How to Approach Humans?-Strategies for Social Robots to Initiate Interaction-
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- Satake Satoru
- ATR Intelligent Robotics and Communication Laboratories
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- Kanda Takayuki
- ATR Intelligent Robotics and Communication Laboratories
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- Glas Dylan F.
- ATR Intelligent Robotics and Communication Laboratories
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- Imai Michita
- ATR Intelligent Robotics and Communication Laboratories Department of Information and Computer Science, Faculty of Science and Technology, Keio University
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- Ishiguro Hiroshi
- ATR Intelligent Robotics and Communication Laboratories Graduate School of Engineering, Osaka University
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- Hagita Norihiro
- ATR Intelligent Robotics and Communication Laboratories
Bibliographic Information
- Other Title
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- 対話ロボットの人間へのアプローチ方法―対話ロボットの対話開始に対する戦略―
- タイワ ロボット ノ ニンゲン エノ アプローチ ホウホウ タイワ ロボット ノ タイワ カイシ ニ タイスル センリャク
- —Strategies for Social Robots to Initiate Interaction—
- —対話ロボットの対話開始に対する戦略—
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Abstract
This paper proposes a model of approach behavior with which a robot can initiate conversation with people who are walking. We developed the model by learning from the failures in a simplistic approach behavior used in a real shopping mall. Sometimes people were unaware of the robot's presence, even when it spoke to them. Sometimes, people were not sure whether the robot was really trying to start a conversation, and they did not start talking with it even though they displayed interest. To prevent such failures, our model includes the following functions: predicting the walking behavior of people, choosing a target person, planning its approaching path, and nonverbally indicating its intention to initiate a conversation. The approach model was implemented and used in a real shopping mall. The field trial demonstrated that our model significantly improves the robot's performance in initiating conversations.
Journal
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- Journal of the Robotics Society of Japan
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Journal of the Robotics Society of Japan 28 (3), 327-337, 2010
The Robotics Society of Japan
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Details 詳細情報について
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- CRID
- 1390001204726696064
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- NII Article ID
- 10026090793
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- NII Book ID
- AN00141189
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- ISSN
- 18847145
- 02891824
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- NDL BIB ID
- 10664974
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed