Attentive presentation agents

Tobias Eichner, Helmut Prendinger, Elisabeth André, Mitsuru Ishizuka

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

25 Citations (Scopus)

Abstract

The paper describes an infotainment application where life-like characters present two MP3 players in a virtual showroom. The key feature of the system is that the presenter agents analyze the user's gaze-behavior in real-time and may thus adapt the presentation flow accordingly. In particular, a user's (non-)interest in interface objects and also preference in decision situations is estimated automatically by just using eye gaze as input modality. A formal study was conducted that compared two versions of the application. Results indicate that attentive presentation agents support successful grounding of deictic agent gestures and natural gaze behavior.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages283-295
Number of pages13
Volume4722 LNCS
Publication statusPublished - 2007
Externally publishedYes
Event7th International Conference on Intelligent Virtual Agents, IVA 2007 - Paris
Duration: 2007 Sep 172007 Sep 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4722 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other7th International Conference on Intelligent Virtual Agents, IVA 2007
CityParis
Period07/9/1707/9/19

ASJC Scopus subject areas

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

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  • Cite this

    Eichner, T., Prendinger, H., André, E., & Ishizuka, M. (2007). Attentive presentation agents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4722 LNCS, pp. 283-295). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4722 LNCS).