融洽和面部表情

Ning Wang, J. Gratch
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引用次数: 32

摘要

如何建立与人类建立融洽关系的虚拟代理?根据Tickle-Degnen和Rosenthal的说法,融洽关系的三个基本组成部分是相互关注、积极和协调。在我们之前的工作中,我们设计了一个具体化的虚拟代理,通过提供快速和偶然的非语言反馈[13]b[22]来与人类说话者建立融洽的关系。我们怎么知道说话的人是否有一种融洽的感觉呢?本文通过研究说话人面部表情对人际关系建立的影响,着重探讨人际关系的积极成分。我们使用了一个名为CERT的面部表情自动编码工具来分析人与人之间的互动和人与虚拟的互动。结果表明,仅仅识别积极的面部表情可能是不够的,而识别消极的面部表情在评估参与者之间的融洽程度方面更具诊断性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapport and facial expression
How to build virtual agents that establish rapport with human? According to Tickle-Degnen and Rosenthal [4], the three essential components of rapport are mutual attentiveness, positivity and coordination. In our previous work, we designed an embodied virtual agent to establish rapport with a human speaker by providing rapid and contingent nonverbal feedback [13] [22]. How do we know that a human speaker is feeling a sense of rapport? In this paper, we focus on the positivity component of rapport by investigating the relationship of human speakers' facial expressions on the establishment of rapport. We used an automatic facial expression coding tool called CERT to analyze the human dyad interactions and human-virtual human interactions. Results show that recognizing positive facial displays alone may be insufficient and that recognized negative facial displays was more diagnostic in assessing the level of rapport between participants.
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