+publisher:"University of North Carolina" +contributor:("Kelly, Diane")

University of North Carolina

1. Sheble, Laura Ann. Diffusion of Meta-Analysis, Systematic Review, and Related Research Synthesis Methods: Patterns, Contexts, and Impact.

Degree: 2014, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:73a32fb4-43ff-4e91-8ba2-0a4e72dc800f

► Like collaboration and interdisciplinary scholarship, research synthesis methods are used to integrate science knowledge. Unlike collaboration and interdisciplinary scholarship, research synthesis is a scientific method… (more)

▼ Like collaboration and interdisciplinary scholarship, research synthesis methods are used to integrate science knowledge. Unlike collaboration and interdisciplinary scholarship, research synthesis is a scientific method researchers apply to systematically and explicitly integrate knowledge from primary research studies to estimate the best answer to a specific question based on accumulated research findings. This study investigates the diffusion and impact of research synthesis methods at the macro- and meso-levels. At the macro-level, diffusion from 1972-2011 is described using bibliometric methods. Relatively modest engagement with the methods in the 1970s and 1980s was followed by increased engagement across a greater diversity of fields in the 1990s. Engagement with the methods continued to increase and spread across fields through the first decade of the 2000s. Engagement with research synthesis methods was strongly correlated with engagement with evidence-based practice (ρ=0.893, p < 0.001) and the number of years a field engaged with the methods (ρ = 0.706, p < 0.001), moderately correlated with engagement with past research (ρ = 0.403, p < 0.001); and modestly correlated with Biglan class (ρ = 0.279, p = 0.011). Five fields, Evolutionary Biology, Conservation Biology, Social Work, Women’s Studies, and Information and Library Science were selected for investigation at the meso-level. Content analysis, topic modeling, and qualitative summaries of literature at the intersections of these fields and research synthesis contextualize the diffusion process and reveal differences and similarities across field contexts. Bibliometric evaluation indicates that adoption of research synthesis contributes to changes in collaboration patterns: a greater number of authors contribute to research syntheses than research reviews in fields where collaboration on research reviews is low. This study provides some evidence that use of the methods has refined rather than replaced roles of traditional research reviews in Social Work; and illustrates interactions between innovations and use contexts. Innovations and their contexts are modified through adaptations influenced by historical contexts, values, and goals that intersect with the innovation use context. Advisors/Committee Members: Sheble, Laura Ann, Kelly, Diane.

Subjects/Keywords: School of Information and Library Science

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APA (6^th Edition):

Sheble, L. A. (2014). Diffusion of Meta-Analysis, Systematic Review, and Related Research Synthesis Methods: Patterns, Contexts, and Impact. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:73a32fb4-43ff-4e91-8ba2-0a4e72dc800f

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

Chicago Manual of Style (16^th Edition):

Sheble, Laura Ann. “Diffusion of Meta-Analysis, Systematic Review, and Related Research Synthesis Methods: Patterns, Contexts, and Impact.” 2014. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:73a32fb4-43ff-4e91-8ba2-0a4e72dc800f.

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

MLA Handbook (7^th Edition):

Sheble, Laura Ann. “Diffusion of Meta-Analysis, Systematic Review, and Related Research Synthesis Methods: Patterns, Contexts, and Impact.” 2014. Web. 13 Apr 2021.

Vancouver:

Sheble LA. Diffusion of Meta-Analysis, Systematic Review, and Related Research Synthesis Methods: Patterns, Contexts, and Impact. [Internet] [Thesis]. University of North Carolina; 2014. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:73a32fb4-43ff-4e91-8ba2-0a4e72dc800f.

