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  • 标题:Culture and Social Relationship as Factors of Affecting Communicative Non-verbal Behaviors
  • 本地全文:下载
  • 作者:Afia Akhter Lipi ; Yukiko Nakano ; Mathias Rehm
  • 期刊名称:人工知能学会論文誌
  • 印刷版ISSN:1346-0714
  • 电子版ISSN:1346-8030
  • 出版年度:2010
  • 卷号:25
  • 期号:6
  • 页码:712-722
  • DOI:10.1527/tjsai.25.712
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:The goal of this paper is to link a bridge between social relationship and cultural variation to predict conversants' non-verbal behaviors. This idea serves as a basis of establishing a parameter based socio-cultural model, which determines non-verbal expressive parameters that specify the shapes of agent's nonverbal behaviors in HAI. As the first step, a comparative corpus analysis is done for two cultures in two specific social relationships. Next, by integrating the cultural and social parameters factors with the empirical data from corpus analysis, we establish a model that predicts posture. The predictions from our model successfully demonstrate that both cultural background and social relationship moderate communicative non-verbal behaviors.
  • 关键词:social and cultural characteristics ; posture ; socio-cultural model
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