Towards User-Adaptive Information Visualization

Authors

  • Cristina Conati University of British Columbia
  • Giuseppe Carenini University of British Columbia
  • Dereck Toker University of British Columbia
  • Sébastien Lallé University of British Columbia

DOI:

https://doi.org/10.1609/aaai.v29i1.9775

Keywords:

Information Visualization, User modeling, Adaptive interface, Eye tracking

Abstract

This paper summarizes an ongoing multi-year project aiming to uncover knowledge and techniques for devising intelligent environments for user-adaptive visualizations. We ran three studies designed to investigate the impact of user and task characteristics on user performance and satisfaction in different visualization contexts. Eye-tracking data collected in each study was analyzed to uncover possible interactions between user/task characteristics and gaze behavior during visualization processing. Finally, we investigated user models that can assess user characteristics relevant for adaptation from eye tracking data.

Downloads

Published

2015-03-04

How to Cite

Conati, C., Carenini, G., Toker, D., & Lallé, S. (2015). Towards User-Adaptive Information Visualization. Proceedings of the AAAI Conference on Artificial Intelligence, 29(1). https://doi.org/10.1609/aaai.v29i1.9775