Modeling human-agent interaction using bayesian network technique

Yukiko Nakano; Kazuyoshi Murata; Mika Enomoto; Yoshiko Arimoto; Yasuhiro Asa; Hirohiko Sagawa

doi:10.1007/978-3-540-78197-4_2

Modeling human-agent interaction using bayesian network technique

Yukiko Nakano, Kazuyoshi Murata, Mika Enomoto, Yoshiko Arimoto, Yasuhiro Asa, Hirohiko Sagawa

Department of Information Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Task manipulation is direct evidence of understanding, and speakers adjust their utterances that are in progress by monitoring listener's task manipulation. Aiming at developing animated agents that control multimodal instruction dialogues by monitoring users' task manipulation, this paper presents a probabilistic model of fine-grained timing dependencies among multimodal communication behaviors. Our preliminary evaluation demonstrated that our model quite accurately judges whether the user understand the agent's utterances and predicts user's successful mouse manipulation, suggesting that the model is useful in estimating user's understanding and can be applied to determining the next action of an agent.

Original language	English
Title of host publication	New Frontiers in Artificial Intelligence - JSAI 2007 Conference and Workshops, Revised Selected Papers
Pages	5-12
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-540-78197-4_2
Publication status	Published - 2008
Event	21st Annual Conference of The Japanese Society for Artificial Intelligence, JSAI 2007 - Miyazaki, Japan Duration: 2007 Jun 18 → 2007 Jun 22

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4914 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	21st Annual Conference of The Japanese Society for Artificial Intelligence, JSAI 2007
Country/Territory	Japan
City	Miyazaki
Period	07/6/18 → 07/6/22

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-78197-4_2

Cite this

Nakano, Y., Murata, K., Enomoto, M., Arimoto, Y., Asa, Y., & Sagawa, H. (2008). Modeling human-agent interaction using bayesian network technique. In New Frontiers in Artificial Intelligence - JSAI 2007 Conference and Workshops, Revised Selected Papers (pp. 5-12). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4914 LNAI). https://doi.org/10.1007/978-3-540-78197-4_2

Modeling human-agent interaction using bayesian network technique. / Nakano, Yukiko; Murata, Kazuyoshi; Enomoto, Mika et al.

New Frontiers in Artificial Intelligence - JSAI 2007 Conference and Workshops, Revised Selected Papers. 2008. p. 5-12 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4914 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nakano, Y, Murata, K, Enomoto, M, Arimoto, Y, Asa, Y & Sagawa, H 2008, Modeling human-agent interaction using bayesian network technique. in New Frontiers in Artificial Intelligence - JSAI 2007 Conference and Workshops, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4914 LNAI, pp. 5-12, 21st Annual Conference of The Japanese Society for Artificial Intelligence, JSAI 2007, Miyazaki, Japan, 07/6/18. https://doi.org/10.1007/978-3-540-78197-4_2

Nakano Y, Murata K, Enomoto M, Arimoto Y, Asa Y, Sagawa H. Modeling human-agent interaction using bayesian network technique. In New Frontiers in Artificial Intelligence - JSAI 2007 Conference and Workshops, Revised Selected Papers. 2008. p. 5-12. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-78197-4_2

Nakano, Yukiko ; Murata, Kazuyoshi ; Enomoto, Mika et al. / Modeling human-agent interaction using bayesian network technique. New Frontiers in Artificial Intelligence - JSAI 2007 Conference and Workshops, Revised Selected Papers. 2008. pp. 5-12 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Modeling human-agent interaction using bayesian network technique

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