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

Council of Science Editors:

Sheble LA. Diffusion of Meta-Analysis, Systematic Review, and Related Research Synthesis Methods: Patterns, Contexts, and Impact. [Thesis]. University of North Carolina; 2014. Available from: https://cdr.lib.unc.edu/record/uuid:73a32fb4-43ff-4e91-8ba2-0a4e72dc800f

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

University of North Carolina

2. Bartel, Jacob. Predictions to Ease Users' Effort in Scalable Sharing.

Degree: Computer Science, 2015, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:279a0cd5-ee7e-4045-8be2-2bf2323107ff

► Significant user effort is required to choose recipients of shared information, which grows as the scale of the number of potential or target recipients increases.… (more)

▼ Significant user effort is required to choose recipients of shared information, which grows as the scale of the number of potential or target recipients increases. It is our thesis that it is possible to develop new approaches to predict persistent named groups, ephemeral groups, and response times that will reduce user effort. We predict persistent named groups using the insight that implicit social graphs inferred from messages can be composed with existing prediction techniques designed for explicit social graphs, thereby demonstrating similar grouping patterns in email and communities. However, this approach still requires that users know when to generate such predictions. We predict group creation times based on the intuition that bursts of change in the social graph likely signal named group creation. While these recommendations can help create new groups, they do not update existing ones. We predict how existing named groups should evolve based on the insight that the growth rates of named groups and the underlying social graph will match. When appropriate named groups do not exist, it is useful to predict ephemeral groups of information recipients. We have developed an approach to make hierarchical recipient recommendations that groups the elements in a flat list of recommended recipients, and thus is composable with existing flat recipient-recommendation techniques. It is based on the insight that groups of recipients in past messages can be organized in a tree. To help users select among alternative sets of recipients, we have made predictions about the scale of response time of shared information, based on the insights that messages addressed to similar recipients or containing similar titles will yield similar response times. Our prediction approaches have been applied to three specific systems - email, Usenet and Stack Overflow - based on the insight that email recipients correspond to Stack Overflow tags and Usenet newsgroups. We evaluated these approaches with actual user data using new metrics for measuring the differences in scale between predicted and actual response times and measuring the costs of eliminating spurious named-group predictions, editing named-group recommendations for use in future messages, scanning and selecting hierarchical ephemeral group-recommendations, and manually entering recipients. Advisors/Committee Members: Bartel, Jacob, Dewan, Prasun, Ahalt, Stanley, Berg, Alexander, Kelly, Diane, Jojic, Vladimir, Monrose, Fabian, Reiter, Michael.

Subjects/Keywords: Computer science; College of Arts and Sciences; Department of Computer Science

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APA (6^th Edition):

Bartel, J. (2015). Predictions to Ease Users' Effort in Scalable Sharing. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:279a0cd5-ee7e-4045-8be2-2bf2323107ff

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

Chicago Manual of Style (16^th Edition):

Bartel, Jacob. “Predictions to Ease Users' Effort in Scalable Sharing.” 2015. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:279a0cd5-ee7e-4045-8be2-2bf2323107ff.

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

MLA Handbook (7^th Edition):

Bartel, Jacob. “Predictions to Ease Users' Effort in Scalable Sharing.” 2015. Web. 13 Apr 2021.

Vancouver:

Bartel J. Predictions to Ease Users' Effort in Scalable Sharing. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:279a0cd5-ee7e-4045-8be2-2bf2323107ff.

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

Council of Science Editors:

Bartel J. Predictions to Ease Users' Effort in Scalable Sharing. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:279a0cd5-ee7e-4045-8be2-2bf2323107ff

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

University of North Carolina

3. Shah, Chirag. A Framework for Supporting User-Centric Collaborative Information Seeking.

Degree: 2010, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:5ffcc81c-3825-4f11-bf6b-682ff701d52d

► Collaboration is often required or encouraged for activities that are too complex or difficult to deal with for an individual. Many situations involving information seeking… (more)

Subjects/Keywords: School of Information and Library Science

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

APA (6^th Edition):

Shah, C. (2010). A Framework for Supporting User-Centric Collaborative Information Seeking. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:5ffcc81c-3825-4f11-bf6b-682ff701d52d

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

Chicago Manual of Style (16^th Edition):

Shah, Chirag. “A Framework for Supporting User-Centric Collaborative Information Seeking.” 2010. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:5ffcc81c-3825-4f11-bf6b-682ff701d52d.

