論文

査読有り
2010年

Conversational Attitude-aware Behavioral Design for Robot Assistant Combined with Video Communication

4TH ACM INTERNATIONAL WORKSHOP ON CONTEXT-AWARENESS FOR SELF-MANAGING SYSTEMS (CASEMANS 2010)
  • Tomoko Yonezawa
  • ,
  • Hirotake Yamazoe
  • ,
  • Yuichi Koyama
  • ,
  • Shinji Abe
  • ,
  • Kenji Mase

開始ページ
1
終了ページ
10
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
出版者・発行元
ASSOC COMPUTING MACHINERY

This paper proposes a videophone conversation support system by the behaviors of a companion robot and the switching of camera images in coordination with the user's conversational attitude toward the communication. In order to maintain a conversation and to achieve comfortable communication, it is necessary to understand a user's conversational states, which are whether the user is talking (taking the initiative) and whether the user is concentrating on the conversation. First, a) the system estimates the user's conversational state by a machine learning method. Next, b-1) the robot appropriately expresses its active listening behaviors, such as nodding and gaze turns, to compensate for the listener's attitude when she/he is not really listening to another user's speech, b-2) the robot shows communication-evoking behaviors (topic provision) to compensate for the lack of a topic, and b-3) the system switches the camera images to create an illusion of eye-contact corresponding to the current context of the user's attitude. From empirical studies, a detailed experiment, and a demonstration experiment, i) both the robot's active listening behaviors and the switching of the camera image compensate for the other person's attitude, ii) the topic provision function is effective for awkward silences, and iii) elderly people prefer long intervals between the robot's behaviors.

リンク情報
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000397264000001&DestApp=WOS_CPL
ID情報
  • Web of Science ID : WOS:000397264000001

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