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INVISQUE: intuitive information exploration through interactive visualization

Authors:

Kai XuAuthors Info & Claims

CHI EA '11: CHI '11 Extended Abstracts on Human Factors in Computing Systems

Pages 311 - 316

https://doi.org/10.1145/1979742.1979720

Published: 07 May 2011 Publication History

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Abstract

In this paper we present INVISQUE, a novel system designed for interactive information exploration. Instead of a conventional list-style arrangement, in INVISQUE information is represented by a two-dimensional spatial canvas, with each dimension representing user-defined semantics. Search results are presented as index cards, ordered in both dimensions. Intuitive interactions are used to perform tasks such as keyword searching, results browsing, categorizing, and linking to online resources such as Google and Twitter. The interaction-based query style also naturally lends the system to different types of user input such as multi-touch gestures. As a result, INVISQUE gives users a much more intuitive and smooth experience of exploring large information spaces.

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Cited By

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Ibrahim IAlbarrak ALi X(2017)Constrained recommendations for query visualizationsKnowledge and Information Systems10.1007/s10115-016-1001-551:2(499-529)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1007/s10115-016-1001-5
Wheat AAttfield SFields B(2016)Developing a Model of Distributed Sensemaking: A Case Study of Military AnalysisInformatics10.3390/informatics30100013:1(1)Online publication date: 26-Feb-2016
https://doi.org/10.3390/informatics3010001
Kodagoda NPontis SSimmie DAttfield SWong BBlandford AHankin C(2016)Using Machine Learning to Infer Reasoning Provenance From User Interaction Log DataJournal of Cognitive Engineering and Decision Making10.1177/155534341667278211:1(23-41)Online publication date: 25-Oct-2016
https://doi.org/10.1177/1555343416672782
Show More Cited By

Index Terms

INVISQUE: intuitive information exploration through interactive visualization
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

CHI EA '11: CHI '11 Extended Abstracts on Human Factors in Computing Systems

May 2011

2554 pages

ISBN:9781450302685

DOI:10.1145/1979742

General Chair:
Desney Tan
Microsoft Research
,
Program Chairs:
Bo Begole
PARC
,
Wendy A. Kellogg
IBM Research

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Association for Computing Machinery

New York, NY, United States

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Published: 07 May 2011

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CHI '11: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2011

BC, Vancouver, Canada

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Ibrahim IAlbarrak ALi X(2017)Constrained recommendations for query visualizationsKnowledge and Information Systems10.1007/s10115-016-1001-551:2(499-529)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1007/s10115-016-1001-5
Wheat AAttfield SFields B(2016)Developing a Model of Distributed Sensemaking: A Case Study of Military AnalysisInformatics10.3390/informatics30100013:1(1)Online publication date: 26-Feb-2016
https://doi.org/10.3390/informatics3010001
Kodagoda NPontis SSimmie DAttfield SWong BBlandford AHankin C(2016)Using Machine Learning to Infer Reasoning Provenance From User Interaction Log DataJournal of Cognitive Engineering and Decision Making10.1177/155534341667278211:1(23-41)Online publication date: 25-Oct-2016
https://doi.org/10.1177/1555343416672782
Pérez-Montoro MNualart J(2015)Visual articulation of navigation and search systems for digital librariesInternational Journal of Information Management: The Journal for Information Professionals10.1016/j.ijinfomgt.2015.06.00535:5(572-579)Online publication date: 1-Oct-2015
https://dl.acm.org/doi/10.1016/j.ijinfomgt.2015.06.005
Nguyen PXu KWalker RWong B(2014)SchemaLine: Timeline Visualization for Sensemaking2014 18th International Conference on Information Visualisation10.1109/IV.2014.14(225-233)Online publication date: Jul-2014
https://doi.org/10.1109/IV.2014.14
Rooney CAttfield SWong BChoudhury S(2014)INVISQUE as a Tool for Intelligence Analysis: The Construction of Explanatory NarrativesInternational Journal of Human-Computer Interaction10.1080/10447318.2014.90542230:9(703-717)Online publication date: 18-Jun-2014
https://doi.org/10.1080/10447318.2014.905422
Wong BKodagoda NRooney CAttfield SChoudhury T(2013)Trialling the SMART ApproachProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/154193121357104857:1(215-219)Online publication date: 30-Sep-2013
https://doi.org/10.1177/1541931213571048
Kodagoda NAttfield SWong BRooney CChoudhury S(2013)Using Interactive Visual Reasoning to Support Sense-MakingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2013.21119:12(2217-2226)Online publication date: 1-Dec-2013
https://dl.acm.org/doi/10.1109/TVCG.2013.211
Hienert DSawitzki FSchaer PMayr P(2012)Integrating interactive visualizations in the search process of digital libraries and IR systemsProceedings of the 34th European conference on Advances in Information Retrieval10.1007/978-3-642-28997-2_38(447-450)Online publication date: 1-Apr-2012
https://dl.acm.org/doi/10.1007/978-3-642-28997-2_38
Wong BChoudhury SRooney CChen RXu K(2011)INVISQUEProceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries10.5555/2042536.2042568(227-235)Online publication date: 26-Sep-2011
https://dl.acm.org/doi/10.5555/2042536.2042568
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INVISQUE: technology and methodologies for interactive information visualization and analytics in large library collections

Electronic resource discovery systems: from user behaviour to design

EncCon: an approach to constructing interactive visualization of large hierarchical data

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