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

MLA Handbook (7^th Edition):

Shah, Chirag. “A Framework for Supporting User-Centric Collaborative Information Seeking.” 2010. Web. 13 Apr 2021.

Vancouver:

Shah C. A Framework for Supporting User-Centric Collaborative Information Seeking. [Internet] [Thesis]. University of North Carolina; 2010. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:5ffcc81c-3825-4f11-bf6b-682ff701d52d.

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

Council of Science Editors:

Shah C. A Framework for Supporting User-Centric Collaborative Information Seeking. [Thesis]. University of North Carolina; 2010. Available from: https://cdr.lib.unc.edu/record/uuid:5ffcc81c-3825-4f11-bf6b-682ff701d52d

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

University of North Carolina

4. Edwards, Ashlee. Engaged or Frustrated? Disambiguating Engagement and Frustration in Search.

Degree: 2016, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:b6d9a95a-cf09-412b-8a41-7d045b32bd3f

► One of the primary ways researchers have characterized engagement is by an increase in search actions. Another possibility is that instead of experiencing increased engagement,… (more)

▼ One of the primary ways researchers have characterized engagement is by an increase in search actions. Another possibility is that instead of experiencing increased engagement, people who click and query frequently are actually frustrated; several studies have shown that frustration is also characterized by increases in clicking and querying behaviors. This research seeks to illuminate the differences in search behavior between participants who are engaged and frustrated, as well as investigate the effect of task interest on engagement and frustration. To accomplish this, a laboratory experiment was conducted with 40 participants. Participants completed four tasks, and responded to questionnaires that measured their engagement, frustration, and stress. Participants were asked to rank eight topics based on interest, and were given their two most interesting and two least interesting tasks. Poor search result quality was introduced to induce frustration during their most interesting and least interesting tasks. This study found that physiological signals hold some promise for disambiguating engagement and frustration, but this depends on the time frame and manner in which they are examined. Frustrated participants had significantly more skin conductance responses during the task, while engaged participants had greater increases in skin conductance during the first 60 seconds of the task. Significant main and interaction effects for interest and frustration were found for heart rate in the window analysis, indicating that heart rate fluctuations over time can be most effective in distinguishing engagement from frustration. The multilevel modeling of engagement and frustration confirmed this, showing that interest contributed significantly to the model of skin conductance, while frustration contributed significantly to the model of heart rate. This study also found that interest had a significant effect on engagement, while the frustrator effectively created frustration. Frustration also had a significant effect on self-reported stress. Participants exhibited increases in search actions such as clicks and scrolls during periods of both engagement and frustration, but a regression analyses showed that scrolls, clicks on documents, and SERP clicks were most predictive of a frustrating episode. A significant main effect for interest was found for time between queries, indicating that this could be a useful signal of engagement. A model including the physiological signals and search behaviors showed that physiological signals aided in the prediction of engagement and frustration. Findings of this research have provided insight into the utility of physiological signals in distinguishing emotional states as well as provided evidence about the relationship among search actions, engagement and frustration. These findings have also increased our understanding of the role emotions play in search behavior and how information about a searcher’s emotional state can be used to improve the search experience. Advisors/Committee Members: Edwards, Ashlee, Kelly, Diane, Arapakis, Ioannis, O'Brien, Heather, Capra, Robert, Arguello, Jaime.

Subjects/Keywords: School of Information and Library Science

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

APA (6^th Edition):

Edwards, A. (2016). Engaged or Frustrated? Disambiguating Engagement and Frustration in Search. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:b6d9a95a-cf09-412b-8a41-7d045b32bd3f

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

Chicago Manual of Style (16^th Edition):

Edwards, Ashlee. “Engaged or Frustrated? Disambiguating Engagement and Frustration in Search.” 2016. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:b6d9a95a-cf09-412b-8a41-7d045b32bd3f.

