skip to main content
10.1145/3025171.3025226acmconferencesArticle/Chapter ViewAbstractPublication PagesiuiConference Proceedingsconference-collections
research-article

Inline Co-Evolution between Users and Information Presentation for Data Exploration

Published: 07 March 2017 Publication History

Abstract

This paper presents an intelligent user interface model dedicated to the exploration of complex databases. This model is implemented on a 3D metaphor: a virtual museum. In this metaphor, the database elements are embodied as museum objects. The objects are grouped in rooms according to their semantic properties and relationships and the rooms organization forms the museum. Rooms? organization is not predefined but defined incrementally by taking into account not only the relationships between objects, but also the user's centers of interest. The latter are evaluated in real-time through user interactions within the virtual museum. This interface allows for a personal reading and favors the discovery of unsuspected links between data. In this paper, we present our model's formalization as well as its application to the context of cultural heritage.

References

[1]
Card, S., Robertson, G., and York, W. The webbook and the web forager : an information workspace for the world-wide web. Proceedings of the Conference on Human factors in Computing Systems (CHI'96) (1996).
[2]
Cho, I., Dou, W., Wang, D. X., Sauda, E., and Ribarsky, W. Vairoma : a visual analytics system for making sense of places, times, and events in roman history. IEEE transactions on visualization and computer graphics 22, 1 (2016), 210--219.
[3]
di Sciascio, C., Sabol, V., and Veas, E. E. Rank as you go : User-driven exploration of search results. In Proceedings of the 21st International Conference on Intelligent User Interfaces, ACM (2016), 118--129.
[4]
Heer, J., and Card, S. K. Doitrees revisited : scalable, space-constrained visualization of hierarchical data. In Proceedings of the working conference on Advanced visual interfaces, ACM (2004), 421-424.
[5]
Jankun-Kelly, T., and Ma, K.-L. Moiregraphs : Radial focus+ context visualization and interaction for graphs with visual nodes. In Information Visualization, 2003. INFOVIS 2003. IEEE Symposium On, IEEE (2003), 59-66.
[6]
Lenzmann, B., and Wachsmuth, I. A user-adaptive interface agency for interaction with a virtual environment. In Adaption and Learning in Multi-Agent Systems, IJCAI'95 Workshop, Montréal, Canada, August 21, 1995, Proceedings (1995), 140--151.
[7]
Lenzmann, B., Wachsmuth, I., and Cao, Y. An intelligent interface for a virtual environment. KI-NRW (Applications of Artificial Intelligence in North-Rine Westphalia) Report (1995), 95--01.
[8]
Li, L., Yang, Z., Wang, B., and Kitsuregawa, M. Dynamic adaptation strategies for long-term and short-term user profile to personalize search. In Advances in Data and Web Management. Springer, 2007, 228--240.
[9]
Mezhoudi, N. User interface adaptation based on user feedback and machine learning. In Proceedings of the companion publication of the 2013 international conference on Intelligent user interfaces companion, ACM (2013), 25--28.
[10]
Paterno, F., and Mancini, C. Effective levels of adaptation to different types of users in interactive museum systems. Journal of the American Society for Information Science 51, 1 (2000), 5--13.
[11]
Rajaonarivo, L., Maisel, E., and De Loor, P. An enactive based realtime 3D self-organization system for the exploration of a cultural heritage data base. In 20th International Conference Information Visualisation (Lisbonne, 2016), 100-105.
[12]
Sparacino, F. City of news. ACM SIGGRAPH'99 Conference abstracts and applications (1999).
[13]
Varela, F. J., Thompson, E., and Rosch, E. The Embodied Mind. MIT Press, 1993.
[14]
Weick, K. E. Sensemaking in Organizations. Sage Publication, 1995.
[15]
Wise, J. The ecological approach to text visualization.
[16]
Yang, J., Ward, M. O., and Rundensteiner, E. A. Interring : An interactive tool for visually navigating and manipulating hierarchical structures. In Information Visualization, 2002. INFOVIS 2002. IEEE Symposium On, IEEE (2002), 77--84. 17. Young, P. 3d software visualization - visualization and representation. internal Report, University of Durham, Visualization Research Group (1997).

Cited By

View all
  • (2021)Designing Deep Reinforcement Learning for Human Parameter ExplorationACM Transactions on Computer-Human Interaction10.1145/341447228:1(1-35)Online publication date: 20-Jan-2021
  • (2019)Visualization of Cultural Heritage Collection Data: State of the Art and Future ChallengesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.283075925:6(2311-2330)Online publication date: 1-Jun-2019

Index Terms

  1. Inline Co-Evolution between Users and Information Presentation for Data Exploration

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    IUI '17: Proceedings of the 22nd International Conference on Intelligent User Interfaces
    March 2017
    654 pages
    ISBN:9781450343480
    DOI:10.1145/3025171
    © 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 07 March 2017

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. cultural heritage
    2. database exploration
    3. real-time adaptation
    4. user interface
    5. visual metaphor

    Qualifiers

    • Research-article

    Funding Sources

    • L'Agence nationale de la recherche

    Conference

    IUI'17
    Sponsor:

    Acceptance Rates

    IUI '17 Paper Acceptance Rate 63 of 272 submissions, 23%;
    Overall Acceptance Rate 746 of 2,811 submissions, 27%

    Upcoming Conference

    IUI '25

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)10
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 20 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2021)Designing Deep Reinforcement Learning for Human Parameter ExplorationACM Transactions on Computer-Human Interaction10.1145/341447228:1(1-35)Online publication date: 20-Jan-2021
    • (2019)Visualization of Cultural Heritage Collection Data: State of the Art and Future ChallengesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.283075925:6(2311-2330)Online publication date: 1-Jun-2019

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media