
Chicago Manual of Style (16th Edition):
Gandhe, Sudeep R. “Rapid prototyping and evaluation of dialogue systems for
virtual humans.” 2014. Doctoral Dissertation, University of Southern California. Accessed March 01, 2021.
http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/364137/rec/5405.
MLA Handbook (7th Edition):
Gandhe, Sudeep R. “Rapid prototyping and evaluation of dialogue systems for
virtual humans.” 2014. Web. 01 Mar 2021.
Vancouver:
Gandhe SR. Rapid prototyping and evaluation of dialogue systems for
virtual humans. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2021 Mar 01].
Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/364137/rec/5405.
Council of Science Editors:
Gandhe SR. Rapid prototyping and evaluation of dialogue systems for
virtual humans. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/364137/rec/5405
5.
Khouzaimi, Hatim.
Turn-taking enhancement in spoken dialogue systems with reinforcement learning : Amélioration de la Prise de Parole dans les Systèmes de Dialogue Vocaux avec Apprentissage par Renforcement.
Degree: Docteur es, Informatique, 2016, Avignon
URL: http://www.theses.fr/2016AVIG0213
► Les systèmes de dialogue incrémentaux sont capables d’entamer le traitement des paroles de l’utilisateur au moment même où il les prononce (sans attendre de signal…
(more)
▼ Les systèmes de dialogue incrémentaux sont capables d’entamer le traitement des paroles de l’utilisateur au moment même où il les prononce (sans attendre de signal de fin de phrase tel un long silence par exemple). Ils peuvent ainsi prendre la parole à n’importe quel moment et l’utilisateur peut faire de même (et interrompre le système). De ce fait, ces systèmes permettent d’effectuer une plus large palette de comportements de prise de parole en comparaison avec les systèmes de dialogue traditionnels. Cette thèse s’articule autour de la problématique suivante : est-il possible pour un système de dialogue incrémental d’apprendre une stratégie optimale de prise de parole de façon autonome? Tout d’abord, une analyse des mécanismes sous-jacents à la dynamique de prise de parole dans une conversation homme-homme a permis d’établir une taxonomie de ces phénomènes. Ensuite, une nouvelle architecture permettant de doter les systèmes de dialogues conventionnels de capacités de traitement incrémentales de la parole, à moindre coût, a été proposée. Dans un premier temps, un simulateur de dialogue destiné à répliquer les comportements incrémentaux de l’utilisateur et de la reconnaissance vocale a été développé puis utilisé pour effectuer les premier tests de stratégies de dialogue incrémentales. Ces dernières ont été développées à base de règles issues de l’analyse effectuée lors de l’établissement de la taxonomie des phénomènes de prise de parole. Les résultats de la simulation montrent que le caractère incrémental permet d’obtenir des interactions plus efficaces. La meilleure stratégie à base de règles a été retenue comme référence pour la suite. Dans un second temps, une stratégie basée sur l’apprentissage par renforcement a été implémentée. Elle est capable d’apprendre à optimiser ses décisions de prise de parole de façon totalement autonome étant donnée une fonction de récompense. Une première comparaison, en simulation, a montré que cette stratégie engendre des résultats encore meilleurs par rapport à la stratégie à base de règles. En guise de validation, une expérience avec des utilisateurs réels a été menée (interactions avec une maison intelligente). Une amélioration significative du taux de complétion de tâche a été constatée dans le cas de la stratégie apprise par renforcement et ce, sans dégradation de l’appréciation globale par les utilisateurs de la qualité du dialogue (en réalité, une légère amélioration a été constatée).
Incremental dialogue systems are able to process the user’s speech as it is spoken (without waiting for the end of a sentence before starting to process it). This makes them able to take the floor whenever they decide to (the user can also speak whenever she wants, even if the system is still holding the floor). As a consequence, they are able to perform a richer set of turn-taking behaviours compared to traditional systems. Several contributions are described in this thesis with the aim of showing that dialogue systems’ turn-taking capabilities can be automatically improved from data. First,…
Advisors/Committee Members: Lefèvre, Fabrice (thesis director), Laroche, Romain (thesis director).
Subjects/Keywords: Apprentissage par renforcement; Dialogue incrémental; Systèmes de dialogue; Phénomène de prise de parole; Reinforcement learning; Incremental dialogue; Dialogue systems; Turn-taking phenomena; 006.35
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APA ·
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APA (6th Edition):
Khouzaimi, H. (2016). Turn-taking enhancement in spoken dialogue systems with reinforcement learning : Amélioration de la Prise de Parole dans les Systèmes de Dialogue Vocaux avec Apprentissage par Renforcement. (Doctoral Dissertation). Avignon. Retrieved from http://www.theses.fr/2016AVIG0213
Chicago Manual of Style (16th Edition):
Khouzaimi, Hatim. “Turn-taking enhancement in spoken dialogue systems with reinforcement learning : Amélioration de la Prise de Parole dans les Systèmes de Dialogue Vocaux avec Apprentissage par Renforcement.” 2016. Doctoral Dissertation, Avignon. Accessed March 01, 2021.
http://www.theses.fr/2016AVIG0213.
MLA Handbook (7th Edition):
Khouzaimi, Hatim. “Turn-taking enhancement in spoken dialogue systems with reinforcement learning : Amélioration de la Prise de Parole dans les Systèmes de Dialogue Vocaux avec Apprentissage par Renforcement.” 2016. Web. 01 Mar 2021.
Vancouver:
Khouzaimi H. Turn-taking enhancement in spoken dialogue systems with reinforcement learning : Amélioration de la Prise de Parole dans les Systèmes de Dialogue Vocaux avec Apprentissage par Renforcement. [Internet] [Doctoral dissertation]. Avignon; 2016. [cited 2021 Mar 01].
Available from: http://www.theses.fr/2016AVIG0213.
Council of Science Editors:
Khouzaimi H. Turn-taking enhancement in spoken dialogue systems with reinforcement learning : Amélioration de la Prise de Parole dans les Systèmes de Dialogue Vocaux avec Apprentissage par Renforcement. [Doctoral Dissertation]. Avignon; 2016. Available from: http://www.theses.fr/2016AVIG0213
6.
Chandramohan, Senthilkumar.
Revisiting user simulation in dialogue systems : do we still need them ? : will imitation play the role of simulation ? : Revisiter la simulation d'utilisateurs dans les systèmes de dialogue parlé : est-elle encore nécessaire ? : est-ce que l'imitation peut jouer le rôle de la simulation ?.
Degree: Docteur es, Informatique, 2012, Avignon
URL: http://www.theses.fr/2012AVIG0185
► Les récents progrès dans le domaine du traitement du langage ont apporté un intérêt significatif à la mise en oeuvre de systèmes de dialogue parlé.…
(more)
▼ Les récents progrès dans le domaine du traitement du langage ont apporté un intérêt significatif à la mise en oeuvre de systèmes de dialogue parlé. Ces derniers sont des interfaces utilisant le langage naturel comme medium d'interaction entre le système et l'utilisateur. Le module de gestion de dialogue choisit le moment auquel l'information qu'il choisit doit être échangée avec l'utilisateur. Ces dernières années, l'optimisation de dialogue parlé en utilisant l'apprentissage par renforcement est devenue la référence. Cependant, une grande partie des algorithmes utilisés nécessite une importante quantité de données pour être efficace. Pour gérer ce problème, des simulations d'utilisateurs ont été introduites. Cependant, ces modèles introduisent des erreurs. Par un choix judicieux d'algorithmes, la quantité de données d'entraînement peut être réduite et ainsi la modélisation de l'utilisateur évitée. Ces travaux concernent une partie des contributions présentées. L'autre partie des travaux consiste à proposer une modélisation à partir de données réelles des utilisateurs au moyen de l'apprentissage par renforcement inverse
Recent advancements in the area of spoken language processing and the wide acceptance of portable devices, have attracted signicant interest in spoken dialogue systems.These conversational systems are man-machine interfaces which use natural language (speech) as the medium of interaction.In order to conduct dialogues, computers must have the ability to decide when and what information has to be exchanged with the users. The dialogue management module is responsible to make these decisions so that the intended task (such as ticket booking or appointment scheduling) can be achieved.Thus learning a good strategy for dialogue management is a critical task.In recent years reinforcement learning-based dialogue management optimization has evolved to be the state-of-the-art. A majority of the algorithms used for this purpose needs vast amounts of training data.However, data generation in the dialogue domain is an expensive and time consuming process. In order to cope with this and also to evaluatethe learnt dialogue strategies, user modelling in dialogue systems was introduced. These models simulate real users in order to generate synthetic data.Being computational models, they introduce some degree of modelling errors. In spite of this, system designers are forced to employ user models due to the data requirement of conventional reinforcement learning algorithms can learn optimal dialogue strategies from limited amount of training data when compared to the conventional algorithms. As a consequence of this, user models are no longer required for the purpose of optimization, yet they continue to provide a fast and easy means for quantifying the quality of dialogue strategies. Since existing methods for user modelling are relatively less realistic compared to real user behaviors, the focus is shifted towards user modelling by means of inverse reinforcement learning. Using experimental results, the proposed…
Advisors/Committee Members: Lefèvre, Fabrice (thesis director), Pietquin, Olivier (thesis director).
Subjects/Keywords: Simulation d'utilisateurs; Systèmes de dialogue parlé; Apprentissage par renforcement; Apprentissage par renforcement inverse; Gestion de dialogue; User simulation; Spoken dialogue systems; Reinforcement learning; Inverse reinforcement learning; Dialogue management
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APA (6th Edition):
Chandramohan, S. (2012). Revisiting user simulation in dialogue systems : do we still need them ? : will imitation play the role of simulation ? : Revisiter la simulation d'utilisateurs dans les systèmes de dialogue parlé : est-elle encore nécessaire ? : est-ce que l'imitation peut jouer le rôle de la simulation ?. (Doctoral Dissertation). Avignon. Retrieved from http://www.theses.fr/2012AVIG0185
Chicago Manual of Style (16th Edition):
Chandramohan, Senthilkumar. “Revisiting user simulation in dialogue systems : do we still need them ? : will imitation play the role of simulation ? : Revisiter la simulation d'utilisateurs dans les systèmes de dialogue parlé : est-elle encore nécessaire ? : est-ce que l'imitation peut jouer le rôle de la simulation ?.” 2012. Doctoral Dissertation, Avignon. Accessed March 01, 2021.
http://www.theses.fr/2012AVIG0185.
MLA Handbook (7th Edition):
Chandramohan, Senthilkumar. “Revisiting user simulation in dialogue systems : do we still need them ? : will imitation play the role of simulation ? : Revisiter la simulation d'utilisateurs dans les systèmes de dialogue parlé : est-elle encore nécessaire ? : est-ce que l'imitation peut jouer le rôle de la simulation ?.” 2012. Web. 01 Mar 2021.
Vancouver:
Chandramohan S. Revisiting user simulation in dialogue systems : do we still need them ? : will imitation play the role of simulation ? : Revisiter la simulation d'utilisateurs dans les systèmes de dialogue parlé : est-elle encore nécessaire ? : est-ce que l'imitation peut jouer le rôle de la simulation ?. [Internet] [Doctoral dissertation]. Avignon; 2012. [cited 2021 Mar 01].
Available from: http://www.theses.fr/2012AVIG0185.
Council of Science Editors:
Chandramohan S. Revisiting user simulation in dialogue systems : do we still need them ? : will imitation play the role of simulation ? : Revisiter la simulation d'utilisateurs dans les systèmes de dialogue parlé : est-elle encore nécessaire ? : est-ce que l'imitation peut jouer le rôle de la simulation ?. [Doctoral Dissertation]. Avignon; 2012. Available from: http://www.theses.fr/2012AVIG0185
University of Waterloo
7.
Asghar, Nabiha.
Emotion-Aware and Human-Like Autonomous Agents.