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

MLA Handbook (7^th Edition):

Edwards, Ashlee. “Engaged or Frustrated? Disambiguating Engagement and Frustration in Search.” 2016. Web. 13 Apr 2021.

Vancouver:

Edwards A. Engaged or Frustrated? Disambiguating Engagement and Frustration in Search. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:b6d9a95a-cf09-412b-8a41-7d045b32bd3f.

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

Council of Science Editors:

Edwards A. Engaged or Frustrated? Disambiguating Engagement and Frustration in Search. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:b6d9a95a-cf09-412b-8a41-7d045b32bd3f

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

University of North Carolina

5. Patillo, Ericka. The middle manager role in academic libraries.

Degree: 2018, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:9f023ff3-7278-476c-aa52-e7dbb6ea97c4

► The academic library middle manager (ALMM) role is little understood and understudied. Using Organizational Role Theory, Middle Managers’ Four Strategic Roles, and the Taxonomy of… (more)

▼ The academic library middle manager (ALMM) role is little understood and understudied. Using Organizational Role Theory, Middle Managers’ Four Strategic Roles, and the Taxonomy of Managerial Performance Requirements as frameworks, this study was designed to identify and describe the expectations of the middle manager role in academic libraries; to discover the extent to which members of the middle managerâs role set agree about the expectations of the role; to learn the activities and behaviors ALMMs actually perform; to discover how employees learn the role; to learn to what extent AALMs experience role conflict, role ambiguity, and turnover intentions; and the extent to which ALMMs participate in strategic activities. This multiple case study utilized multiple perspective interviews, observations, questionnaires, and document analysis to gather data from 41 library employees across three academic libraries in order to create a bricolage of ALMM role set members’ perceptions, expectations, activities, and behaviors. Based on the degree to which employees’ expressed expectations overlapped (expectations consensus), participants expect ALMMs to communicate effectively, maintain technical proficiency, maintain good working relationships, and coordinate subordinates. But ALMMs also received a wide variety of expectations from their role set members and organizational documents, making them vulnerable to role conflict and role ambiguity. ALMMs also performed many activities that were not expressed as role set member expectations. Library employees learned the ALMM role through social interplay and learning rather through organizational documents or formal training. ALMMs in new positions and those subject to significant organizational change experience greater role ambiguity, while ALMMs who participate in strategic activities experience less role ambiguity. Findings support a further critique of ALMM preparation and training, including LIS education. Advisors/Committee Members: Patillo, Ericka, Moran, Barbara, Solomon, Paul R., Kelly, Diane, Gollop, Claudia, Hughes-Hassell, Sandra.

Subjects/Keywords: School of Information and Library Science

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

APA (6^th Edition):

Patillo, E. (2018). The middle manager role in academic libraries. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:9f023ff3-7278-476c-aa52-e7dbb6ea97c4

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

Chicago Manual of Style (16^th Edition):

Patillo, Ericka. “The middle manager role in academic libraries.” 2018. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:9f023ff3-7278-476c-aa52-e7dbb6ea97c4.

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

MLA Handbook (7^th Edition):

Patillo, Ericka. “The middle manager role in academic libraries.” 2018. Web. 13 Apr 2021.

Vancouver:

Patillo E. The middle manager role in academic libraries. [Internet] [Thesis]. University of North Carolina; 2018. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:9f023ff3-7278-476c-aa52-e7dbb6ea97c4.

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

Council of Science Editors:

Patillo E. The middle manager role in academic libraries. [Thesis]. University of North Carolina; 2018. Available from: https://cdr.lib.unc.edu/record/uuid:9f023ff3-7278-476c-aa52-e7dbb6ea97c4

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

University of North Carolina

6. Brennan, Kathleen. LOAN ME THE MONEY: HOW COGNITIVE ABILITIES AND FINANCIAL KNOWLEDGE INFLUENCE CONSUMERS’ INFORMATION BEHAVIORS.

