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You searched for subject:(multi sensory feedback). Showing records 1 – 2 of 2 total matches.

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1. de Barros, Paulo. Evaluation of Multi-sensory Feedback in Virtual and Real Remote Environments in a USAR Robot Teleoperation Scenario.

Degree: PhD, 2014, Worcester Polytechnic Institute

The area of Human-Robot Interaction deals with problems not only related to robots interacting with humans, but also with problems related to humans interacting and controlling robots. This dissertation focuses on the latter and evaluates multi-sensory (vision, hearing, touch, smell) feedback interfaces as a means to improve robot-operator cognition and performance. A set of four empirical studies using both simulated and real robotic systems evaluated a set of multi-sensory feedback interfaces with various levels of complexity. The task scenario for the robot in these studies involved the search for victims in a debris-filled environment after a fictitious catastrophic event (e.g., earthquake) took place. The results show that, if well-designed, multi-sensory feedback interfaces can indeed improve the robot operator data perception and performance. Improvements in operator performance were detected for navigation and search tasks despite minor increases in workload. In fact, some of the multi-sensory interfaces evaluated even led to a reduction in workload. The results also point out that redundant feedback is not always beneficial to the operator. While introducing the concept of operator omni-directional perception, that is, the operator’s capability of perceiving data or events coming from all senses and in all directions, this work explains that feedback redundancy is only beneficial when it enhances the operator omni-directional perception of data relevant to the task at hand. Last, the comprehensive methodology employed and refined over the course of the four studies is suggested as a starting point for the design of future HRI user studies. In summary, this work sheds some light on the benefits and challenges multi-sensory feedback interfaces bring, specifically on teleoperated robotics. It adds to our current understanding of these kinds of interfaces and provides a few insights to assist the continuation of research in the area. Advisors/Committee Members: Matthew O. Ward, Committee Member, David C. Brown, Committee Member, Michael A. Goodrich, Committee Member, Robert W. Lindeman, Advisor.

Subjects/Keywords: smell feedback; vibro-tactile feedback; audio feedback; visual feedback; urban search-and-rescue; human-robot interaction; robot teleoperation; multi-sensory feedback

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

de Barros, P. (2014). Evaluation of Multi-sensory Feedback in Virtual and Real Remote Environments in a USAR Robot Teleoperation Scenario. (Doctoral Dissertation). Worcester Polytechnic Institute. Retrieved from etd-042614-101502 ; https://digitalcommons.wpi.edu/etd-dissertations/454

Chicago Manual of Style (16th Edition):

de Barros, Paulo. “Evaluation of Multi-sensory Feedback in Virtual and Real Remote Environments in a USAR Robot Teleoperation Scenario.” 2014. Doctoral Dissertation, Worcester Polytechnic Institute. Accessed September 29, 2020. etd-042614-101502 ; https://digitalcommons.wpi.edu/etd-dissertations/454.

MLA Handbook (7th Edition):

de Barros, Paulo. “Evaluation of Multi-sensory Feedback in Virtual and Real Remote Environments in a USAR Robot Teleoperation Scenario.” 2014. Web. 29 Sep 2020.

Vancouver:

de Barros P. Evaluation of Multi-sensory Feedback in Virtual and Real Remote Environments in a USAR Robot Teleoperation Scenario. [Internet] [Doctoral dissertation]. Worcester Polytechnic Institute; 2014. [cited 2020 Sep 29]. Available from: etd-042614-101502 ; https://digitalcommons.wpi.edu/etd-dissertations/454.

Council of Science Editors:

de Barros P. Evaluation of Multi-sensory Feedback in Virtual and Real Remote Environments in a USAR Robot Teleoperation Scenario. [Doctoral Dissertation]. Worcester Polytechnic Institute; 2014. Available from: etd-042614-101502 ; https://digitalcommons.wpi.edu/etd-dissertations/454


Penn State University

2. Reschechtko, Sasha. Roles of Feedback in the Stability of Multi-Finger Action.

Degree: 2018, Penn State University

The ability to interact with the world in a consistent and predictable fashion is extremely important to our survival and wellbeing. The stability of our actions guaranteed by the healthy central nervous systems (CNS) is therefore a highly informative object of study. This dissertation investigates effects of various modalities of sensory feedback on the stability of isometric multi-finger action through a number of experiments which alter various combinations of sensory modalities. Stability of action is quantified using across-trials variance analysis techniques in the space of performance variables which subjects were instructed to maintain, which include (for different experiments) total force produced by the fingers, computed moment of force produced by the fingers, and relative contribution to total force for various fingers. In addition, stability of multi-finger action is quantified in the space of theoretical control variables relating to the coordinated spatial activation patterns of muscles which result in referent coordinates and apparent stiffnesses quantifiable for individual fingers and the hand as a whole. These latter variables are assessed both in terms of their effects on performance variables (descending synergies) as well as their situation in an assumed hierarchy of control (ascending synergies). Visual feedback on salient performance variables exerts a strong influence on the stability of action quantified at a task level, while manipulations of other feedback modalities are seen primarily when visual feedback is not available. Despite the effects of visual feedback at the task level, synergies in the space of control variables showed less modulation during visual manipulations and some ascending synergies even increased when visual feedback was removed. Together, these results reflect the high specificity of CNS in stabilizing certain aspects of task performance and suggest that such behaviors come about by altering inter-finger coordination without modifying certain basic aspects of the control of individual fingers. Advisors/Committee Members: Mark Latash, Dissertation Advisor/Co-Advisor, Mark Latash, Committee Chair/Co-Chair, Robert L Sainburg, Committee Member, Jonas Rubenson, Committee Member, Andris Freivalds, Outside Member.

Subjects/Keywords: Motor Control; Multi-Finger Coordination; Sensory Feedback; Isometric Force Production; Uncontrolled Manifold Hypothesis; Referent Configuration Hypothesis; Synergy

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Reschechtko, S. (2018). Roles of Feedback in the Stability of Multi-Finger Action. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15059sxr392

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):

Reschechtko, Sasha. “Roles of Feedback in the Stability of Multi-Finger Action.” 2018. Thesis, Penn State University. Accessed September 29, 2020. https://submit-etda.libraries.psu.edu/catalog/15059sxr392.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Reschechtko, Sasha. “Roles of Feedback in the Stability of Multi-Finger Action.” 2018. Web. 29 Sep 2020.

Vancouver:

Reschechtko S. Roles of Feedback in the Stability of Multi-Finger Action. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Sep 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/15059sxr392.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reschechtko S. Roles of Feedback in the Stability of Multi-Finger Action. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15059sxr392

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.