Recognizing, modeling, and responding to users' affective states

Helmut Prendinger, Junichiro Mori, Mitsuru Ishizuka

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

24 Citations (Scopus)

Abstract

We describe a system that recognizes physiological data of users in real-time, interprets this information as affective states, and responds to affect by employing an animated agent. The agent assumes the role of an Empathic Companion in a virtual job interview scenario where it accompanies a human interviewee. While previously obtained results with the companion with were not significant, the analysis reported here demonstrates that empathic feedback of an agent may reduce user arousal while hearing interviewer questions. This outcome may prove useful for educational systems or applications that induce user stress.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages60-69
Number of pages10
Volume3538 LNAI
Publication statusPublished - 2005
Externally publishedYes
Event10th International Conference on User Modeling 2005, UM 2005 - Edinburgh, Scotland
Duration: 2005 Jul 242005 Jul 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3538 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other10th International Conference on User Modeling 2005, UM 2005
CityEdinburgh, Scotland
Period05/7/2405/7/29

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ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Prendinger, H., Mori, J., & Ishizuka, M. (2005). Recognizing, modeling, and responding to users' affective states. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3538 LNAI, pp. 60-69). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3538 LNAI).