Degree: 2018, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:7fd8bb86-55d6-40ef-b871-7e541cdce0f6

► For most people, financial well-being depends on the ability to make sound decisions about many aspects of personal finance. This is especially true in the… (more)

▼ For most people, financial well-being depends on the ability to make sound decisions about many aspects of personal finance. This is especially true in the United States (U.S.), when it comes to consumer loan products such as mortgages and student loans. Consumers who lack strong financial knowledge can unwittingly expose themselves to bad information when searching online. Without understanding people’s searching behaviors, information professionals cannot know whether personal finance-related information systems adequately meet the needs of the people using them. Interactive Information Retrieval (IIR) is well-suited to study this, yet there has been little research in this area. One approach that makes sense for studying debt-related information searching is to investigate the role individual differences play in people’s searching. This is because individual differences are testable constructs that can be associated with differences in search performance outcomes. The purpose of this dissertation research is to understand influences that cognitive abilities and financial knowledge have on outcomes related to search, assessment, and mental workload of adults searching online for debt-related personal finance information. A theoretical model is proposed in which financial knowledge acts as a moderating variable on the effect that cognitive abilities have on search and evaluation behaviors as well as mental workload. The results of the study were mixed. The testing of hypotheses on the model were unsuccessful and provide information for informing future model designs and hypothesis development. The qualitative portion of the study provided numerous insights, including that the topic of personal finance, specifically in the realm of financial loans such as mortgages, student loans, and payday loans, is more challenging for people than they realize. Participants reported low prior knowledge of all task topics and used simple search strategies such as avoiding advertisements on search engine results pages (SERPs), relying heavily on the first SERP result, and reformulating queries rather than investigating SERPs at deeper levels. Participants rated most webpages they found as relevant or very relevant but expert assessors rated most of those same pages as only somewhat relevant or not relevant. The findings have numerous implications and point to key areas for further research. Advisors/Committee Members: Brennan, Kathleen, Kelly, Diane, Arguello, Jaime, Capra, Rob, Gwizdka, Jacek, Mostafa, Javed.

Subjects/Keywords: School of Information and Library Science

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APA (6^th Edition):

Brennan, K. (2018). LOAN ME THE MONEY: HOW COGNITIVE ABILITIES AND FINANCIAL KNOWLEDGE INFLUENCE CONSUMERS’ INFORMATION BEHAVIORS. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:7fd8bb86-55d6-40ef-b871-7e541cdce0f6

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

Chicago Manual of Style (16^th Edition):

Brennan, Kathleen. “LOAN ME THE MONEY: HOW COGNITIVE ABILITIES AND FINANCIAL KNOWLEDGE INFLUENCE CONSUMERS’ INFORMATION BEHAVIORS.” 2018. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:7fd8bb86-55d6-40ef-b871-7e541cdce0f6.

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

MLA Handbook (7^th Edition):

Brennan, Kathleen. “LOAN ME THE MONEY: HOW COGNITIVE ABILITIES AND FINANCIAL KNOWLEDGE INFLUENCE CONSUMERS’ INFORMATION BEHAVIORS.” 2018. Web. 13 Apr 2021.

Vancouver:

Brennan K. LOAN ME THE MONEY: HOW COGNITIVE ABILITIES AND FINANCIAL KNOWLEDGE INFLUENCE CONSUMERS’ INFORMATION BEHAVIORS. [Internet] [Thesis]. University of North Carolina; 2018. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:7fd8bb86-55d6-40ef-b871-7e541cdce0f6.

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

Council of Science Editors:

Brennan K. LOAN ME THE MONEY: HOW COGNITIVE ABILITIES AND FINANCIAL KNOWLEDGE INFLUENCE CONSUMERS’ INFORMATION BEHAVIORS. [Thesis]. University of North Carolina; 2018. Available from: https://cdr.lib.unc.edu/record/uuid:7fd8bb86-55d6-40ef-b871-7e541cdce0f6

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

University of North Carolina

7. Cushing, Amber L. Possessions and self extension in digital environments: implications for maintaining personal information.