Degree: 2019, University of Waterloo
URL: http://hdl.handle.net/10012/15363
► In human-computer interaction (HCI), one of the technological goals is to build human-like artificial agents that can think, decide and behave like humans during the…
(more)
▼ In human-computer interaction (HCI), one of the technological goals is to build human-like artificial agents that can think, decide and behave like humans during the interaction. A prime example is a dialogue system, where the agent should converse fluently and coherently with a user and connect with them emotionally. Humanness and emotion-awareness of interactive artificial agents have been shown to improve user experience and help attain application-specific goals more quickly. However, achieving human-likeness in HCI systems is contingent on addressing several philosophical and scientific challenges. In this thesis, I address two such challenges: replicating the human ability to 1) correctly perceive and adopt emotions, and 2) communicate effectively through language.
Several research studies in neuroscience, economics, psychology and sociology show that both language and emotional reasoning are essential to the human cognitive deliberation process. These studies establish that any human-like AI should necessarily be equipped with adequate emotional and linguistic cognizance. To this end, I explore the following research directions.
- I study how agents can reason emotionally in various human-interactive settings for decision-making. I use Bayesian Affect Control Theory, a probabilistic model of human-human affective interactions, to build a decision-theoretic reasoning algorithm about affect. This approach is validated on several applications: two-person social dilemma games, an assistive healthcare device, and robot navigation.
- I develop several techniques to understand and generate emotions/affect in language. The proposed methods include affect-based feature augmentation of neural conversational models, training regularization using affective objectives, and affectively diverse sequential inference.
- I devise an active learning technique that elicits user feedback during a conversation. This enables the agent to learn in real time, and to produce natural and coherent language during the interaction.
- I explore incremental domain adaptation in language classification and generation models. The proposed method seeks to replicate the human ability to continually learn from new environments without forgetting old experiences.
Subjects/Keywords: dialogue systems; conversational agents; natural language processing; machine learning; affective computing
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APA ·
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Manager
APA (6th Edition):
Asghar, N. (2019). Emotion-Aware and Human-Like Autonomous Agents. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15363
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Asghar, Nabiha. “Emotion-Aware and Human-Like Autonomous Agents.” 2019. Thesis, University of Waterloo. Accessed March 01, 2021.
http://hdl.handle.net/10012/15363.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Asghar, Nabiha. “Emotion-Aware and Human-Like Autonomous Agents.” 2019. Web. 01 Mar 2021.
Vancouver:
Asghar N. Emotion-Aware and Human-Like Autonomous Agents. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/10012/15363.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Asghar N. Emotion-Aware and Human-Like Autonomous Agents. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/15363
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Wisconsin – Milwaukee
8.
Kurmally, Adam.
Question Classification in the Cancer Domain.
Degree: MS, Computer Science, 2012, University of Wisconsin – Milwaukee
URL: https://dc.uwm.edu/etd/19
► We are investigating question classification for restricted domains with the broader goal of supporting mixed-initiative interaction on mobile phones. In this thesis, we present…
(more)
▼ We are investigating question classification for restricted domains with the broader goal of supporting mixed-initiative interaction on mobile phones. In this thesis, we present the development of a new domain-specific corpus of cancer-related questions, a new taxonomy of Expected Answer types, and our efforts toward training a classifier.
This work is the first of its kind in the cancer domain using a corpus consisting of real user questions gathered from cQA websites, and a taxonomy built from that corpus. Our goal is to create software to engage newly diagnosed prostate cancer patients in question-answering dialogs related to their treatment options. We are focusing our work on the interaction environment afforded by text and multimedia (SMS and MMS) messaging using mobile telephones, because of the prevalence of this technology and the growing popularity of text messaging, especially among underserved populations.
Advisors/Committee Members: Susan McRoy.
Subjects/Keywords: Dialogue-systems; question-answering; question-classification; SMS; Computer Sciences
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APA (6th Edition):
Kurmally, A. (2012). Question Classification in the Cancer Domain. (Thesis). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/19
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Kurmally, Adam. “Question Classification in the Cancer Domain.” 2012. Thesis, University of Wisconsin – Milwaukee. Accessed March 01, 2021.
https://dc.uwm.edu/etd/19.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Kurmally, Adam. “Question Classification in the Cancer Domain.” 2012. Web. 01 Mar 2021.
Vancouver:
Kurmally A. Question Classification in the Cancer Domain. [Internet] [Thesis]. University of Wisconsin – Milwaukee; 2012. [cited 2021 Mar 01].
Available from: https://dc.uwm.edu/etd/19.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Kurmally A. Question Classification in the Cancer Domain. [Thesis]. University of Wisconsin – Milwaukee; 2012. Available from: https://dc.uwm.edu/etd/19
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Toronto
9.
Wehr, R Dustin.
Rigorous Deductive Argumentation for Socially Relevant Issues.
Degree: PhD, 2015, University of Toronto
URL: http://hdl.handle.net/1807/69513
► The most important problems for society are describable only in vague terms, dependent on subjective positions, and missing highly relevant data. This thesis is intended…
(more)
▼ The most important problems for society are describable only in vague terms, dependent on subjective positions, and missing highly relevant data. This thesis is intended to revive and further develop the view that giving non-trivial, rigorous deductive arguments concerning such problems -without eliminating the complications of vagueness, subjectivity, and uncertainty- is, though very difficult, not problematic in principle, does not require the invention of new logics (classical first-order logic will do), and is something that more mathematically-inclined people should be pursuing. The framework of interpreted formal proofs is presented for formalizing and criticizing rigorous deductive arguments about vague, subjective, and uncertain issues, and its adequacy is supported largely by a number of major examples. This thesis also documents progress towards a web system for collaboratively authoring and criticizing such arguments, which is the ultimate goal of this project.
Advisors/Committee Members: Cook, Stephen A, Urquhart, Alasdair, Computer Science.
Subjects/Keywords: argumentation; dialogue systems; formal logic; interpreted formal proofs; policy; 0984
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APA (6th Edition):
Wehr, R. D. (2015). Rigorous Deductive Argumentation for Socially Relevant Issues. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/69513
Chicago Manual of Style (16th Edition):
Wehr, R Dustin. “Rigorous Deductive Argumentation for Socially Relevant Issues.” 2015. Doctoral Dissertation, University of Toronto. Accessed March 01, 2021.
http://hdl.handle.net/1807/69513.
MLA Handbook (7th Edition):
Wehr, R Dustin. “Rigorous Deductive Argumentation for Socially Relevant Issues.” 2015. Web. 01 Mar 2021.
Vancouver:
Wehr RD. Rigorous Deductive Argumentation for Socially Relevant Issues. [Internet] [Doctoral dissertation]. University of Toronto; 2015. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1807/69513.
Council of Science Editors:
Wehr RD. Rigorous Deductive Argumentation for Socially Relevant Issues. [Doctoral Dissertation]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/69513
Université de Lorraine
10.
Asri, Layla El.
Learning the Parameters of Reinforcement Learning from Data for Adaptive Spoken Dialogue Systems : Apprentissage automatique des paramètres de l'apprentissage par renforcement pour les systèmes de dialogues adaptatifs.
Degree: Docteur es, Informatique, 2016, Université de Lorraine
URL: http://www.theses.fr/2016LORR0350
► Cette thèse s’inscrit dans le cadre de la recherche sur les systèmes de dialogue. Ce document propose d’apprendre le comportement d’un système à partir d’un…
(more)
▼ Cette thèse s’inscrit dans le cadre de la recherche sur les systèmes de dialogue. Ce document propose d’apprendre le comportement d’un système à partir d’un ensemble de dialogues annotés. Le système apprend un comportement optimal via l’apprentissage par renforcement. Nous montrons qu’il n’est pas nécessaire de définir une représentation de l’espace d’état ni une fonction de récompense. En effet, ces deux paramètres peuvent être appris à partir du corpus de dialogues annotés. Nous montrons qu’il est possible pour un développeur de systèmes de dialogue d’optimiser la gestion du dialogue en définissant seulement la logique du dialogue ainsi qu’un critère à maximiser (par exemple, la satisfaction utilisateur). La première étape de la méthodologie que nous proposons consiste à prendre en compte un certain nombre de paramètres de dialogue afin de construire une représentation de l’espace d’état permettant d’optimiser le critère spécifié par le développeur. Par exemple, si le critère choisi est la satisfaction utilisateur, il est alors important d’inclure dans la représentation des paramètres tels que la durée du dialogue et le score de confiance de la reconnaissance vocale. L’espace d’état est modélisé par une mémoire sparse distribuée. Notre modèle, Genetic Sparse Distributed Memory for Reinforcement Learning (GSDMRL), permet de prendre en compte de nombreux paramètres de dialogue et de sélectionner ceux qui sont importants pour l’apprentissage par évolution génétique. L’espace d’état résultant ainsi que le comportement appris par le système sont aisément interprétables. Dans un second temps, les dialogues annotés servent à apprendre une fonction de récompense qui apprend au système à optimiser le critère donné par le développeur. A cet effet, nous proposons deux algorithmes, reward shaping et distance minimisation. Ces deux méthodes interprètent le critère à optimiser comme étant la récompense globale pour chaque dialogue. Nous comparons ces deux fonctions sur un ensemble de dialogues simulés et nous montrons que l’apprentissage est plus rapide avec ces fonctions qu’en utilisant directement le critère comme récompense finale. Nous avons développé un système de dialogue dédié à la prise de rendez-vous et nous avons collecté un corpus de dialogues annotés avec ce système. Ce corpus permet d’illustrer la capacité de mise à l’échelle de la représentation de l’espace d’état GSDMRL et constitue un bon exemple de système industriel sur lequel la méthodologie que nous proposons pourrait être appliquée
This document proposes to learn the behaviour of the dialogue manager of a spoken dialogue system from a set of rated dialogues. This learning is performed through reinforcement learning. Our method does not require the definition of a representation of the state space nor a reward function. These two high-level parameters are learnt from the corpus of rated dialogues. It is shown that the spoken dialogue designer can optimise dialogue management by simply defining the dialogue logic and a criterion to maximise (e.g user…
Advisors/Committee Members: Pietquin, Olivier (thesis director), Laroche, Romain (thesis director).
Subjects/Keywords: Systèmes de dialogue; Apprentissage par renforcement; Évaluation; Fonctions de récompense; Spoken dialogue systems; Reinforcement learning; Evaluation; Reward functions; 006.31
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APA ·
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APA (6th Edition):
Asri, L. E. (2016). Learning the Parameters of Reinforcement Learning from Data for Adaptive Spoken Dialogue Systems : Apprentissage automatique des paramètres de l'apprentissage par renforcement pour les systèmes de dialogues adaptatifs. (Doctoral Dissertation). Université de Lorraine. Retrieved from http://www.theses.fr/2016LORR0350
Chicago Manual of Style (16th Edition):
Asri, Layla El. “Learning the Parameters of Reinforcement Learning from Data for Adaptive Spoken Dialogue Systems : Apprentissage automatique des paramètres de l'apprentissage par renforcement pour les systèmes de dialogues adaptatifs.” 2016. Doctoral Dissertation, Université de Lorraine. Accessed March 01, 2021.
http://www.theses.fr/2016LORR0350.
MLA Handbook (7th Edition):
Asri, Layla El. “Learning the Parameters of Reinforcement Learning from Data for Adaptive Spoken Dialogue Systems : Apprentissage automatique des paramètres de l'apprentissage par renforcement pour les systèmes de dialogues adaptatifs.” 2016. Web. 01 Mar 2021.
Vancouver:
Asri LE. Learning the Parameters of Reinforcement Learning from Data for Adaptive Spoken Dialogue Systems : Apprentissage automatique des paramètres de l'apprentissage par renforcement pour les systèmes de dialogues adaptatifs. [Internet] [Doctoral dissertation]. Université de Lorraine; 2016. [cited 2021 Mar 01].
Available from: http://www.theses.fr/2016LORR0350.
Council of Science Editors:
Asri LE. Learning the Parameters of Reinforcement Learning from Data for Adaptive Spoken Dialogue Systems : Apprentissage automatique des paramètres de l'apprentissage par renforcement pour les systèmes de dialogues adaptatifs. [Doctoral Dissertation]. Université de Lorraine; 2016. Available from: http://www.theses.fr/2016LORR0350
KTH
11.
Linné, Christoffer.
Crowdsourcing av data för Hybrid Code Networks.
