Comprehension of users' subjective interaction states during their interaction with an artificial agent by means of heart rate variability index

Takanori Komatsu, Sho'ichiro Ohtsuka, Kazuhiro Ueda, Takashi Komeda

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

7 Citations (Scopus)

Abstract

The purpose of this study is to investigate whether users' subjective interaction states which indicate whether they feel comfortable interacting with artificial agents can be comprehended by means of biological index. As a biological index, we focused on the heart rate variability and used an RSA ratio for the time period when the respiratory sinus arrhythmia (RSA) value is higher than the Mayer wave sinus arrhythmia (MWSA) value divided by the total interaction period. To clarify the effectiveness of this RSA ratio, we conducted two experiments to measure this index among participants who played a simple cooperation game with an artificial agent, which either responded as the participant desired or responded randomly. The results showed that the RSA ratio determined the subjective interaction state which indicated whether they felt comfortable or uncomfortable with their interactions with the agents.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages266-277
Number of pages12
Volume4738 LNCS
Publication statusPublished - 2007
Event2nd International Conference on Affective Computing and Intelligent Interaction, ACII 2007 - Lisbon
Duration: 2007 Sep 122007 Sep 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4738 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Conference on Affective Computing and Intelligent Interaction, ACII 2007
CityLisbon
Period07/9/1207/9/14

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ASJC Scopus subject areas

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

Cite this

Komatsu, T., Ohtsuka, S., Ueda, K., & Komeda, T. (2007). Comprehension of users' subjective interaction states during their interaction with an artificial agent by means of heart rate variability index. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4738 LNCS, pp. 266-277). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4738 LNCS).