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Medical sensemaking with entity workspace

Published:29 April 2007Publication History

ABSTRACT

Knowledge workers making sense of a topic divide their time among activities including searching for information, reading, and taking notes. We have built a software system that supports and integrates these activities. To test its effectiveness, we conducted a study where subjects used it to perform medical question-answering tasks. Initial results indicate that subjects could use the system, but that the nature of this use depended on the subject's overall question-answering strategy. Two dominant strategies emerged that we call the Reader and Searcher strategies.

References

  1. Bier, E., Ishak, E., and Chi, E. Entity quick click: rapid text copying based on automatic entity extraction. Extended Abstracts of the Conference on Human Factors in Computing Systems (CHI 2006). Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Bier, E., Ishak, E., and Chi, E. Entity Workspace: an evidence file that aids memory, inference, and reading. Proceedings of Intelligence and Security Informatics (ISI 2006), pp. 466--472, Springer-Verlag. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Teevan, J., Alvarado, C., Ackerman, M., and Karger, D. The perfect search engine is not enough: a study of orienteering behavior in directed search. Proceedings of the Conference on Human Factors in Computing Systems (CHI 2004), pp. 415--422. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Wright, W., Schroh, D., Proulx, P., Skaburskis, A., and Cort, B. The sandbox for analysis: concepts and evaluation. Proceedings of the Conference on Human Factors in Computing Systems (CHI 2006), pp. 801--810. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Medical sensemaking with entity workspace

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    • Published in

      cover image ACM Conferences
      CHI '07: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2007
      1654 pages
      ISBN:9781595935939
      DOI:10.1145/1240624

      Copyright © 2007 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 29 April 2007

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      Acceptance Rates

      CHI '07 Paper Acceptance Rate182of840submissions,22%Overall Acceptance Rate6,199of26,314submissions,24%

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