Degree: Electrical Engineering and Computer Science (EECS), 2020, KTH
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281968
► Task-oriented dialogue systems are a popular way for organisations to generate extra value both internally and for customers. Modern approaches for these dialogue systems…
(more)
▼ Task-oriented dialogue systems are a popular way for organisations to generate extra value both internally and for customers. Modern approaches for these dialogue systems that use neural networks to enable training directly on written dialogues are very data hungry, which complicates their implementation. Crowdsourcing is an attractive solution for generating this type of training data, but the method also comes with several difficulties. We introduce a new method for generating training data based on parallel crowdsourcing of dialogues, as well as crowdsourced quality review. We use this method to collect a small dataset that takes place within the domain bus driver-traveler. We believe that this method offers an efficient way to collect new, high-quality datasets. Hybrid Code Networks is a model for dialogue systems that combines a neural network with domain-specific knowledge, and thus requires a significantly smaller amount of training data than other similar dialogue systems to achieve comparable performance. By combining Hybrid Code Networks with our new method for generating training data, we believe that the threshold for implementing task-oriented dialogue systems on domains with insufficient training data can be lowered. We implement Hybrid Code Networks and train the implementation on the collected dataset and achieve good results.
Uppgiftsorienterade dialogsystem är ett populärt sätt för företag att generera extra värde både internt och för kunder. Moderna modeller för dessa dialogsystem som använder neurala nätverk för att möjliggöra träning direkt på skriftliga dialoger är väldigt datahungriga, vilket försvårar implementationen av dessa. Crowdsourcing är en attraktiv lösning för att generera denna typ av träningsdata, men metoden kommer även med flera svårigheter. Vi introducerar en ny metod för generering av träningsdata som bygger på parallell crowdsourcing av dialoger, samt crowdsourcad kvalitetsgranskning. Vi använder denna metod för att samla in ett litet dataset som utspelar sig inom domänen busschaufför-resenär. Vi menar att denna metod erbjuder ett effektivt sätt att samla in nya, högkvalitativa dataset. Hybrid Code Networks är en modell för dialogsystem som kombinerar ett neuralt nätverk med domänspecifik kunskap, och som på så sätt kräver en betydligt mindre mängd träningsdata än andra liknande dialogsystem för att uppnå jämförbar prestanda. Genom att kombinera Hybrid Code Networks med vår nya metod för generering av träningsdata menar vi att man kan sänka tröskeln för att implementera uppgiftsorienterade dialogsystem på domäner med otillräcklig träningsdata. Vi implementerar Hybrid Code Networks och tränar implementationen på det insamlade datasetet, och uppnår goda resultat.
Subjects/Keywords: Crowdsourcing; Hybrid Code Networks; Natural Dialogue Generation; Task-Oriented Dialogue Systems; Computer and Information Sciences; Data- och informationsvetenskap
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APA (6th Edition):
Linné, C. (2020). Crowdsourcing av data för Hybrid Code Networks. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281968
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Linné, Christoffer. “Crowdsourcing av data för Hybrid Code Networks.” 2020. Thesis, KTH. Accessed March 01, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281968.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Linné, Christoffer. “Crowdsourcing av data för Hybrid Code Networks.” 2020. Web. 01 Mar 2021.
Vancouver:
Linné C. Crowdsourcing av data för Hybrid Code Networks. [Internet] [Thesis]. KTH; 2020. [cited 2021 Mar 01].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281968.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Linné C. Crowdsourcing av data för Hybrid Code Networks. [Thesis]. KTH; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281968
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Colorado
12.
Becker, Lee.
DISCUSS: Toward a Domain Independent Representation of Dialogue.
Degree: PhD, Computer Science, 2012, University of Colorado
URL: https://scholar.colorado.edu/csci_gradetds/49
► While many studies have demonstrated that conversational tutoring systems have a positive effect on learning, the amount of manual effort required to author, design,…
(more)
▼ While many studies have demonstrated that conversational tutoring
systems have a positive effect on learning, the amount of manual effort required to author, design, and tune
dialogue behaviors remains a major barrier to widespread deployment and adoption of these
systems. Such
dialogue systems must not only understand student speech, but must also endeavor to keep students engaged while scaffolding them through the curriculum. Crafting robust, natural tutoring interactions typically involves writing tightly scripted behaviors for a wide variety of student responses and scenarios.
Combining statistical machine learning with corpus-based methods in natural language processing presents a possible path to reducing this effort. Advances in reinforcement learning have been applied toward
dialogue systems to learn optimal behaviors for a given task. However, these learned
dialogue policies are tightly coupled to the specific
dialogue system implementation. For content-rich applications such as intelligent tutoring
systems, there is an immediate need to learn tutoring strategies and
dialogue behaviors that can be leveraged across a variety of materials, concepts and lessons. Further generalization will require an intermediate representation of
dialogue that can abstract the conversation to its underlying action, function, and content.
This work introduces the
Dialogue Schema Unifying Speech and Semantics (DISCUSS), an intermediate linguistic representation that captures the semantics and pragmatics of speech while also allowing for domain-independent modeling of tutorial
dialogue. To better understand the benefits of the DISCUSS representation, a corpus of computer-mediated tutorial dialogues was manually tagged with DISCUSS labels. These data were then used for three different tasks: utterance classification,
dialogue move selection, and learning gains prediction.
System performance in these tasks demonstrate the utility and viability of the DISCUSS representation for analyzing and automating
dialogue interactions. Utterance classifiers achieve DISCUSS labeling performance on par with inter-annotator agreement levels. System performance in ranking and selecting follow-up questions illustrates the usefulness of DISCUSS-based features for modeling and identifying the factors behind human decision making when teaching. Correlating features of the
dialogue with measured learning gains in students shows how DISCUSS-derived metrics provide a detailed account of real tutoring strategies and student behaviors. Together these results represent a step toward more domain-independent mechanisms for modeling
dialogue.
Advisors/Committee Members: Wayne Ward, Martha Palmer, Sarel van Vuuren, James Martin, Tamara Sumner.
Subjects/Keywords: Dialogue Modeling; Dialogue Systems; Intelligent Tutoring Systems; Linguistic Representations; Natural Language Processing; Question Generation; Communication Technology and New Media; Computer Sciences; Education
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APA ·
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CSE |
Export
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Manager
APA (6th Edition):
Becker, L. (2012). DISCUSS: Toward a Domain Independent Representation of Dialogue. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/49
Chicago Manual of Style (16th Edition):
Becker, Lee. “DISCUSS: Toward a Domain Independent Representation of Dialogue.” 2012. Doctoral Dissertation, University of Colorado. Accessed March 01, 2021.
https://scholar.colorado.edu/csci_gradetds/49.
MLA Handbook (7th Edition):
Becker, Lee. “DISCUSS: Toward a Domain Independent Representation of Dialogue.” 2012. Web. 01 Mar 2021.
Vancouver:
Becker L. DISCUSS: Toward a Domain Independent Representation of Dialogue. [Internet] [Doctoral dissertation]. University of Colorado; 2012. [cited 2021 Mar 01].
Available from: https://scholar.colorado.edu/csci_gradetds/49.
Council of Science Editors:
Becker L. DISCUSS: Toward a Domain Independent Representation of Dialogue. [Doctoral Dissertation]. University of Colorado; 2012. Available from: https://scholar.colorado.edu/csci_gradetds/49
University of Kashmir
13.
Manzoor Ahmad.
Framework for Human Computer Interaction for Learning
Dialogue Strategies using Controlled Natural Language in
Information Systems;.
Degree: 2013, University of Kashmir
URL: http://shodhganga.inflibnet.ac.in/handle/10603/9789
Subjects/Keywords: Computer Interaction; Dialogue Strategies; Information Systems
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Ahmad, M. (2013). Framework for Human Computer Interaction for Learning
Dialogue Strategies using Controlled Natural Language in
Information Systems;. (Thesis). University of Kashmir. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/9789
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Ahmad, Manzoor. “Framework for Human Computer Interaction for Learning
Dialogue Strategies using Controlled Natural Language in
Information Systems;.” 2013. Thesis, University of Kashmir. Accessed March 01, 2021.
http://shodhganga.inflibnet.ac.in/handle/10603/9789.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Ahmad, Manzoor. “Framework for Human Computer Interaction for Learning
Dialogue Strategies using Controlled Natural Language in
Information Systems;.” 2013. Web. 01 Mar 2021.
Vancouver:
Ahmad M. Framework for Human Computer Interaction for Learning
Dialogue Strategies using Controlled Natural Language in
Information Systems;. [Internet] [Thesis]. University of Kashmir; 2013. [cited 2021 Mar 01].
Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9789.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Ahmad M. Framework for Human Computer Interaction for Learning
Dialogue Strategies using Controlled Natural Language in
Information Systems;. [Thesis]. University of Kashmir; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9789
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Brunel University
14.
Koulouri, Theodora.
Gender differences in navigation dialogues with computer systems.
Degree: PhD, 2013, Brunel University
URL: http://bura.brunel.ac.uk/handle/2438/8752
;
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607521
► Gender is among the most influential of the factors underlying differences in spatial abilities, human communication and interactions with and through computers. Past research has…
(more)
▼ Gender is among the most influential of the factors underlying differences in spatial abilities, human communication and interactions with and through computers. Past research has offered important insights into gender differences in navigation and language use. Yet, given the multidimensionality of these domains, many issues remain contentious while others unexplored. Moreover, having been derived from non-interactive, and often artificial, studies, the generalisability of this research to interactive contexts of use, particularly in the practical domain of Human-Computer Interaction (HCI), may be problematic. At the same time, little is known about how gender strategies, behaviours and preferences interact with the features of technology in various domains of HCI, including collaborative systems and systems with natural language interfaces. Targeting these knowledge gaps, the thesis aims to address the central question of how gender differences emerge and operate in spatial navigation dialogues with computer systems. To this end, an empirical study is undertaken, in which, mixed-gender and same-gender pairs communicate to complete an urban navigation task, with one of the participants being under the impression that he/she interacts with a robot. Performance and dialogue data were collected using a custom system that supported synchronous navigation and communication between the user and the robot. Based on this empirical data, the thesis describes the key role of the interaction of gender in navigation performance and communication processes, which outweighed the effect of individual gender, moderating gender differences and reversing predicted patterns of performance and language use. This thesis has produced several contributions; theoretical, methodological and practical. From a theoretical perspective, it offers novel findings in gender differences in navigation and communication. The methodological contribution concerns the successful application of dialogue as a naturalistic, and yet experimentally sound, research paradigm to study gender and spatial language. The practical contributions include concrete design guidelines for natural language systems and implications for the development of gender-neutral interfaces in specific domains of HCI.
Subjects/Keywords: 004.01; Human-robot interaction; Dialogue systems; Human factors; Visual information; Language adaptation
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APA ·
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Manager
APA (6th Edition):
Koulouri, T. (2013). Gender differences in navigation dialogues with computer systems. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/8752 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607521
Chicago Manual of Style (16th Edition):
Koulouri, Theodora. “Gender differences in navigation dialogues with computer systems.” 2013. Doctoral Dissertation, Brunel University. Accessed March 01, 2021.
http://bura.brunel.ac.uk/handle/2438/8752 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607521.
MLA Handbook (7th Edition):
Koulouri, Theodora. “Gender differences in navigation dialogues with computer systems.” 2013. Web. 01 Mar 2021.
Vancouver:
Koulouri T. Gender differences in navigation dialogues with computer systems. [Internet] [Doctoral dissertation]. Brunel University; 2013. [cited 2021 Mar 01].
Available from: http://bura.brunel.ac.uk/handle/2438/8752 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607521.
Council of Science Editors:
Koulouri T. Gender differences in navigation dialogues with computer systems. [Doctoral Dissertation]. Brunel University; 2013. Available from: http://bura.brunel.ac.uk/handle/2438/8752 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607521
University of North Texas
15.
Parde, Natalie.
Reading with Robots: A Platform to Promote Cognitive Exercise through Identification and Discussion of Creative Metaphor in Books.