Degree: 2012, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:35d0177c-dfbc-46d8-91f2-d1dc9b8c59e3

► This research explores individuals' relationships with their personal digital information through the concepts of digital possessions and self extension. Two studies were conducted. In the… (more)

Subjects/Keywords: School of Information and Library Science

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

APA (6^th Edition):

Cushing, A. L. (2012). Possessions and self extension in digital environments: implications for maintaining personal information. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:35d0177c-dfbc-46d8-91f2-d1dc9b8c59e3

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

Chicago Manual of Style (16^th Edition):

Cushing, Amber L. “Possessions and self extension in digital environments: implications for maintaining personal information.” 2012. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:35d0177c-dfbc-46d8-91f2-d1dc9b8c59e3.

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

MLA Handbook (7^th Edition):

Cushing, Amber L. “Possessions and self extension in digital environments: implications for maintaining personal information.” 2012. Web. 13 Apr 2021.

Vancouver:

Cushing AL. Possessions and self extension in digital environments: implications for maintaining personal information. [Internet] [Thesis]. University of North Carolina; 2012. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:35d0177c-dfbc-46d8-91f2-d1dc9b8c59e3.

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

Council of Science Editors:

Cushing AL. Possessions and self extension in digital environments: implications for maintaining personal information. [Thesis]. University of North Carolina; 2012. Available from: https://cdr.lib.unc.edu/record/uuid:35d0177c-dfbc-46d8-91f2-d1dc9b8c59e3

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

University of North Carolina

8. Wu, Wan-Ching. How Far Will You Go? Characterizing Online Search Stopping Behaviors Using Information Scent and Need for Cognition.

Degree: 2014, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:50531543-5a57-41a6-b4f9-b7255291faa3

► This research sought to explain online searchers' stopping behaviors when interacting with search engine result pages (SERPs) using the theories of Information Scent and Need… (more)

▼ This research sought to explain online searchers' stopping behaviors when interacting with search engine result pages (SERPs) using the theories of Information Scent and Need for Cognition (NFC). Specifically, the problems addressed were how: (1) information scent level, operationalized as the number of relevant documents on the first SERP, (2) information scent pattern, operationalized as the distribution of relevant and non-relevant results on the first SERP, and (3) NFC, a person's tendency to engage in and enjoy effortful cognitive activities measured by the Need for Cognition scale, impacted a person's search stopping behaviors. The two search stopping behaviors that were examined were query stopping, or the point at which a person decides to issue a new query, and task stopping, or the point at which a person decides to end the search task. A laboratory experiment was conducted with 48 participants, who were asked to gather information for six open-ended search tasks. Participants were interviewed about their search stopping behaviors at the end of the study using recordings of their search processes to stimulate recall. The results showed significant effects of Information Scent and NFC on search stopping behaviors. When there were more relevant results on the first SERP, participants examined more documents and explored deeper in the search results list. Participants' behaviors were also affected by the distribution of relevant results on the first SERP: when relevant results were found at the top of the SERP, participants left the SERP after viewing only the first few results. When participants encountered relevant results dispersed across the first SERP at the start of a search task, participants issued more queries subsequently to solve the search task. Participants with lower NFC searched deeper but reformulated queries less frequently during a task. Moreover, the time participants with lower NFC spent evaluating search results was more variable depending on the number of relevant results displayed on the first SERP than the time spent by higher NFC participants. Finally, participants reported that they tended to examine results beyond the first SERP when they conducted people, product, image and literature searches in daily life. Advisors/Committee Members: Wu, Wan-Ching, Kelly, Diane, Arguello, Jaime, Capra, Robert, Belkin, Nicholas, Wildemuth, Barbara.

