Towards User-Adaptive Information Visualization

Cristina Conati, Giuseppe Carenini, Dereck Toker, Sébastien Lallé

AAAI 2015 pp. 4100-4106

doi:10.1609/AAAI.V29I1.9775 /aaai/2015/conati2015aaai-user/

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.

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Text

Conati et al. "Towards User-Adaptive Information Visualization." AAAI Conference on Artificial Intelligence, 2015. doi:10.1609/AAAI.V29I1.9775

Markdown

[Conati et al. "Towards User-Adaptive Information Visualization." AAAI Conference on Artificial Intelligence, 2015.](https://mlanthology.org/aaai/2015/conati2015aaai-user/) doi:10.1609/AAAI.V29I1.9775

BibTeX

@inproceedings{conati2015aaai-user,
  title     = {{Towards User-Adaptive Information Visualization}},
  author    = {Conati, Cristina and Carenini, Giuseppe and Toker, Dereck and Lallé, Sébastien},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2015},
  pages     = {4100-4106},
  doi       = {10.1609/AAAI.V29I1.9775},
  url       = {https://mlanthology.org/aaai/2015/conati2015aaai-user/}
}