Degree: 2018, University of North Texas
URL: https://digital.library.unt.edu/ark:/67531/metadc1248384/
► Maintaining cognitive health is often a pressing concern for aging adults, and given the world's shifting age demographics, it is impractical to assume that older…
(more)
▼ Maintaining cognitive health is often a pressing concern for aging adults, and given the world's shifting age demographics, it is impractical to assume that older adults will be able to rely on individualized human support for doing so. Recently, interest has turned toward technology as an alternative. Companion robots offer an attractive vehicle for facilitating cognitive exercise, but the language technologies guiding their interactions are still nascent; in elder-focused human-robot
systems proposed to date, interactions have been limited to motion or buttons and canned speech. The incapacity of these
systems to autonomously participate in conversational discourse limits their ability to engage users at a cognitively meaningful level.
I addressed this limitation by developing a platform for human-robot book discussions, designed to promote cognitive exercise by encouraging users to consider the authors' underlying intentions in employing creative metaphors. The choice of book discussions as the backdrop for these conversations has an empirical basis in neuro- and social science research that has found that reading often, even in late adulthood, has been correlated with a decreased likelihood to exhibit symptoms of cognitive decline. The more targeted focus on novel metaphors within those conversations stems from prior work showing that processing novel metaphors is a cognitively challenging task, for young adults and even more so in older adults with and without dementia.
A central contribution arising from the work was the creation of the first computational method for modelling metaphor novelty in word pairs. I show that the method outperforms baseline strategies as well as a standard metaphor detection approach, and additionally discover that incorporating a sentence-based classifier as a preliminary filtering step when applying the model to new books results in a better final set of scored word pairs. I trained and evaluated my methods using new, large corpora from two sources, and release those corpora to the research community. In developing the corpora, an additional contribution was the discovery that training a supervised regression model to automatically aggregate the crowdsourced annotations outperformed existing label aggregation strategies. Finally, I show that automatically-generated questions adhering to the Questioning the Author strategy are comparable to human-generated questions in terms of naturalness, sensibility, and question depth; the automatically-generated questions score slightly higher than human-generated questions in terms of clarity. I close by presenting findings from a usability evaluation in which users engaged in thirty-minute book discussions with a robot using the platform, showing that users find the platform to be likeable and engaging.
Advisors/Committee Members: Nielsen, Rodney D., Blanco, Eduardo, Jin, Wei, Parsons, Thomas.
Subjects/Keywords: natural language processing; metaphor; question generation; dialogue systems; corpora; human-robot systems; social robotics; artificial intelligence; cognitive exercise; Computer Science
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16.
Mrkšić, Nikola.
Data-driven language understanding for spoken dialogue systems.
Degree: PhD, 2018, University of Cambridge
URL: https://doi.org/10.17863/CAM.23985
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744899
► Spoken dialogue systems provide a natural conversational interface to computer applications. In recent years, the substantial improvements in the performance of speech recognition engines have…
(more)
▼ Spoken dialogue systems provide a natural conversational interface to computer applications. In recent years, the substantial improvements in the performance of speech recognition engines have helped shift the research focus to the next component of the dialogue system pipeline: the one in charge of language understanding. The role of this module is to translate user inputs into accurate representations of the user goal in the form that can be used by the system to interact with the underlying application. The challenges include the modelling of linguistic variation, speech recognition errors and the effects of dialogue context. Recently, the focus of language understanding research has moved to making use of word embeddings induced from large textual corpora using unsupervised methods. The work presented in this thesis demonstrates how these methods can be adapted to overcome the limitations of language understanding pipelines currently used in spoken dialogue systems. The thesis starts with a discussion of the pros and cons of language understanding models used in modern dialogue systems. Most models in use today are based on the delexicalisation paradigm, where exact string matching supplemented by a list of domain-specific rephrasings is used to recognise users' intents and update the system's internal belief state. This is followed by an attempt to use pretrained word vector collections to automatically induce domain-specific semantic lexicons, which are typically hand-crafted to handle lexical variation and account for a plethora of system failure modes. The results highlight the deficiencies of distributional word vectors which must be overcome to make them useful for downstream language understanding models. The thesis next shifts focus to overcoming the language understanding models' dependency on semantic lexicons. To achieve that, the proposed Neural Belief Tracking (NBT) model forsakes the use of standard one-hot n-gram representations used in Natural Language Processing in favour of distributed representations of user utterances, dialogue context and domain ontologies. The NBT model makes use of external lexical knowledge embedded in semantically specialised word vectors, obviating the need for domain-specific semantic lexicons. Subsequent work focuses on semantic specialisation, presenting an efficient method for injecting external lexical knowledge into word vector spaces. The proposed Attract-Repel algorithm boosts the semantic content of existing word vectors while simultaneously inducing high-quality cross-lingual word vector spaces. Finally, NBT models powered by specialised cross-lingual word vectors are used to train multilingual belief tracking models. These models operate across many languages at once, providing an efficient method for bootstrapping language understanding models for lower-resource languages with limited training data.
Subjects/Keywords: 006.3; Spoken Dialogue Systems; Machine Learning; Language Understanding; Dialogue State Tracking; Word Embeddings; Multilingual NLP; Natural Language Processing; Domain Adaptation; Neural Networks; Deep Learning; Delexicalisation
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APA (6th Edition):
Mrkšić, N. (2018). Data-driven language understanding for spoken dialogue systems. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.23985 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744899
Chicago Manual of Style (16th Edition):
Mrkšić, Nikola. “Data-driven language understanding for spoken dialogue systems.” 2018. Doctoral Dissertation, University of Cambridge. Accessed March 01, 2021.
https://doi.org/10.17863/CAM.23985 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744899.
MLA Handbook (7th Edition):
Mrkšić, Nikola. “Data-driven language understanding for spoken dialogue systems.” 2018. Web. 01 Mar 2021.
Vancouver:
Mrkšić N. Data-driven language understanding for spoken dialogue systems. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2021 Mar 01].
Available from: https://doi.org/10.17863/CAM.23985 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744899.
Council of Science Editors:
Mrkšić N. Data-driven language understanding for spoken dialogue systems. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://doi.org/10.17863/CAM.23985 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744899
University of Edinburgh
17.
Frampton, Matthew.
Using Dialogue Acts in dialogue strategy learning : optimising repair strategies.
Degree: PhD, 2008, University of Edinburgh
URL: http://hdl.handle.net/1842/2381
► A Spoken Dialogue System's (SDS's) dialogue strategy specifies which action it will take depending on its representation of the current dialogue context. Designing it by…
(more)
▼ A Spoken Dialogue System's (SDS's) dialogue strategy specifies which action it will take depending on its representation of the current dialogue context. Designing it by hand involves anticipating how users will interact with the system, and/or repeated testing and refining, and so can be a difficult, time-consuming task. Since SDSs inevitably make understanding errors, a particularly important issue is how to design ``repair strategies'', the parts of the dialogue strategy which attempt to get the dialogue ``back-on-track'' following these errors. To try to produce better dialogue strategies with less time and effort, previous researchers have modelled a dialogue strategy as a sequential decision problem called a Markov Decision Process (MDP), and then applied Reinforcement Learning (RL) algorithms to example training dialogues to generate dialogue strategies automatically. More recent research has used training dialogues conducted with simulated rather than real users and learned which action to take in all dialogue contexts, (a ``full'' as opposed to a ``partial'' dialogue strategy) - simulated users allow more training dialogues to be generated, and the exploration of new dialogue contexts not present in an original dataset. As yet however, limited insight has been provided as to which dialogue contextual features are important to include in the MDP and why. Indeed, a full dialogue strategy has not been learned from training dialogues with a realistic probabilistic user simulation derived from real user data, and then shown to work well with real users. This thesis investigates the value of adding new linguistically-motivated contextual features to the MDP when using RL to learn full dialogue strategies for SDSs. These new features are recent Dialogue Acts (DAs). DAs indicate the role or intention of an utterance in a dialogue e.g. ``provide-information'', an utterance being a complete unit of a speaker's speech, often bounded by silence. An accurate probabilistic user simulation learned from real user data is used for generating training dialogues, and the recent DAs are shown to improve performance in testing in simulation and with real users. With real users, performance is also better than other competing learned and hand-crafted strategies. Analysis of the strategies, and further simulation experiments show how the DAs improve performance through better repair strategies. The main findings are expected to apply to SDSs in general - indeed our strategies are learned and tested on real users in different domains, (flight-booking versus tourist information). Comparisons are also made to recent research which focuses on handling understanding errors in SDSs, but which does not use RL or user simulations.
Subjects/Keywords: 006.3; Spoken dialogue systems; Dialogue management; Reinforcement learning; Repair strategies
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APA (6th Edition):
Frampton, M. (2008). Using Dialogue Acts in dialogue strategy learning : optimising repair strategies. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/2381
Chicago Manual of Style (16th Edition):
Frampton, Matthew. “Using Dialogue Acts in dialogue strategy learning : optimising repair strategies.” 2008. Doctoral Dissertation, University of Edinburgh. Accessed March 01, 2021.
http://hdl.handle.net/1842/2381.
MLA Handbook (7th Edition):
Frampton, Matthew. “Using Dialogue Acts in dialogue strategy learning : optimising repair strategies.” 2008. Web. 01 Mar 2021.
Vancouver:
Frampton M. Using Dialogue Acts in dialogue strategy learning : optimising repair strategies. [Internet] [Doctoral dissertation]. University of Edinburgh; 2008. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1842/2381.
Council of Science Editors:
Frampton M. Using Dialogue Acts in dialogue strategy learning : optimising repair strategies. [Doctoral Dissertation]. University of Edinburgh; 2008. Available from: http://hdl.handle.net/1842/2381
Penn State University
18.
Savoy, Michael.
Getting to Dialogue: Parent/Teacher Communication in a School-Based Involvement Group
.
Degree: 2010, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/10523
► Many within the field of educational systems design believe that in order for the ideal system to exist, where all stakeholders benefit, the users of…
(more)
▼ Many within the field of educational
systems design believe that in order for the ideal system to exist, where all stakeholders benefit, the users of the system must be involved in its design and implementation. This requires the users to engage in
dialogue. First, however, more overall involvement is necessary in order to bring these stakeholders together in
dialogue. This study investigates the current characteristics of stakeholder involvement and communication of a group of parents and teachers in an urban, east coast bilingual school community. Using critical discourse analysis, various forms of communication between participants was examined to determine the barriers, causes and solutions to their current level of involvement and the characteristics of the communication that is occurring because of these factors. This study examined the different discourse to determine if the necessary elements for
dialogue, experienced facilitation, suspension of assumptions, and working as colleagues, were seen in this setting. The study found that while progressive types of involvement were observed there was not a critical mass of stakeholders involved to institutionalize the efforts of the group. Communication was at the discussion level however there were some elements, namely strong facilitators and solid reasons, for
dialogue to occur.
Advisors/Committee Members: Dr Carr Chellman, Dissertation Advisor/Co-Advisor, Alison Alene Carr Chellman, Committee Chair/Co-Chair, Kyle Leonard Peck, Committee Member, James F Nolan Jr., Committee Member, James Ewald Johnson, Committee Member.
Subjects/Keywords: parent-teacher communication; user design; dialogue; educational systems design
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APA ·
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Export
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Manager
APA (6th Edition):
Savoy, M. (2010). Getting to Dialogue: Parent/Teacher Communication in a School-Based Involvement Group
. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/10523
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Savoy, Michael. “Getting to Dialogue: Parent/Teacher Communication in a School-Based Involvement Group
.” 2010. Thesis, Penn State University. Accessed March 01, 2021.
https://submit-etda.libraries.psu.edu/catalog/10523.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Savoy, Michael. “Getting to Dialogue: Parent/Teacher Communication in a School-Based Involvement Group
.” 2010. Web. 01 Mar 2021.
Vancouver:
Savoy M. Getting to Dialogue: Parent/Teacher Communication in a School-Based Involvement Group
. [Internet] [Thesis]. Penn State University; 2010. [cited 2021 Mar 01].
