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

被引：0
|
作者：
Nozawa, Takayuki [1 ]
Kondo, Toshiyuki [1 ]
机构：
[1] Tokyo Univ Agr & Technol, Koganei, Tokyo 1848588, Japan
来源：
NEURAL INFORMATION PROCESSING, PT 2, PROCEEDINGS | 2009年 / 5864卷
关键词：
Human-agent interaction (HAI); intrinsic motivation; adaptive agent; reinforcement learning; near-infrared spectroscopy (NIRS);
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：179 / 188
页数：10
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