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Exploratory search and HCI: designing and evaluating interfaces to support exploratory search interaction

Published: 28 April 2007 Publication History

Abstract

The model of search as a turn-taking dialogue between the user and an intermediary has remained unchanged for decades. However, there is growing interest within the search community in evolving this model to support search-driven information exploration activities. So-called "exploratory search" describes a class of search activities that move beyond fact retrieval toward fostering learning, investigation, and information use. Exploratory search interaction focuses on the user-system communication essential during exploratory search processes. Given this user-centered focus, the CHI conference is an ideal venue to discuss mechanisms to support exploratory search behaviors. Specifically, this workshop aims to gather researchers, academics, and practitioners working in human-computer interaction, information retrieval, and other related disciplines, for a discussion of the issues relating to the design and evaluation of interfaces to help users explore, learn, and use information. These are important issues with far-reaching implications for how many computer users accomplish their tasks.

References

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Golovchinsky, G. and Belkin, N.J. (1999). Innovation and evaluation of information exploration interfaces: A CHI98 workshop, SIGCHI Bulletin 31, 1, 22--25.
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Hearst, M. (2006). Clustering versus faceted categorization for information exploration, Communications of the ACM 49, 4, 59--61.
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Huynh, D., Drucker, S., Baudisch, P., and Wong, C. (2005). TimeQuilt: Scaling up zoomable browsers for large, unstructured photo collections. In Proc. CHI 2005, 1937--1940.
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Marchionini, G. (2006). Exploratory search: From finding to understanding. Communications of the ACM 49, 4, 41--46.
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Pirolli, P. and Card, S. (1995). Information foraging in information access environments. In Proc. CHI 1995, 51--58.
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schraefel, m. c., Karam, M., and Zhao, S. (2003). Listen to the music: Audio preview cues for exploration of online music. In Proc. INTERACT 2003, 192--199.
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White, R. W., Kules, B., Drucker, S. and schraefel, m.c. (2006). Supporting exploratory search: Introduction. Communications of the ACM 49, 4, 36--39.

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  • (2024)Making exploratory search engines using qualitative case studies: a mixed method implementation using interviews with Detroit ArtisansJournal of Integrated Global STEM10.1515/jigs-2024-00071:1(15-32)Online publication date: 15-Nov-2024
  • (2019)Machine Learning in Legal PracticeProceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society10.1145/3306618.3314324(557-558)Online publication date: 27-Jan-2019
  • (2018)A Framework to Conduct and Report on Empirical User Studies in Semantic Web ContextsKnowledge Engineering and Knowledge Management10.1007/978-3-030-03667-6_36(567-583)Online publication date: 31-Oct-2018
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cover image ACM Conferences
CHI EA '07: CHI '07 Extended Abstracts on Human Factors in Computing Systems
April 2007
1286 pages
ISBN:9781595936424
DOI:10.1145/1240866
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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Publication History

Published: 28 April 2007

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Author Tags

  1. evaluation
  2. exploratory search
  3. user interfaces

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CHI07
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Acceptance Rates

CHI EA '07 Paper Acceptance Rate 212 of 582 submissions, 36%;
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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ACM CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2025
Yokohama , Japan

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Cited By

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  • (2024)Making exploratory search engines using qualitative case studies: a mixed method implementation using interviews with Detroit ArtisansJournal of Integrated Global STEM10.1515/jigs-2024-00071:1(15-32)Online publication date: 15-Nov-2024
  • (2019)Machine Learning in Legal PracticeProceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society10.1145/3306618.3314324(557-558)Online publication date: 27-Jan-2019
  • (2018)A Framework to Conduct and Report on Empirical User Studies in Semantic Web ContextsKnowledge Engineering and Knowledge Management10.1007/978-3-030-03667-6_36(567-583)Online publication date: 31-Oct-2018
  • (2016)One Query, Many ClicksProceedings of the 25th ACM International on Conference on Information and Knowledge Management10.1145/2983323.2983856(1423-1432)Online publication date: 24-Oct-2016
  • (2016)Presenting bibliographic familiesJournal of Documentation10.1108/JD-01-2015-000172:3(490-526)Online publication date: 9-May-2016
  • (2015)Exploring Big Data with HelixACM SIGMOD Record10.1145/2737817.273782943:4(43-54)Online publication date: 18-Feb-2015
  • (2015)Designing for Exploratory Search on Touch DevicesProceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems10.1145/2702123.2702489(4189-4198)Online publication date: 18-Apr-2015
  • (2015)SenseCluster for Exploring Large Data RepositoriesProceedings of the 2015 48th Hawaii International Conference on System Sciences10.1109/HICSS.2015.116(938-947)Online publication date: 5-Jan-2015
  • (2015)An Empirical Investigation of Emulators in Mobile Web ResearchJournal of Computer Information Systems10.1080/08874417.2014.1164570554:3(67-76)Online publication date: 10-Dec-2015
  • (2014)CiteSightProceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval10.1145/2600428.2609585(807-816)Online publication date: 3-Jul-2014
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