Available from: https://submit-etda.libraries.psu.edu/catalog/10523.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Savoy M. Getting to Dialogue: Parent/Teacher Communication in a School-Based Involvement Group
. [Thesis]. Penn State University; 2010. Available from: https://submit-etda.libraries.psu.edu/catalog/10523
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
19.
Janarthanam, Srinivasan Chandrasekaran.
Learning user modelling strategies for adaptive referring expression generation in spoken dialogue systems.
Degree: PhD, 2011, University of Edinburgh
URL: http://hdl.handle.net/1842/5033
► We address the problem of dynamic user modelling for referring expression generation in spoken dialogue systems, i.e how a spoken dialogue system should choose referring…
(more)
▼ We address the problem of dynamic user modelling for referring expression generation in spoken dialogue systems, i.e how a spoken dialogue system should choose referring expressions to refer to domain entities to users with different levels of domain expertise, whose domain knowledge is initially unknown to the system. We approach this problem using a statistical planning framework: Reinforcement Learning techniques in Markov Decision Processes (MDP). We present a new reinforcement learning framework to learn user modelling strategies for adaptive referring expression generation (REG) in resource scarce domains (i.e. where no large corpus exists for learning). As a part of the framework, we present novel user simulation models that are sensitive to the referring expressions used by the system and are able to simulate users with different levels of domain knowledge. Such models are shown to simulate real user behaviour more closely than baseline user simulation models. In contrast to previous approaches to user adaptive systems, we do not assume that the user’s domain knowledge is available to the system before the conversation starts. We show that using a small corpus of non-adaptive dialogues it is possible to learn an adaptive user modelling policy in resource scarce domains using our framework. We also show that the learned user modelling strategies performed better in terms of adaptation than hand-coded baselines policies on both simulated and real users. With real users, the learned policy produced around 20% increase in adaptation in comparison to the best performing hand-coded adaptive baseline. We also show that adaptation to user’s domain knowledge results in improving task success (99.47% for learned policy vs 84.7% for hand-coded baseline) and reducing dialogue time of the conversation (11% relative difference). This is because users found it easier to identify domain objects when the system used adaptive referring expressions during the conversations.
Subjects/Keywords: 020; reinforcement learning; adaptive spoken dialogue systems
…105
Chapter 1
Introduction
Spoken dialogue systems (SDS) are becoming popular… …into using dialogue systems for collaborative problem solving in technical domains,
where a… …where
dialogue systems are deployed as tour guides to help tourists navigate the town, the… …giving them directions and tour plans. As dialogue systems progress to tackle
more and more… …dialogue systems should be able to use the domain communication knowledge appropriately to adapt…
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APA ·
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MLA ·
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CSE |
Export
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Manager
APA (6th Edition):
Janarthanam, S. C. (2011). Learning user modelling strategies for adaptive referring expression generation in spoken dialogue systems. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/5033
Chicago Manual of Style (16th Edition):
Janarthanam, Srinivasan Chandrasekaran. “Learning user modelling strategies for adaptive referring expression generation in spoken dialogue systems.” 2011. Doctoral Dissertation, University of Edinburgh. Accessed March 01, 2021.
http://hdl.handle.net/1842/5033.
MLA Handbook (7th Edition):
Janarthanam, Srinivasan Chandrasekaran. “Learning user modelling strategies for adaptive referring expression generation in spoken dialogue systems.” 2011. Web. 01 Mar 2021.
Vancouver:
Janarthanam SC. Learning user modelling strategies for adaptive referring expression generation in spoken dialogue systems. [Internet] [Doctoral dissertation]. University of Edinburgh; 2011. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1842/5033.
Council of Science Editors:
Janarthanam SC. Learning user modelling strategies for adaptive referring expression generation in spoken dialogue systems. [Doctoral Dissertation]. University of Edinburgh; 2011. Available from: http://hdl.handle.net/1842/5033
Macquarie University
20.
Lampert, Andrew Thomas.
Making email actionable: the identification and use of obligation acts in workplace email / by Andrew Lampert.
Degree: 2014, Macquarie University
URL: http://hdl.handle.net/1959.14/307362
► "This thesis is presented for the degree of Doctor of Philosophy at Macquarie University in the Department of Computing, July 29th, 2013".
Bibliography: pages 263-277.…
(more)
▼ "This thesis is presented for the degree of Doctor of Philosophy at Macquarie University in the Department of Computing, July 29th, 2013".
Bibliography: pages 263-277.
1. Introduction – 2. Literature review – 3. An examination of requests and commitments in workplace email – 4. Classifying requests and commitments at the message level – 5. Fine-grained classification of requests and commitments – 6. Integrating obligation classifiers with email client software – 7. Conclusions, limitations and future work – Appendix A. Annotation guidelines – Appenix B. Annotation experiments.
"Email is a key communication medium in business environments, where it is often used to assign and delegate tasks. Existing research has established that task-oriented communication is built upon the exchange of request and commitment speech acts collectively, obligation acts between interlocutors, but email software has so far ignored this insight; it has not adapted to support task management, despite its popularity as a medium for such workflows. The lack of task awareness in email software has been repeatedly highlighted as a key factor in the 'information overload' that burdens many email users. In particular, the difficulty of distilling tasks from the ever-increasing email flow leads to obligations that remain unfulfilled. This thesis explores how to address this problem by making email more actionable. We begin by analysing data from a series of annotation experiments through which we gathered independent human judgements about requests and commitments across a collection of more than 2000 real-world email messages. These annotated messages provide insight into how obligation acts are realised and interpreted. We identify and analyse a range of complex phenomena involved in these speech acts, and provide definitions for identifying them in email. Building on this analysis, we then present effective computational techniques for detecting obligation acts at three levels of granularity within email messages: the message, paragraph and sentence levels. Message-level identification determines whether or not an email message contains obligation acts, and aims to assist users to triage their messages by focusing on those containing actionable content. Paragraph-level identification builds on this to classify each paragraph in the same manner; this enables, for example, the production of extractive summaries of messages. Finally, sentence-level identification classifies each sentence in an email message, and allows requests and commitments to be extracted to external task lists. We use our annotated email data to train supervised machine learning algorithms for each of these classification tasks. These classifiers also exploit a novel classification system that segments the text of email messages into different functional zones, identifying material such as signatures, advertising, and quoted reply content. This enables our obligation classifiers to focus on only relevant email text when identifying requests and…
Advisors/Committee Members: Macquarie University. Department of Computing.
Subjects/Keywords: Electronic mail systems; Communication in organizations; Business – Computer network resources; email; speech acts; natural lnguage processing; dialogue; text classification; pragmatics
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Export
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APA (6th Edition):
Lampert, A. T. (2014). Making email actionable: the identification and use of obligation acts in workplace email / by Andrew Lampert. (Doctoral Dissertation). Macquarie University. Retrieved from http://hdl.handle.net/1959.14/307362
Chicago Manual of Style (16th Edition):
Lampert, Andrew Thomas. “Making email actionable: the identification and use of obligation acts in workplace email / by Andrew Lampert.” 2014. Doctoral Dissertation, Macquarie University. Accessed March 01, 2021.
http://hdl.handle.net/1959.14/307362.
MLA Handbook (7th Edition):
Lampert, Andrew Thomas. “Making email actionable: the identification and use of obligation acts in workplace email / by Andrew Lampert.” 2014. Web. 01 Mar 2021.
Vancouver:
Lampert AT. Making email actionable: the identification and use of obligation acts in workplace email / by Andrew Lampert. [Internet] [Doctoral dissertation]. Macquarie University; 2014. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1959.14/307362.
Council of Science Editors:
Lampert AT. Making email actionable: the identification and use of obligation acts in workplace email / by Andrew Lampert. [Doctoral Dissertation]. Macquarie University; 2014. Available from: http://hdl.handle.net/1959.14/307362
21.
Perakakis, Manolis.
Blending speech and graphical user interfaces: an empirical study on multimodal mobile interaction.
Degree: 2011, Technical University of Crete (TUC); Πολυτεχνείο Κρήτης
URL: http://hdl.handle.net/10442/hedi/26166
► Mobile phones have already outnumbered personal computers. Although until recently the majority of phones were used mainly as voice communication devices, the emergence of powerful…
(more)
▼ Mobile phones have already outnumbered personal computers. Although until recently the
majority of phones were used mainly as voice communication devices, the emergence of powerful
application-centric mobile devices such as personal digital assistants (PDAs) and smart-phones,
has created excitement for the future of mobile computing. Despite the recent explosion of
advanced mobile applications such as web browsing and video consuming, constraints such as
reduced display size and limited input interaction methods pose new challenges for interaction
designers. The use of more than one interaction modalities has been proposed as a possible
solution to overcome these limitations. Multimodal interfaces process two or more combined
user input modalities such as speech, pen or touch, in a coordinated manner with multimedia
system output and can potentially offer more rich, robust and adaptive interaction experience.
This dissertation investigates multimodal interface design and evaluation with a focus on
mobile interaction. One of the main aims is to showcase how to design information-filling
multimodal systems that combine speech and graphical user interface (GUI) input (e.g. pen or
touch). From the interaction design standpoint, the main focus is on identifying and exploiting
the synergies resulting from the mixing of modalities in order to create robust and effective
interfaces. The system designed and implemented, allows both unimodal and multimodal
interaction and can be used across different platforms such as PCs, PDAs and mobiles such as
the popular iPhone device.
For the evaluation of multimodal interaction both established and novel metrics are employed.
Two new metrics were devised that measure the relation of input modality preferences
to unimodal efficiency and the synergies found in a multimodal system. The proposed metrics,
relative modality efficiency and multimodal synergy, can provide valuable information to the
interaction design process of multimodal systems. Furthermore affective evaluation incorporating
biosignals such as skin conductance and brain waves (EEG) has provided a rich amount
of data not previously available. Use of such physiological channels and their elaborated interpretation
is a challenging but also a potentially rewarding direction towards emotional and
cognitive assessment of multimodal interface design.
Evaluation results show that multimodal systems can potentially outperform unimodal
systems in terms of both performance and user satisfaction when designed to maximize the
synergies between the modalities. Overall this research entails significant implications for
designing efficient mobile interfaces.
Subjects/Keywords: Πολυτροπικά συστήματα διεπαφής; Συστήματα διαλόγου φωνής; Γραφικό περιβάλλον διεπαφής; Αναγνώριση φωνής; Multimodal interaction systems; Spoken dialogue systems; Graphical user interfaces; Speech recognition
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APA ·
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CSE |
Export
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Manager
APA (6th Edition):
Perakakis, M. (2011). Blending speech and graphical user interfaces: an empirical study on multimodal mobile interaction. (Thesis). Technical University of Crete (TUC); Πολυτεχνείο Κρήτης. Retrieved from http://hdl.handle.net/10442/hedi/26166
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Perakakis, Manolis. “Blending speech and graphical user interfaces: an empirical study on multimodal mobile interaction.” 2011. Thesis, Technical University of Crete (TUC); Πολυτεχνείο Κρήτης. Accessed March 01, 2021.
http://hdl.handle.net/10442/hedi/26166.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Perakakis, Manolis. “Blending speech and graphical user interfaces: an empirical study on multimodal mobile interaction.” 2011. Web. 01 Mar 2021.
Vancouver:
Perakakis M. Blending speech and graphical user interfaces: an empirical study on multimodal mobile interaction. [Internet] [Thesis]. Technical University of Crete (TUC); Πολυτεχνείο Κρήτης; 2011. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/10442/hedi/26166.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Perakakis M. Blending speech and graphical user interfaces: an empirical study on multimodal mobile interaction. [Thesis]. Technical University of Crete (TUC); Πολυτεχνείο Κρήτης; 2011. Available from: http://hdl.handle.net/10442/hedi/26166
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
22.
Bui Huu Trung.
Toward Affective Dialogue Management using Partially Observable Markov Decision Processes.
