Investigating the utility of eye-tracking information on affect and reasoning for user modeling

Kasia Muldner, Robert Christopherson, Robert Atkinson, Winslow Burleson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Scopus citations

Abstract

We investigate the utility of an eye tracker for providing information on users' affect and reasoning. To do so, we conducted a user study, results from which show that users' pupillary responses differ significantly between positive and negative affective states. As far as reasoning is concerned, while our analysis shows that larger pupil size is associated with more constructive reasoning events, it also suggests that to disambiguate between different kinds of reasoning, additional information may be needed. Our results show that pupillary response is a promising non-invasive avenue for increasing user model bandwidth.

Original languageEnglish (US)
Title of host publicationUser Modeling, Adaptation, and Personalization - 17th International Conference, UMAP 2009 formerly UM and AH, Proceedings
Pages138-149
Number of pages12
DOIs
StatePublished - Oct 15 2009
Event17th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2009 - Trento, Italy
Duration: Jun 22 2009Jun 26 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5535 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2009
CountryItaly
CityTrento
Period6/22/096/26/09

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Muldner, K., Christopherson, R., Atkinson, R., & Burleson, W. (2009). Investigating the utility of eye-tracking information on affect and reasoning for user modeling. In User Modeling, Adaptation, and Personalization - 17th International Conference, UMAP 2009 formerly UM and AH, Proceedings (pp. 138-149). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5535 LNCS). https://doi.org/10.1007/978-3-642-02247-0_15