Effectiveness of intrinsically motivated adaptive agent for sustainable human-agent interaction

Takayuki Nozawa; Toshiyuki Kondo

doi:10.1007/978-3-642-10684-2_20

Effectiveness of intrinsically motivated adaptive agent for sustainable human-agent interaction

Takayuki Nozawa^*, Toshiyuki Kondo

^*Corresponding author for this work

Intellectual Information Engineering

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

1 Scopus citations

Abstract

To achieve sustainable human-agent interaction (HAI), we proposed a new model of intrinsically motivated adaptive agent, which learns about the human partner and behaves to satisfy its intrinsic motivation. To investigate the model's effectiveness, we conducted a comparative HAI experiment with a simple interaction setting. The results showed that the model was effective in inducing subjective impressions of higher enjoyability and sustainability. The subjects' brain activity measured by near-infrared spectroscopy (NIRS) indicated higher variability of activity at left dorsolateral prefrontal cortex during the interaction with the proposed agent.

Original language	English
Title of host publication	Neural Information Processing - 16th International Conference, ICONIP 2009, Proceedings
Pages	179-188
Number of pages	10
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-10684-2_20
State	Published - 2009
Event	16th International Conference on Neural Information Processing, ICONIP 2009 - Bangkok, Thailand Duration: 2009/12/01 → 2009/12/05

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5864 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Neural Information Processing, ICONIP 2009
Country/Territory	Thailand
City	Bangkok
Period	2009/12/01 → 2009/12/05

Keywords

Adaptive agent
Human-agent interaction (HAI)
Intrinsic motivation
Near-infrared spectroscopy (NIRS)
Reinforcement learning

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-10684-2_20

Cite this

Nozawa, T., & Kondo, T. (2009). Effectiveness of intrinsically motivated adaptive agent for sustainable human-agent interaction. In Neural Information Processing - 16th International Conference, ICONIP 2009, Proceedings (PART 2 ed., pp. 179-188). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5864 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-10684-2_20

Nozawa, Takayuki ; Kondo, Toshiyuki. / Effectiveness of intrinsically motivated adaptive agent for sustainable human-agent interaction. Neural Information Processing - 16th International Conference, ICONIP 2009, Proceedings. PART 2. ed. 2009. pp. 179-188 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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abstract = "To achieve sustainable human-agent interaction (HAI), we proposed a new model of intrinsically motivated adaptive agent, which learns about the human partner and behaves to satisfy its intrinsic motivation. To investigate the model's effectiveness, we conducted a comparative HAI experiment with a simple interaction setting. The results showed that the model was effective in inducing subjective impressions of higher enjoyability and sustainability. The subjects' brain activity measured by near-infrared spectroscopy (NIRS) indicated higher variability of activity at left dorsolateral prefrontal cortex during the interaction with the proposed agent.",

keywords = "Adaptive agent, Human-agent interaction (HAI), Intrinsic motivation, Near-infrared spectroscopy (NIRS), Reinforcement learning",

author = "Takayuki Nozawa and Toshiyuki Kondo",

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Nozawa, T & Kondo, T 2009, Effectiveness of intrinsically motivated adaptive agent for sustainable human-agent interaction. in Neural Information Processing - 16th International Conference, ICONIP 2009, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5864 LNCS, pp. 179-188, 16th International Conference on Neural Information Processing, ICONIP 2009, Bangkok, Thailand, 2009/12/01. https://doi.org/10.1007/978-3-642-10684-2_20

Effectiveness of intrinsically motivated adaptive agent for sustainable human-agent interaction. / Nozawa, Takayuki; Kondo, Toshiyuki.
Neural Information Processing - 16th International Conference, ICONIP 2009, Proceedings. PART 2. ed. 2009. p. 179-188 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5864 LNCS, No. PART 2).

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

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Nozawa T, Kondo T. Effectiveness of intrinsically motivated adaptive agent for sustainable human-agent interaction. In Neural Information Processing - 16th International Conference, ICONIP 2009, Proceedings. PART 2 ed. 2009. p. 179-188. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-10684-2_20

Effectiveness of intrinsically motivated adaptive agent for sustainable human-agent interaction

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Conference

Keywords

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