Degree: 2008, Twente University (TUP)
URL: https://research.utwente.nl/en/publications/toward-affective-dialogue-management-using-partially-observable-markov-decision-processes(f0cde629-6751-4967-b5fa-d44a1aed8efe).html
;
urn:nbn:nl:ui:28-59997
;
f0cde629-6751-4967-b5fa-d44a1aed8efe
;
10.3990/1.9789036527149
;
urn:isbn:978-90-365-2714-9
;
urn:nbn:nl:ui:28-59997
;
https://research.utwente.nl/en/publications/toward-affective-dialogue-management-using-partially-observable-markov-decision-processes(f0cde629-6751-4967-b5fa-d44a1aed8efe).html
► Designing and developing affective dialogue systems have recently received much interest from the dialogue research community. A distinctive feature of these systems is affect modeling.…
(more)
▼ Designing and developing affective
dialogue systems have recently received much interest from the
dialogue research community. A distinctive feature of these
systems is affect modeling. Previous work was mainly focused on showing system's emotions to the user in order to achieve the designer's goal such as helping the student to practice nursing tasks or persuading the user to change their dietary behavior. A challenging problem is to infer the user's affective state and to adapt the system's behavior accordingly. This thesis addresses this problem from an engineering perspective using Partially Observable Markov Decision Process (POMDP) techniques and a Rapid
Dialogue Prototyping Methodology (RDPM). We argue that the POMDPs are suitable for use in designing affective
dialogue management models for three main reasons. First, the POMDP model allows for realistic modeling of the user's affective state, the user's intention, and other (user's) hidden state components by incorporating them into the state space. Second, recent
dialogue management research has shown that the POMDP-based
dialogue manager is able to cope well with uncertainty that can occur at many levels inside a
dialogue system from speech recognition, natural language understanding to
dialogue management. Third, the POMDP environment can be used to create a simulated user which is useful for learning and evaluation of competing
dialogue strategies. In the first part of this thesis, we first present the RDPM for a quick production of frame-based
dialogue models for traditional (i.e., non-affect sensitive) singleapplication
dialogue systems. The usability of the RDPM has been validated through the implementation of several prototype
dialogue systems. We then present a novel approach to developing interfaces for multi-application
systems which are
dialogue systems that allow the user to navigate between a large set of applications smoothly and transparently. The work in this part provides an essential infrastructure for implementing our prototype POMDP-based
dialogue manager. In the second part, we first describe a factored POMDP approach to affective
dialogue management. This approach illustrates that POMDPs are an elegant model for building affective
dialogue systems. Further, the POMDP-based
dialogue strategy outperforms all other known strategies from the literature when tested with smallscale
dialogue problems. However, a well-known drawback of POMDP-based
dialogue managers is that computing a near-optimal
dialogue policy is extremely computationally expensive. We then propose a tractable hybrid DDN-POMDP method to tackle many of these scalability problems. The central contribution of our method (com- pared with other POMDP-based
dialogue management methods from the literature) is the ability to handle frame-based
dialogue problems with hundreds of slots and hundreds of slot values. Keywords:
dialogue modeling,
dialogue management,
dialogue systems, rapid prototyping, partially observable Markov decision processes, multimodal, multi-application,…
Advisors/Committee Members: Nijholt, Antinus, Zwiers, Jakob, University of Twente.
Subjects/Keywords: Multi-domain; Multi-application; Dialogue management; Partially observable Markov decision process (POMDP); Rapid prototyping; Dialogue systems; Multimodal; Affective computing; Dialogue modeling; HMI-MI: MULTIMODAL INTERACTIONS
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APA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Trung, B. H. (2008). Toward Affective Dialogue Management using Partially Observable Markov Decision Processes. (Doctoral Dissertation). Twente University (TUP). Retrieved from https://research.utwente.nl/en/publications/toward-affective-dialogue-management-using-partially-observable-markov-decision-processes(f0cde629-6751-4967-b5fa-d44a1aed8efe).html ; urn:nbn:nl:ui:28-59997 ; f0cde629-6751-4967-b5fa-d44a1aed8efe ; 10.3990/1.9789036527149 ; urn:isbn:978-90-365-2714-9 ; urn:nbn:nl:ui:28-59997 ; https://research.utwente.nl/en/publications/toward-affective-dialogue-management-using-partially-observable-markov-decision-processes(f0cde629-6751-4967-b5fa-d44a1aed8efe).html
Chicago Manual of Style (16th Edition):
Trung, Bui Huu. “Toward Affective Dialogue Management using Partially Observable Markov Decision Processes.” 2008. Doctoral Dissertation, Twente University (TUP). Accessed March 01, 2021.
https://research.utwente.nl/en/publications/toward-affective-dialogue-management-using-partially-observable-markov-decision-processes(f0cde629-6751-4967-b5fa-d44a1aed8efe).html ; urn:nbn:nl:ui:28-59997 ; f0cde629-6751-4967-b5fa-d44a1aed8efe ; 10.3990/1.9789036527149 ; urn:isbn:978-90-365-2714-9 ; urn:nbn:nl:ui:28-59997 ; https://research.utwente.nl/en/publications/toward-affective-dialogue-management-using-partially-observable-markov-decision-processes(f0cde629-6751-4967-b5fa-d44a1aed8efe).html.
MLA Handbook (7th Edition):
Trung, Bui Huu. “Toward Affective Dialogue Management using Partially Observable Markov Decision Processes.” 2008. Web. 01 Mar 2021.
Vancouver:
Trung BH. Toward Affective Dialogue Management using Partially Observable Markov Decision Processes. [Internet] [Doctoral dissertation]. Twente University (TUP); 2008. [cited 2021 Mar 01].
Available from: https://research.utwente.nl/en/publications/toward-affective-dialogue-management-using-partially-observable-markov-decision-processes(f0cde629-6751-4967-b5fa-d44a1aed8efe).html ; urn:nbn:nl:ui:28-59997 ; f0cde629-6751-4967-b5fa-d44a1aed8efe ; 10.3990/1.9789036527149 ; urn:isbn:978-90-365-2714-9 ; urn:nbn:nl:ui:28-59997 ; https://research.utwente.nl/en/publications/toward-affective-dialogue-management-using-partially-observable-markov-decision-processes(f0cde629-6751-4967-b5fa-d44a1aed8efe).html.
Council of Science Editors:
Trung BH. Toward Affective Dialogue Management using Partially Observable Markov Decision Processes. [Doctoral Dissertation]. Twente University (TUP); 2008. Available from: https://research.utwente.nl/en/publications/toward-affective-dialogue-management-using-partially-observable-markov-decision-processes(f0cde629-6751-4967-b5fa-d44a1aed8efe).html ; urn:nbn:nl:ui:28-59997 ; f0cde629-6751-4967-b5fa-d44a1aed8efe ; 10.3990/1.9789036527149 ; urn:isbn:978-90-365-2714-9 ; urn:nbn:nl:ui:28-59997 ; https://research.utwente.nl/en/publications/toward-affective-dialogue-management-using-partially-observable-markov-decision-processes(f0cde629-6751-4967-b5fa-d44a1aed8efe).html
Queensland University of Technology
23.
Wheeldon, Alan.
Improving human computer interaction in intelligent tutoring systems.
Degree: 2007, Queensland University of Technology
URL: https://eprints.qut.edu.au/16587/
► ITSs (Intelligent Tutoring Systems) provide a way of addressing some of the issues that the more traditional CAI (Computer Aided Instruction) systems do not address…
(more)
▼ ITSs (Intelligent Tutoring Systems) provide a way of addressing some of the issues that the more traditional CAI (Computer Aided Instruction) systems do not address - the individual learning needs and individual learning abilities and levels of users - so that the user is in control of their learning experience. An ITS needs to be able to provide an explanation, for a real world situation, that successfully meets the needs of the user. To ensure relevant explanation content requires the ITS be based on sound planning principles and tutoring knowledge as well as knowledge of the domain and the user. To ensure a coherent explanation structure requires that the tutoring knowledge be applied with full recognition of the knowledge of the domain and the user. For a model of the user's knowledge to be effective, the system should be able to use it to enhance the flexibility and responsiveness of explanations generated. A user model should guide the generation of explanations so they are pitched at the correct level of the user's existing knowledge; models should be able to actively support the needs of the user so that the user's efforts in seeking out information are minimised. The aim of this research is to generate effective, flexible and responsive explanations, in educational software systems, through developing better explanation facilities than exist in currently available ITS software. In achieving this aim, I am advancing research into dialogue planning and user modelling. The explanation facilities described meet the requirements of an explanation that is tailored to the user's needs, a sound theory from which particular explanations are constructed, and a user model that can accurately represent the behaviour and beliefs of the user. My research contributions include explicitly and formally representing discourse planning / reasoning, from both the user's view and the tutor's view so that they can be clearly understood and represented in the ITS. More recent planners have adopted approaches that can be characterised as using adaptations of the classical planning approach, with informally specified planning algorithms and planning languages. Without clear, explicit and full descriptions of actions and the planning algorithm we can not be certain of the plans that such planners produce. I adopt a theoretically rigorous approach based on classical planning theory - the actions available to the planner, the planning language and algorithm should be explicitly represented to ensure that plans are complete and consistent. Classical regression planning uses dynamic planning thus enabling the system to be flexible in a variety of situations and providing the responsiveness required for an ITS. I take a theoretically rigorous approach in constructing a well specified model of discourse, building upon existing research in the area. I present a tutoring module that is able to find a way to motivate the user to take a recommended action, by relating the action to the user's goals, and that is able to reason about the text…
Subjects/Keywords: intelligent tutoring systems; explanatory dialogue; dialogue planning; classical planning; user; model; motivation; computational linguistics; rhetorical structure theory.
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APA (6th Edition):
Wheeldon, A. (2007). Improving human computer interaction in intelligent tutoring systems. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/16587/
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Wheeldon, Alan. “Improving human computer interaction in intelligent tutoring systems.” 2007. Thesis, Queensland University of Technology. Accessed March 01, 2021.
https://eprints.qut.edu.au/16587/.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Wheeldon, Alan. “Improving human computer interaction in intelligent tutoring systems.” 2007. Web. 01 Mar 2021.
Vancouver:
Wheeldon A. Improving human computer interaction in intelligent tutoring systems. [Internet] [Thesis]. Queensland University of Technology; 2007. [cited 2021 Mar 01].
Available from: https://eprints.qut.edu.au/16587/.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Wheeldon A. Improving human computer interaction in intelligent tutoring systems. [Thesis]. Queensland University of Technology; 2007. Available from: https://eprints.qut.edu.au/16587/
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
24.
Servan, Christophe.
Apprentissage automatique et compréhension dans le cadre d’un dialogue homme-machine téléphonique à initiative mixte : Corpus-based spoken language understanding for mixed initiative spoken dialog systems.
Degree: Docteur es, Informatique, 2008, Avignon
URL: http://www.theses.fr/2008AVIG0173
► Les systèmes de dialogues oraux Homme-Machine sont des interfaces entre un utilisateur et des services. Ces services sont présents sous plusieurs formes : services bancaires,…
(more)
▼ Les systèmes de dialogues oraux Homme-Machine sont des interfaces entre un utilisateur et des services. Ces services sont présents sous plusieurs formes : services bancaires, systèmes de réservations (de billets de train, d’avion), etc. Les systèmes de dialogues intègrent de nombreux modules notamment ceux de reconnaissance de la parole, de compréhension, de gestion du
dialogue et de synthèse de la parole. Le module qui concerne la problématique de cette thèse est celui de compréhension de la parole. Le processus de compréhension de la parole est généralement séparé du processus de transcription. Il s’agit, d’abord, de trouver la meilleure hypothèse de reconnaissance puis d’appliquer un processus de compréhension. L’approche proposée dans cette thèse est de conserver l’espace de recherche probabiliste tout au long du processus de compréhension en l’enrichissant à chaque étape. Cette approche a été appliquée lors de la campagne d’évaluation MEDIA. Nous montrons l’intérêt de notre approche par rapport à l’approche classique. En utilisant différentes sorties du module de RAP sous forme de graphe de mots, nous montrons que les performances du décodage conceptuel se dégradent linéairement en fonction du taux d’erreurs sur les mots (WER). Cependant nous montrons qu’une approche intégrée, cherchant conjointement la meilleure séquence de mots et de concepts, donne de meilleurs résultats qu’une approche séquentielle. Dans le souci de valider notre approche, nous menons des expériences sur le corpus MEDIA dans les mêmes conditions d’évaluation que lors de la campagne MEDIA. Il s’agit de produire des interprétations sémantiques à partir des transcriptions sans erreur. Les résultats montrent que les performances atteintes par notre modèle sont au niveau des performances des systèmes ayant participé à la campagne d’évaluation. L’étude détaillée des résultats obtenus lors de la campagne MEDIA nous permet de montrer la corrélation entre, d’une part, le taux d’erreur d’interprétation et, d’autre part, le taux d’erreur mots de la reconnaissance de la parole, la taille du corpus d’apprentissage, ainsi que l’ajout de connaissance a priori aux modèles de compréhension. Une analyse d’erreurs montre l’intérêt de modifier les probabilités des treillis de mots avec des triggers, un modèle cache ou d’utiliser des règles arbitraires obligeant le passage dans une partie du graphe et s’appliquant sur la présence d’éléments déclencheurs (mots ou concepts) en fonction de l’historique. On présente les méthodes à base de d’apprentissage automatique comme nécessairement plus gourmandes en terme de corpus d’apprentissage. En modifiant la taille du corpus d’apprentissage, on peut mesurer le nombre minimal ainsi que le nombre optimal de dialogues nécessaires à l’apprentissage des modèles de langages conceptuels du système de compréhension. Des travaux de recherche menés dans cette thèse visent à déterminer quel est la quantité de corpus nécessaire à l’apprentissage des modèles de langages conceptuels à partir de laquelle les scores d’évaluation…
Advisors/Committee Members: De Mori, Renato (thesis director), Béchet, Frédéric (thesis director).
