Effectiveness of Intrinsically Motivated Adaptive Agent for Sustainable Human-Agent Interaction

Authors:
Takayuki Nozawa;Toshiyuki Kondo
Affiliations:
Tokyo University of Agriculture and Technology, Tokyo, Japan 184-8588;Tokyo University of Agriculture and Technology, Tokyo, Japan 184-8588
Venue:
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Year:
2009

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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.