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  • 标题:Impression Preference Tendency Between a Cute Robot and a Cool Robot
  • 本地全文:下载
  • 作者:Wei-Fen HSIEH ; Eri SATO-SHIMOKAWARA ; Toru YAMAGUCHI
  • 期刊名称:知能と情報
  • 印刷版ISSN:1347-7986
  • 电子版ISSN:1881-7203
  • 出版年度:2020
  • 卷号:32
  • 期号:2
  • 页码:686-690
  • DOI:10.3156/jsoft.32.2_686
  • 出版社:Japan Society for Fuzzy Theory and Intelligent Informatics
  • 摘要:In human robot interaction (HRI), social robots are expected to equip with social skills to interact with people under diverse situations. The way human perceive robot is a crucial factor to influence the acceptability of robot. To investigate influential feature on robot behavior and understand human preference, this paper briefly presented robot impression analysis of cute and cool style greeting respectively. We modified the behavior on Pepper robot and recruited participants to evaluate the robot expression style. The results showed the relation between expression patterns and tendency which indicated a few groups of preference similarity in small sample analysis. Further classification of more impression preference group is highly anticipated. Undoubtedly, it is essential to personalize robot behavioral styles to satisfy individual necessity and maintain human robot communication.
  • 关键词:robot expression style;impression analysis;human-robot interaction
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