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首页> 外文会议>International Conference on Affective Computing and Intelligent Interaction(ACII 2007); 20070912-14; Lisbon(PT) >Towards Knowledge-Based Affective Interaction: Situational Interpretation of Affect
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Towards Knowledge-Based Affective Interaction: Situational Interpretation of Affect

机译：迈向基于知识的情感互动：情感的情境解释

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摘要

Human-to-computer interaction in a variety of applications could benefit if systems could accurately analyze and respond to their users' affect. Although a great deal of research has been conducted on affect recognition, very little of this work has considered what is the appropriate information to extract in specific situations. Towards understanding how specific applications such as affective tutoring and affective entertainment could benefit, we present two experiments. In the first experiment, we found that students' facial expressions, together with their body actions, gave little information about their internal emotion per se but they would be useful features for predicting their self-reported "true" mental state. In the second experiment, we found significant differences between the facial expressions and self-reported affective state of viewers watching a movie sequence. Our results suggest that the noisy relationship between observable gestures and underlying affect must be accounted for when designing affective computing applications.
机译：如果系统可以准确地分析并响应用户的影响，则在各种应用程序中的人机交互将受益。尽管已进行了大量有关情感识别的研究，但这项工作很少考虑在特定情况下要提取的适当信息。为了理解诸如情感辅导和情感娱乐之类的特定应用如何受益，我们提出了两个实验。在第一个实验中，我们发现学生的面部表情以及他们的身体行为，几乎没有提供有关他们内在情绪的信息，但是它们对于预测自我报告的“真实”心理状态很有用。在第二个实验中，我们发现观看电影序列的观众的面部表情和自我报告的情感状态之间存在显着差异。我们的结果表明，在设计情感计算应用程序时，必须考虑到可观察手势与潜在情感之间的嘈杂关系。

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