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Te,Te,Hi,Hi: Eye Gaze Sequence Analysis for Informing User-Adaptive Information Visualizations

  • Conference paper
User Modeling, Adaptation, and Personalization (UMAP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8538))

Abstract

Information visualization systems have traditionally followed a one-size-fits-all paradigm with respect to their users, i.e., their design is seldom personalized to the specific characteristics of users (e.g. perceptual abilities) or their tasks (e.g. task difficulty). In view of creating information visualization systems that can adapt to each individual user and task, this paper provides an analysis of user eye gaze data aimed at identifying behavioral patterns that are specific to certain user and task groups. In particular, the paper leverages the sequential nature of user eye gaze patterns through differential sequence mining, and successfully identifies a number of pattern differences that could be leveraged by adaptive information visualization systems in order to automatically identify (and consequently adapt to) different user and task characteristics.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of British Columbia, 2366 Main Mall, Vancouver, BC, V6T1Z4, Canada

    Ben Steichen, Michael M. A. Wu, Dereck Toker, Cristina Conati & Giuseppe Carenini

Authors
  1. Ben Steichen
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  2. Michael M. A. Wu
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  3. Dereck Toker
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  4. Cristina Conati
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  5. Giuseppe Carenini
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Editor information

Editors and Affiliations

  1. School of Computing, University of Leeds, United Kingdom

    Vania Dimitrova

  2. University of Haifa, Israel

    Tsvi Kuflik

  3. Department of Information and Computer Sciences, University of Hawaii, 96822, Honolulu, HI, USA

    David Chin

  4. Free University of Bozen - Bolzano, Piazza Domenicani 3, 39100, Bolzano, Italy

    Francesco Ricci

  5. Department of Computer Science, Aalborg University, Selma Lagerlofs Vej, 300 9220, Aalborg-East, Denmark

    Peter Dolog

  6. EEMCS - Web Information Systems, 2600 GA, Delft, The Netherlands

    Geert-Jan Houben

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© 2014 Springer International Publishing Switzerland

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Steichen, B., Wu, M.M.A., Toker, D., Conati, C., Carenini, G. (2014). Te,Te,Hi,Hi: Eye Gaze Sequence Analysis for Informing User-Adaptive Information Visualizations. In: Dimitrova, V., Kuflik, T., Chin, D., Ricci, F., Dolog, P., Houben, GJ. (eds) User Modeling, Adaptation, and Personalization. UMAP 2014. Lecture Notes in Computer Science, vol 8538. Springer, Cham. https://doi.org/10.1007/978-3-319-08786-3_16

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  • DOI: https://doi.org/10.1007/978-3-319-08786-3_16

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08785-6

  • Online ISBN: 978-3-319-08786-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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