Number of co-authors:21
Number of publications with 3 favourite co-authors:Gary Marchionini:4Bill Kules:2Tito Sierra:1
Robert Capra's 3 most productive colleagues in number of publications:Gary Marchionini:74Susan Dumais:73Jaime Teevan:30
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Publications by Robert Capra (bibliography)
Capra, Robert and Teevan, Jaime (2012): Personal information management in a socially networked world. In: Companion Proceedings of ACM CSCW12 Conference on Computer-Supported Cooperative Work 2012. pp. 1-2.
As more and more information is exchanged digitally, and as the tools for sharing and collaborating become more pervasive, users are presented with new opportunities and challenges in how they manage their personal information. Despite the traditional emphasis on the individual in research related to personal information management (PIM), it is apparent that family, friends, co-workers and other collaborators can strongly influence one's PIM behaviors. In this workshop, we will explore: 1) the role that other people play in an individual's PIM in a variety of collaborative and sharing contexts, and 2) the effects that web and cloud-based services are having on PIM practices. We focus on the challenges users face in an evolving communication ecology when sharing and exposing personal information in a variety of situations.
© All rights reserved Capra and Teevan and/or ACM Press
Capra, Robert, Arguello, Jaime, Chen, Annie, Hawthorne, Katie, Marchionini, Gary and Shaw, Lee (2012): The ResultsSpace collaborative search environment. In: JCDL12 Proceedings of the 2012 Joint International Conference on Digital Libraries 2012. pp. 435-436.
The ResultsSpace Collaborative Search Environment is a tool to support asynchronous collaborative information retrieval among a small group of collaborators. It is designed to promote awareness of collaborators' searches and the documents they have rated. Awareness is supported through several mechanisms: an area that shows a history of queries, a summary display of collaborators' ratings next to each search result, and changes in the visual salience of search results based on their aggregate rating from all collaborators. Faceted controls allow users to filter results based on specific ratings (relevant, not relevant, and maybe) and on specific collaborator(s) who have rated an item. We describe features of the system, how they are implemented, and give insights into the design rationale.
© All rights reserved Capra et al. and/or ACM Press
Brinegar, Justin and Capra, Robert (2011): Managing music across multiple devices and computers. In: Proceedings of the 2011 iConference 2011. pp. 489-495.
In this paper we present results from a study to understand how people use, synchronize, and backup personal digital music collections across multiple devices and computers. We conducted a survey of a university community including students, faculty, and staff, with 184 respondents. Our findings show that the sizes of music collections follow an exponential distribution curve both in terms of number of songs and collection size in gigabytes. Over 50% of the participants in this study owned more than one portable music player and a
© All rights reserved Brinegar and Capra and/or ACM Press
Capra, Robert, Marchionini, Gary, Velasco-Martin, Javier and Muller, Katrina (2010): Tools-at-hand and learning in multi-session, collaborative search. In: Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems 2010. pp. 951-960.
Improving search interfaces and algorithms are major foci of HCI and information retrieval (IR) research respectively. However, less attention has been given to understanding how users collect, manage, organize, and share the results they find from conducting searches on the Web and designing tools to support their needs. In this paper, we present results from a study in which we interviewed 30 people in three cohorts (academic researchers, corporate workers, and people looking for medical information) about their current practices conducting, managing, and sharing information from on-going, exploratory searches. We report results on users' current practices, tool use, areas of difficulties and associated coping strategies with emphasis on how information seekers use a variety of "tools-at-hand" beyond search engines and web browsers as they search, process, and share results, and on the learning processes that occur as they seek and use information over time.
© All rights reserved Capra et al. and/or their publisher
Marchionini, Gary, Shah, Chirag, Lee, Christopher A. and Capra, Robert (2009): Query parameters for harvesting digital video and associated contextual information. In: JCDL09 Proceedings of the 2009 Joint International Conference on Digital Libraries 2009. pp. 77-86.
Video is increasingly important to digital libraries and archives as both primary content and as context for the primary objects in collections. Services like YouTube not only offer large numbers of videos but also usage data such as comments and ratings that may help curators today make selections and aid future generations to interpret those selections. A query-based harvesting strategy is presented and results from daily harvests for six topics defined by 145 queries over a 20-month period are discussed with respect to, query specification parameters, topic, and contribution patterns. The limitations of the strategy and these data are considered and suggestions are offered for curators who wish to use query-based harvesting.
© All rights reserved Marchionini et al. and/or their publisher
Kules, Bill, Capra, Robert, Banta, Matthew and Sierra, Tito (2009): What do exploratory searchers look at in a faceted search interface?. In: JCDL09 Proceedings of the 2009 Joint International Conference on Digital Libraries 2009. pp. 313-322.
This study examined how searchers interacted with a web-based, faceted library catalog when conducting exploratory searches. It applied eye tracking, stimulated recall interviews, and direct observation to investigate important aspects of gaze behavior in a faceted search interface: what components of the interface searchers looked at, for how long, and in what order. It yielded empirical data that will be useful for both practitioners (e.g., for improving search interface designs), and researchers (e.g., to inform models of search behavior). Results of the study show that participants spent about 50 seconds per task looking at (fixating on) the results, about 25 seconds looking at the facets, and only about 6 seconds looking at the query itself. These findings suggest that facets played an important role in the exploratory search process.
© All rights reserved Kules et al. and/or their publisher
Kules, Bill and Capra, Robert (2009): Designing exploratory search tasks for user studies of information seeking support systems. In: JCDL09 Proceedings of the 2009 Joint International Conference on Digital Libraries 2009. pp. 419-420.
This poster describes a procedure for designing exploratory tasks for use in laboratory evaluations of information seeking interfaces. This procedure is grounded in the literature on information seeking and information retrieval and has been refined by an evaluation of four tasks designed for a study of a faceted library catalog. The procedure is intended to be extensible to generate exploratory tasks for other types of interfaces and domains.
© All rights reserved Kules and Capra and/or their publisher
Barreau, Deborah, Capra, Robert, Dumais, Susan, Jones, William and Perez-Quinones, Manuel (2008): Introduction to keeping, refinding and sharing personal information. In ACM Transactions on Information Systems, 26 (4) p. 18.
Capra, Robert, Marchionini, Gary, Oh, Jung Sun, Stutzman, Fred and Zhang, Yan (2007): Effects of structure and interaction style on distinct search tasks. In: JCDL07: Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries 2007. pp. 442-451.
In this paper we present the results of a study that investigates the relationships between search tasks, information architecture, and interaction style. Three kinds of search tasks (simple lookup, complex lookup and exploratory) were performed using three different user interfaces (standard web site, hierarchical text-based faceted interface, and dynamic query faceted interface) for a large-scale public corpus containing semi-structured statistical data and reports. Twenty-eight people conducted the three kinds of searches in a between-subjects study and twelve others conducted the three kinds of searches on all three systems in a within-subjects study. Quantitative results demonstrate that the alternative general-purpose user interfaces that accept automated structuring of data offer comparable effectiveness, efficiency, and aesthetics to manually constructed architectures. Qualitative results demonstrate the manual architectures are favored.
© All rights reserved Capra et al. and/or ACM Press
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