Knowledge Representation and Re-Use for Exploratory and Collaborative Search
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An NSF funded research project at the
School of Information and Library Science
University of North Carolina at Chapel Hill
PI: Rob Capra
NSF Grant No.: 1552587
Duration:2016-2021 (expected)
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School of Information and Library Science
University of North Carolina at Chapel Hill
PI: Rob Capra
NSF Grant No.: 1552587
Duration:2016-2021 (expected)
Project Goals
This research will develop and evaluate novel techniques and interfaces to allow users to capture, save, share, and re-use structured information about search tasks, search processes, and domain information. A central innovation in this research will be the integration of template structures (including lists, hierarchies, two-dimensional grids, and concept maps) into the user interface and underlying search system in order help users save and organize the information they discover. This structured information will then be used by the system to help support the future searches of individuals and groups of users working collaboratively. RECENT NEWS
This research will develop and evaluate novel techniques and interfaces to allow users to capture, save, share, and re-use structured information about search tasks, search processes, and domain information. A central innovation in this research will be the integration of template structures (including lists, hierarchies, two-dimensional grids, and concept maps) into the user interface and underlying search system in order help users save and organize the information they discover. This structured information will then be used by the system to help support the future searches of individuals and groups of users working collaboratively. RECENT NEWS
- We had 2 full papers, 1 short paper, and a Doctoral Consortium submission from the project accepted to CHIIR 2020 in Vancouver! (Dec 2019)
- PhD student Yinglong Zhang passed his disseration defense (Dec 2019)! Congratulations Dr. Zhang!
- PhD student Anita Crescenzi passed her disseration defense (July 2019)! Congratulations Dr. Crescenzi!
- Our ECIR 2017 paper won the Best Paper Award! (annoucement on Twitter)
- Rob Capra, PI
- Anita Crescenzi, Post-Doctoral Researcher
- Yuan Li, Ph.D. student
- Austin Ward, Ph.D. student
- Bogeum Choi, Ph.D. student
- Yinglong Zhang (PhD completed, Jan 2019), now at Google
- Anita Crescenzi (PhD completed, Dec 2019), now a post-doctoral researcher
- Gaby Matalon
- Li, Y., Capra, R., and Zhang, Y. Everyday Cross-session Search: How and Why Do People search Across Multiple Sessions? To appear: Proceedings of the 5th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2020).
- Zhang, Y., Capra, R., and Li, Y. An In-situ Study of Information Needs in Design-related Creative Projects To appear: Proceedings of the 5th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2020).
- Arguello, J., and Capra, R. Sources of Evidence for Interactive Table Completion To appear: Proceedings of the 5th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2020).
- Li, Y. Interruption and Renewal: How and Why Do People Search Across Sessions? To appear: Proceedings of the 5th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2020).
- Crescenzi, A., Li, Y., Zhang, Y., and Capra R. Towards Better Support for Exploratory Search through an Investigation of Notes-to-self and Notes-to-share Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019).
- Zhang, Y., and Capra, R. Understanding How People use Search to Support their Everyday Creative Tasks. Proceedings of the 4th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019).
- Choi, B., Capra, R., and Arguello, J. The Effects of Working Memory during Search Tasks of Varying Complexity. Proceedings of the 4th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019).
- Avula, S., Arguello, J., Capra, R., Dodson, J., Huang, Y., and Radlinski. F. Embedding Search into a Conversational Platform to Support Collaborative Search. Proceedings of the 4th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019).
- Capra, R., Arguello, J., O'Brien, H., Li, Y., and Choi, B. The Effects of Manipulating Task Determinability on Search Behaviors and Outcomes. Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018).
- ECIR 2017 Best Paper Award. Capra, R., Arguello, J., and Zhang, Y. The Effects of Search Task Determinability on Search Behavior. Proceedings of the 39th European Conference on Information Retrieval (ECIR 2017).
- Zhang, Y. Creative Search: Using search to leverage your everday creativity. ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2018) Doctoral Consortium.
- Avula, S., Chadwick, G., Arguello, J., and Capra, R. SearchBots: User engagement with chatbots during collaborative search. Proceedings of the 3rd ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2018).
- Crescenzi, A., Capra, R., and Arguello, J. Time Limits, Information Search and the Use of Search Assistance. Proceedings of the 2nd ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2017).
- OrgBox tool: supports sensemaking of information found during complex, exploratory search tasks<\li>
- Matrix tool: supports organizing information in support of comparative search tasks
- Source code
- Materials from our CHIIR 2021 paper on Cross-Session Search Materials from our CHIIR 2019 paper on Creative Search:
- Materials from our SIGIR 2018 paper on Manipulating Task Determinability:
- Materials from our ECIR 2017 paper on Task Determinability:
This material is based upon work supported by the National Science Foundation under Grant No. 1552587.
Any opitions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.