A Method for Estimating Whether a User is in Smooth Communication with an Interactive Agent in Human-Agent Interaction

Takanori Komatsu, Shoichiro Ohtsuka, Kazuhiro Ueda, Takashi Komeda, Natsuki Oka

研究成果: Chapter

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The purpose of this paper is to propose a criterion for evaluating whether users are in smooth communication with an interactive agent or not by means of cognitive, behavioral and physiological indexes of these users: To do so, we conducted an experiment to measure the above three indexes of subjects who experienced smooth interactions (Group 1) or disrupted interactions (Group 2) with an experimenter in a simple cooperating game. As a result, there were no significant differences in cognitive index (subjective report: NASA-TLX score) between two subject groups, while there were in behavioral (performance of subjects: game score) and physiological indexes (heart beat variability: RSA and MWSA). These results showed that the monitoring the behavioral and physiological indexes are available for evaluating their communication and leads to acquire a desired criterion for doing so.

元の言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
編集者Mircea Gh. Negoita, Robert J. Howlett, Lakhmi C. Jain
出版者Springer Verlag
ページ371-377
ページ数7
ISBN(印刷物)9783540301325
DOI
出版物ステータスPublished - 1 1 2004

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3213
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

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    Komatsu, T., Ohtsuka, S., Ueda, K., Komeda, T., & Oka, N. (2004). A Method for Estimating Whether a User is in Smooth Communication with an Interactive Agent in Human-Agent Interaction. : M. G. Negoita, R. J. Howlett, & L. C. Jain (版), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 371-377). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 3213). Springer Verlag. https://doi.org/10.1007/978-3-540-30132-5_54