Subjects/Keywords: Compréhension de la parole; Traitement automatique de la parole; Traitement automatique de la langue naturelle; Apprentissage automatique; Systèmes de dialogue; Speech language understanding; Speech processing; Natural language processing; Machine learning; Dialogue systems
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Servan, C. (2008). Apprentissage automatique et compréhension dans le cadre d’un dialogue homme-machine téléphonique à initiative mixte : Corpus-based spoken language understanding for mixed initiative spoken dialog systems. (Doctoral Dissertation). Avignon. Retrieved from http://www.theses.fr/2008AVIG0173
Chicago Manual of Style (16th Edition):
Servan, Christophe. “Apprentissage automatique et compréhension dans le cadre d’un dialogue homme-machine téléphonique à initiative mixte : Corpus-based spoken language understanding for mixed initiative spoken dialog systems.” 2008. Doctoral Dissertation, Avignon. Accessed March 01, 2021.
http://www.theses.fr/2008AVIG0173.
MLA Handbook (7th Edition):
Servan, Christophe. “Apprentissage automatique et compréhension dans le cadre d’un dialogue homme-machine téléphonique à initiative mixte : Corpus-based spoken language understanding for mixed initiative spoken dialog systems.” 2008. Web. 01 Mar 2021.
Vancouver:
Servan C. Apprentissage automatique et compréhension dans le cadre d’un dialogue homme-machine téléphonique à initiative mixte : Corpus-based spoken language understanding for mixed initiative spoken dialog systems. [Internet] [Doctoral dissertation]. Avignon; 2008. [cited 2021 Mar 01].
Available from: http://www.theses.fr/2008AVIG0173.
Council of Science Editors:
Servan C. Apprentissage automatique et compréhension dans le cadre d’un dialogue homme-machine téléphonique à initiative mixte : Corpus-based spoken language understanding for mixed initiative spoken dialog systems. [Doctoral Dissertation]. Avignon; 2008. Available from: http://www.theses.fr/2008AVIG0173
University of Edinburgh
25.
Cuayáhuitl, Heriberto.
Hierarchical reinforcement learning for spoken dialogue systems.
Degree: PhD, 2009, University of Edinburgh
URL: http://hdl.handle.net/1842/2750
► This thesis focuses on the problem of scalable optimization of dialogue behaviour in speech-based conversational systems using reinforcement learning. Most previous investigations in dialogue strategy…
(more)
▼ This thesis focuses on the problem of scalable optimization of dialogue behaviour in speech-based conversational systems using reinforcement learning. Most previous investigations in dialogue strategy learning have proposed flat reinforcement learning methods, which are more suitable for small-scale spoken dialogue systems. This research formulates the problem in terms of Semi-Markov Decision Processes (SMDPs), and proposes two hierarchical reinforcement learning methods to optimize sub-dialogues rather than full dialogues. The first method uses a hierarchy of SMDPs, where every SMDP ignores irrelevant state variables and actions in order to optimize a sub-dialogue. The second method extends the first one by constraining every SMDP in the hierarchy with prior expert knowledge. The latter method proposes a learning algorithm called 'HAM+HSMQ-Learning', which combines two existing algorithms in the literature of hierarchical reinforcement learning. Whilst the first method generates fully-learnt behaviour, the second one generates semi-learnt behaviour. In addition, this research proposes a heuristic dialogue simulation environment for automatic dialogue strategy learning. Experiments were performed on simulated and real environments based on a travel planning spoken dialogue system. Experimental results provided evidence to support the following claims: First, both methods scale well at the cost of near-optimal solutions, resulting in slightly longer dialogues than the optimal solutions. Second, dialogue strategies learnt with coherent user behaviour and conservative recognition error rates can outperform a reasonable hand-coded strategy. Third, semi-learnt dialogue behaviours are a better alternative (because of their higher overall performance) than hand-coded or fully-learnt dialogue behaviours. Last, hierarchical reinforcement learning dialogue agents are feasible and promising for the (semi) automatic design of adaptive behaviours in larger-scale spoken dialogue systems. This research makes the following contributions to spoken dialogue systems which learn their dialogue behaviour. First, the Semi-Markov Decision Process (SMDP) model was proposed to learn spoken dialogue strategies in a scalable way. Second, the concept of 'partially specified dialogue strategies' was proposed for integrating simultaneously hand-coded and learnt spoken dialogue behaviours into a single learning framework. Third, an evaluation with real users of hierarchical reinforcement learning dialogue agents was essential to validate their effectiveness in a realistic environment.
Subjects/Keywords: 020; Spoken dialogue systems; (Semi-) Automatic dialogue strategy design; Hierarchical control; Prior expert knowledge; Semi-Markov decision processes; Hierarchical reinforcement learning
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APA ·
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APA (6th Edition):
Cuayáhuitl, H. (2009). Hierarchical reinforcement learning for spoken dialogue systems. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/2750
Chicago Manual of Style (16th Edition):
Cuayáhuitl, Heriberto. “Hierarchical reinforcement learning for spoken dialogue systems.” 2009. Doctoral Dissertation, University of Edinburgh. Accessed March 01, 2021.
http://hdl.handle.net/1842/2750.
MLA Handbook (7th Edition):
Cuayáhuitl, Heriberto. “Hierarchical reinforcement learning for spoken dialogue systems.” 2009. Web. 01 Mar 2021.
Vancouver:
Cuayáhuitl H. Hierarchical reinforcement learning for spoken dialogue systems. [Internet] [Doctoral dissertation]. University of Edinburgh; 2009. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1842/2750.
Council of Science Editors:
Cuayáhuitl H. Hierarchical reinforcement learning for spoken dialogue systems. [Doctoral Dissertation]. University of Edinburgh; 2009. Available from: http://hdl.handle.net/1842/2750
26.
Rachelina Sinfrônio de Lacerda.
O bambear semiótico no samba: da canção ao salão.
Degree: 2011, Universidade Federal da Paraíba
URL: http://bdtd.biblioteca.ufpb.br/tde_busca/arquivo.php?codArquivo=1537
► O seguinte trabalho pretende investigar, através da Semiótica da Cultura unida aos estudos críticos-literários da MPB, a intersemiose no samba, mais precisamente, o diálogo intersemiótico…
(more)
▼ O seguinte trabalho pretende investigar, através da Semiótica da Cultura unida aos estudos críticos-literários da MPB, a intersemiose no samba, mais precisamente, o diálogo intersemiótico entre dois sistemas de linguagens distintas - a poesia da canção de samba (linguagem verbal) e a dança samba de salão (linguagem não-verbal) -, a partir de uma análise sincrônica envolvendo três coreografias mediadas pelas canções: Deixa isso pra lá (Alberto Paz e Edson Meneses) por João Sabiá (2007), Aquele Abraço (Gilberto Gil, 2000) e Pilotando o Bonde da Excursão (Marcelo D2, 2004). Tal investigação partirá de como esta dança, compreendida como um sistema modelizante de 2 grau (bem como a poesia), com codificação própria e possibilidades combinatórias inesgotáveis, poderá, numa representação coreográfica, não apenas reproduzir o sistema poético da canção, mas modelizar, em seu próprio sistema, novas percepções e significações em diálogo com o da canção. E, desta forma, contribuir para um enriquecimento mútuo entre os sistemas de signos envolvidos, gerando uma dinâmica transformadora entre linguagens que definem o caráter inventivo da cultura no samba.
The following work intends to investigate, through the Semiotics of Culture, united to literary-critical studies of MPB, the intersemiosis in the samba, more precisely, the inter-semiotic dialogue between two systems of distinct languages - the poetry of samba song (verbal language), and the samba ballroom (non-verbal language) -, from a synchronic analysis involving three choreographies mediated by the songs: Deixe Isso pra Lá (Alberto Paz and Edson Meneses) by João Sabiá (2007), Aquele Abraço (Gilberto Gil, 2000) and Pilotando o Bonde da Excursão (Marcelo D2, 2004). Such investigation will go of how this dance, understood as a modeling system of seconddegree (as well as the poetry), with an own code and endless combinatorial possibilities will can, in a choreographic representation, not just replicate the poetic system of the song, but modeled, in his own system, new insights and meanings in dialogue with the song. And, this way, contributing to mutual enrichment between the sign systems involved, creating a dynamic for change among languages that define the inventive character of culture in the samba.
Advisors/Committee Members: Amador Ribeiro Neto.
Subjects/Keywords: samba de salão; poesia da canção de samba; diálogo intersemiótico; sistema modelizante; LETRAS; poetry of song samba; inter-semiotic dialogue; modeling systems; samba ballroom
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APA ·
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APA (6th Edition):
Lacerda, R. S. d. (2011). O bambear semiótico no samba: da canção ao salão. (Thesis). Universidade Federal da Paraíba. Retrieved from http://bdtd.biblioteca.ufpb.br/tde_busca/arquivo.php?codArquivo=1537
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Lacerda, Rachelina Sinfrônio de. “O bambear semiótico no samba: da canção ao salão.” 2011. Thesis, Universidade Federal da Paraíba. Accessed March 01, 2021.
http://bdtd.biblioteca.ufpb.br/tde_busca/arquivo.php?codArquivo=1537.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Lacerda, Rachelina Sinfrônio de. “O bambear semiótico no samba: da canção ao salão.” 2011. Web. 01 Mar 2021.
Vancouver:
Lacerda RSd. O bambear semiótico no samba: da canção ao salão. [Internet] [Thesis]. Universidade Federal da Paraíba; 2011. [cited 2021 Mar 01].
Available from: http://bdtd.biblioteca.ufpb.br/tde_busca/arquivo.php?codArquivo=1537.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Lacerda RSd. O bambear semiótico no samba: da canção ao salão. [Thesis]. Universidade Federal da Paraíba; 2011. Available from: http://bdtd.biblioteca.ufpb.br/tde_busca/arquivo.php?codArquivo=1537
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Rochester
27.
Core, Mark G.
Dialog Parsing: from Speech Repairs to Speech
Acts.
Degree: PhD, 2004, University of Rochester
URL: http://hdl.handle.net/1802/793
► There are four major dialog-specific challenges in processing natural language: 1) determining an utteranceUs speech act, 2) finding utterance boundaries, 3) allowing for the possibility…
(more)
▼ There are four major dialog-specific challenges in
processing natural language: 1) determining an utteranceUs speech
act, 2) finding utterance boundaries, 3) allowing for the
possibility that speakers may continue each other's utterances and
interrupt each other, and 4) handling speech repairs and editing
terms (uh, I mean). We worked with the Multiparty Discourse Group
to develop the Backward- and Forward-Looking annotation scheme that
unlike many current speech act taxonomies allows utterance
multi-functionality to be captured. To help with challenge 2, we
use a statistical utterance boundary detector. To handle challenges
3 and 4, we developed a unique parsing framework in which metarules
specify allowable forms of phrase breakage and interleaving. A
stream of words tagged with their speakers are given to the parser.