Subjects/Keywords: World Wide Web – Study and teaching; Information science; Psychology; School of Information and Library Science

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

APA (6^th Edition):

Wu, W. (2014). How Far Will You Go? Characterizing Online Search Stopping Behaviors Using Information Scent and Need for Cognition. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:50531543-5a57-41a6-b4f9-b7255291faa3

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

Chicago Manual of Style (16^th Edition):

Wu, Wan-Ching. “How Far Will You Go? Characterizing Online Search Stopping Behaviors Using Information Scent and Need for Cognition.” 2014. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:50531543-5a57-41a6-b4f9-b7255291faa3.

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

MLA Handbook (7^th Edition):

Wu, Wan-Ching. “How Far Will You Go? Characterizing Online Search Stopping Behaviors Using Information Scent and Need for Cognition.” 2014. Web. 13 Apr 2021.

Vancouver:

Wu W. How Far Will You Go? Characterizing Online Search Stopping Behaviors Using Information Scent and Need for Cognition. [Internet] [Thesis]. University of North Carolina; 2014. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:50531543-5a57-41a6-b4f9-b7255291faa3.

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

Council of Science Editors:

Wu W. How Far Will You Go? Characterizing Online Search Stopping Behaviors Using Information Scent and Need for Cognition. [Thesis]. University of North Carolina; 2014. Available from: https://cdr.lib.unc.edu/record/uuid:50531543-5a57-41a6-b4f9-b7255291faa3

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

University of North Carolina

9. Carter, Jason. Automatic Difficulty Detection.

Degree: Computer Science, 2014, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:a7dcfe9b-f509-4715-85a0-e167b4976c25

► Previous work has suggested that the productivity of developers increases when they help each other and as distance increases, help is offered less. One way… (more)

▼ Previous work has suggested that the productivity of developers increases when they help each other and as distance increases, help is offered less. One way to make the amount of help independent of distance is to develop a system that automatically determines and communicates developers' difficulty. It is our thesis that automatic difficulty detection is possible and useful. To provide evidence to support this thesis, we developed six novel components: * programming-activity difficulty-detection * multimodal difficulty-detection * integrated workspace-difficulty awareness * difficulty-level detection * barrier detection * reusable difficulty-detection framework Programming-activity difficulty-detection mines developers' interactions. It is based on the insight that when developers are having difficulty their edit ratio decreases while other ratios such as the debug and navigation ratios increase. This component has a low false positive rate but a high false negative rate. The high false negative rate limitation is addressed by multimodal difficulty-detection. This component mines both programmers' interactions and Kinect camera data. It is based on the insight that when developers are having difficulty, both edit ratios and postures often change. Integrated workspace-difficulty awareness combines continuous knowledge of remote users' workspace with continuous knowledge of when developers are having difficulty. Two variations of this component are possible based on whether potential helpers can replay developers' screen recordings. One limitation of this component is that sometimes, potential helpers spend a large amount of time trying to determine if they can offer help. Difficulty-level and barrier detection address this limitation. The former is based on the insight that when developers are having surmountable difficulties they tend to perform a cycle of editing and debugging their code; and when they are having insurmountable difficulties they tend to spend a large amount of time a) between actions and b) outside of the programming environment. Barrier detection infers two kinds of difficulties: incorrect output and design. This component is based the insight that when developers have incorrect output, their debug ratios increase; and when they have difficulty designing algorithms, they spend a large amount of time outside of the programming environment. The reusable difficulty-detection framework uses standard design patterns to enable programming-activity difficulty-detection to be used in two programming environments, Eclipse and Visual Studio. These components have been validated using lab and/or field studies. Advisors/Committee Members: Carter, Jason, Dewan, Prasun, Brooks, Edward F., Kelly, Diane, Stotts, P. David, Wang, Wei.

Subjects/Keywords: Computer science; College of Arts and Sciences; Department of Computer Science

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

APA (6^th Edition):

Carter, J. (2014). Automatic Difficulty Detection. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:a7dcfe9b-f509-4715-85a0-e167b4976c25

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

Chicago Manual of Style (16^th Edition):

Carter, Jason. “Automatic Difficulty Detection.” 2014. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:a7dcfe9b-f509-4715-85a0-e167b4976c25.

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

MLA Handbook (7^th Edition):

Carter, Jason. “Automatic Difficulty Detection.” 2014. Web. 13 Apr 2021.

Vancouver:

Carter J. Automatic Difficulty Detection. [Internet] [Thesis]. University of North Carolina; 2014. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:a7dcfe9b-f509-4715-85a0-e167b4976c25.

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

Council of Science Editors:

Carter J. Automatic Difficulty Detection. [Thesis]. University of North Carolina; 2014. Available from: https://cdr.lib.unc.edu/record/uuid:a7dcfe9b-f509-4715-85a0-e167b4976c25

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

University of North Carolina

10. Bailey, Earl. MEASURING ONLINE SEARCH EXPERTISE.

Degree: 2017, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:6086308c-0965-458f-a593-a542fc0a2f9c

► Search expertise has long been studied and used extensively in information seeking behavior research, both as a fundamental concept and as a method of comparing… (more)

▼ Search expertise has long been studied and used extensively in information seeking behavior research, both as a fundamental concept and as a method of comparing groups of users. Unfortunately, while search expertise has been studied for some time, the conceptualization of it has lagged behind its use in categorizing users. This has led to users who were defined as experts in one study who could be considered novices in another study. Not only does this make it difficult to know how search expertise impacts the issues being studied, it also makes it difficult to compare results between studies. It is clear that search expertise is more important now than ever as the information and misinformation available online grows exponentially. It must first be conceptually designed and modeled, and then it must be operationalized so that it can be reliably measured. This research first examined prior research related to online search expertise and created a working definition and model. One-on-one interviews were then conducted with nine known search experts, who were asked to describe online search expertise. These same experts were then gathered into three separate focus groups where they examined and grouped the items gathered from their individual interviews. The items and groupings from the focus groups were then used to update the model and also to create an initial instrument to measure online search expertise. That initial instrument was then given to 14 targeted participants in one-on-one cognitive interviews. The instrument was modified based upon the results of those interviews and then given to four targeted groups of participants and the results from 466 of those participants were examined using statistical methods. The results support the use of aggregate scores for past experience, self-rated search ability, and search skill ability as continuous measures of online search expertise. While the personality items used in the research suffered from the same inconclusive results as prior research, the inclusion of analytical abilities in future versions is indicated. Advisors/Committee Members: Bailey, Earl, Kelly, Diane, Wildemuth, Barbara, Capra, Robert, Smith, Catherine, Flaherty, Mary Grace, University of North Carolina at Chapel Hill.

Subjects/Keywords: School of Information and Library Science

Record Details Similar Records Cite « Share

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

APA (6^th Edition):

Bailey, E. (2017). MEASURING ONLINE SEARCH EXPERTISE. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:6086308c-0965-458f-a593-a542fc0a2f9c

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

Chicago Manual of Style (16^th Edition):

Bailey, Earl. “MEASURING ONLINE SEARCH EXPERTISE.” 2017. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:6086308c-0965-458f-a593-a542fc0a2f9c.

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

MLA Handbook (7^th Edition):

Bailey, Earl. “MEASURING ONLINE SEARCH EXPERTISE.” 2017. Web. 13 Apr 2021.

Vancouver:

Bailey E. MEASURING ONLINE SEARCH EXPERTISE. [Internet] [Thesis]. University of North Carolina; 2017. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:6086308c-0965-458f-a593-a542fc0a2f9c.

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

Council of Science Editors:

Bailey E. MEASURING ONLINE SEARCH EXPERTISE. [Thesis]. University of North Carolina; 2017. Available from: https://cdr.lib.unc.edu/record/uuid:6086308c-0965-458f-a593-a542fc0a2f9c

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