Second speaker continuations are naturally allowed and metarules
allow phrase structure to be formed around second speaker
interruptions. Similarly, metarules allow phrase structure to be
formed around speech repairs and editing terms. The parser can thus
include repairs and editing terms in its output, allowing
higher-level reasoning processes to make inferences about
hesitations and false starts in the input. We have also shown that
the parser can use its knowledge of grammar and the syntactic
structure of the input to improve pre-parser speech repair
identification.
Subjects/Keywords: discourse structure; utterance boundaries; parsing; speech acts; dialogue systems; disfluencies
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APA ·
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MLA ·
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Export
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APA (6th Edition):
Core, M. G. (2004). Dialog Parsing: from Speech Repairs to Speech
Acts. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/793
Chicago Manual of Style (16th Edition):
Core, Mark G. “Dialog Parsing: from Speech Repairs to Speech
Acts.” 2004. Doctoral Dissertation, University of Rochester. Accessed March 01, 2021.
http://hdl.handle.net/1802/793.
MLA Handbook (7th Edition):
Core, Mark G. “Dialog Parsing: from Speech Repairs to Speech
Acts.” 2004. Web. 01 Mar 2021.
Vancouver:
Core MG. Dialog Parsing: from Speech Repairs to Speech
Acts. [Internet] [Doctoral dissertation]. University of Rochester; 2004. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/1802/793.
Council of Science Editors:
Core MG. Dialog Parsing: from Speech Repairs to Speech
Acts. [Doctoral Dissertation]. University of Rochester; 2004. Available from: http://hdl.handle.net/1802/793
Universidade de Brasília
28.
Manuela Vieira Pak.
O modelo TransAmazon : uma análise para melhorar suas limitações por meio da participação social.
Degree: 2008, Universidade de Brasília
URL: http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=3530
► The spread of pioneer fronts in the Amazon, which results in deforestation and changes to vegetation coverage, raises environmental problems. To try to solve these…
(more)
▼ The spread of pioneer fronts in the Amazon, which results in deforestation and changes to vegetation coverage, raises environmental problems. To try to solve these problems through a more lasting management of natural resources and for the well-being of local populations, it appears important to integrate the awareness produced by different forms of knowledge, linking them through a interdisciplinary approach. On this basis, the work presented here had as its objective analyzing the multi-agent TransAmazon model to identify its strengths and weaknesses in relation to social, economic, productive, political, and environmental spheres. At the same time, it attempted to present a proposal to improve limitations, through greater social participation. Such participation authorizes the collective use of these technical tools to accompany decisions and allow for, in a dialogue of knowledge, the creation of reflections to direct public policies and to bring about changes in practice. The proposal is based on the approach of companion modelling (ComMod). Using a blend of several means of data collection, our approach looks to represent the dynamics of pioneer fronts from different points of view. It allows for the verification and complementation of the initial model in areas related to biophysical dimensions (landscape, soil, climate), economic and physical dimensions (type of culture, productivity, marketing, land value, price of cultures and organization of work), and social and cultural dimensions (demographic dynamics, institutional relations, origin and traditions of producers, vision and representations of the Cosmos). The participation of development actors will allow for the explanation and better understanding of the mechanisms at work. Moreover, the dialogue will be fundamental to identifying the decisive variables of system durability and inventing practical alternatives to improve the well-being of the local populations while being more respectful of the environment.
Na necessidade atual de solucionar os problemas ambientais das frentes pioneiras da Amazônia, em relação ao desmatamento e mudança da cobertura vegetal, surge a importância de integrar os conhecimentos de maneira interdisciplinar, entre diferentes formas de saber, para a gestão sustentável dos recursos naturais e bem-estar da população local. Em base a isto, o presente trabalho teve como objetivo analisar o modelo multiagentes TransAmazon, para identificar suas deficiências e vantagens em relação a aspectos sociais, econômicos, produtivos e ambientais, e sua vez, apresentar uma proposta para melhorar suas limitações, por meio da inserção da participação social. Isto para a que ferramenta seja utilizada para o acompanhamento à decisão e permita, num diálogo de saberes, criar reflexões para a orientação de políticas públicas e para trazer mudanças ambientais. A proposta se baseou na abordagem modelação de acompanhamento (companiong modeling, ComMod), para conseguir representar por meio da associação de vários instrumentos de coleta de informação, as…
Advisors/Committee Members: Doris Aleida Villamizar Sayago, Jean Francois Tourrand, Silvio Brienza Júnior.
Subjects/Keywords: metodologias participativas; modelo TransAmazon; sistemas multiagentes; CIENCIAS AGRARIAS; Amazon; TransAmazon Model; Amazônia; diálogo de saberes; Participative methodologies; Multi-agent systems; Dialogue of knowledge
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APA ·
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APA (6th Edition):
Pak, M. V. (2008). O modelo TransAmazon : uma análise para melhorar suas limitações por meio da participação social. (Thesis). Universidade de Brasília. Retrieved from http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=3530
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Pak, Manuela Vieira. “O modelo TransAmazon : uma análise para melhorar suas limitações por meio da participação social.” 2008. Thesis, Universidade de Brasília. Accessed March 01, 2021.
http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=3530.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Pak, Manuela Vieira. “O modelo TransAmazon : uma análise para melhorar suas limitações por meio da participação social.” 2008. Web. 01 Mar 2021.
Vancouver:
Pak MV. O modelo TransAmazon : uma análise para melhorar suas limitações por meio da participação social. [Internet] [Thesis]. Universidade de Brasília; 2008. [cited 2021 Mar 01].
Available from: http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=3530.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Pak MV. O modelo TransAmazon : uma análise para melhorar suas limitações por meio da participação social. [Thesis]. Universidade de Brasília; 2008. Available from: http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=3530
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Saskatchewan
29.
Lloyd, Ellen R 1992-.
Six Non-Listening Patterns in Stakeholder Networks: A Grounded Theory Model.
Degree: 2019, University of Saskatchewan
URL: http://hdl.handle.net/10388/12522
► Listening is a key social mechanism that contributes to the dynamics of stakeholder relationships in marketing systems. Accordingly, this research seeks a fuller-bodied understanding of…
(more)
▼ Listening is a key social mechanism that contributes to the dynamics of stakeholder relationships in marketing
systems. Accordingly, this research seeks a fuller-bodied understanding of situational dynamics where stakeholders do not feel listened to. It uses grounded theory methods to construct meaning from in-depth interviews with eighteen Saskatchewan women engaged as stakeholders in nuclear issues. The outcome of this research is a grounded theoretical framework recognizing six patterns of non-listening interaction. Those types are: blocking (vs. expression), isolation (vs. access), withdrawal (vs. presence), dismissal (vs. consideration), refusal (vs. compliance) and finally disruption, which occupies a distinct role. The new model addresses a need for listening theory that is compatible with stakeholder network models and marketing
systems analysis. It offers a complex understanding of listening relationships between all types of stakeholders and can be applied to analyze stakeholder interaction and dysfunction in conflict-ridden marketing
systems.
Advisors/Committee Members: Bourassa, Maureen A, Delbaere, Marjorie A, Phillips, Barbara J, Reed, Maureen G.
Subjects/Keywords: listening; perceived listening; stakeholder engagement; grounded theory; stakeholder network theory; women’s experiences; interviews; consultation; dialogue; social license; marketing systems; social mechanisms; nuclear technology; communication; MAS theory
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APA (6th Edition):
Lloyd, E. R. 1. (2019). Six Non-Listening Patterns in Stakeholder Networks: A Grounded Theory Model. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/12522
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Lloyd, Ellen R 1992-. “Six Non-Listening Patterns in Stakeholder Networks: A Grounded Theory Model.” 2019. Thesis, University of Saskatchewan. Accessed March 01, 2021.
http://hdl.handle.net/10388/12522.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Lloyd, Ellen R 1992-. “Six Non-Listening Patterns in Stakeholder Networks: A Grounded Theory Model.” 2019. Web. 01 Mar 2021.
Vancouver:
Lloyd ER1. Six Non-Listening Patterns in Stakeholder Networks: A Grounded Theory Model. [Internet] [Thesis]. University of Saskatchewan; 2019. [cited 2021 Mar 01].
Available from: http://hdl.handle.net/10388/12522.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Lloyd ER1. Six Non-Listening Patterns in Stakeholder Networks: A Grounded Theory Model. [Thesis]. University of Saskatchewan; 2019. Available from: http://hdl.handle.net/10388/12522
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
30.
Rato, João Pedro Cordeiro.
Conversação homem-máquina. Caracterização e avaliação do estado actual das soluções de speech recognition, speech synthesis e sistemas de conversação homem-máquina.
Degree: 2016, Instituto Politécnico de Leiria
URL: http://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/2375
► A comunicação verbal humana é realizada em dois sentidos, existindo uma compreensão de ambas as partes que resulta em determinadas considerações. Este tipo de comunicação,…
(more)
▼ A comunicação verbal humana é realizada em dois sentidos, existindo uma compreensão
de ambas as partes que resulta em determinadas considerações. Este tipo de comunicação,
também chamada de diálogo, para além de agentes humanos pode ser constituído por
agentes humanos e máquinas. A interação entre o Homem e máquinas, através de
linguagem natural, desempenha um papel importante na melhoria da comunicação entre
ambos.
Com o objetivo de perceber melhor a comunicação entre Homem e máquina este
documento apresenta vários conhecimentos sobre sistemas de conversação Homemmáquina,
entre os quais, os seus módulos e funcionamento, estratégias de diálogo e
desafios a ter em conta na sua implementação.
Para além disso, são ainda apresentados vários sistemas de Speech Recognition, Speech
Synthesis e sistemas que usam conversação Homem-máquina.
Por último são feitos testes de performance sobre alguns sistemas de Speech Recognition e
de forma a colocar em prática alguns conceitos apresentados neste trabalho, é apresentado
a implementação de um sistema de conversação Homem-máquina.
Sobre este trabalho várias ilações foram obtidas, entre as quais, a alta complexidade dos
sistemas de conversação Homem-máquina, a baixa performance no reconhecimento de voz
em ambientes com ruído e as barreiras que se podem encontrar na implementação destes
sistemas.
Advisors/Committee Members: Costa, Nuno Alexandre Ribeiro da.
Subjects/Keywords: Speech recognition; Text to speech; Automatic speech recognition; Spoken dialogue systems; Conversação homem-máquin; Word error rate; Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Rato, J. P. C. (2016). Conversação homem-máquina. Caracterização e avaliação do estado actual das soluções de speech recognition, speech synthesis e sistemas de conversação homem-máquina. (Thesis). Instituto Politécnico de Leiria. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/2375
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Rato, João Pedro Cordeiro. “Conversação homem-máquina. Caracterização e avaliação do estado actual das soluções de speech recognition, speech synthesis e sistemas de conversação homem-máquina.” 2016. Thesis, Instituto Politécnico de Leiria. Accessed March 01, 2021.
http://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/2375.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Rato, João Pedro Cordeiro. “Conversação homem-máquina. Caracterização e avaliação do estado actual das soluções de speech recognition, speech synthesis e sistemas de conversação homem-máquina.” 2016. Web. 01 Mar 2021.
Vancouver:
Rato JPC. Conversação homem-máquina. Caracterização e avaliação do estado actual das soluções de speech recognition, speech synthesis e sistemas de conversação homem-máquina. [Internet] [Thesis]. Instituto Politécnico de Leiria; 2016. [cited 2021 Mar 01].
Available from: http://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/2375.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Rato JPC. Conversação homem-máquina. Caracterização e avaliação do estado actual das soluções de speech recognition, speech synthesis e sistemas de conversação homem-máquina. [Thesis]. Instituto Politécnico de Leiria; 2016. Available from: http://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/2375
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
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Open Access Theses and Dissertations
