面部表情
情感(语言学)
感知
唤醒
认知心理学
价(化学)
背景(考古学)
心理学
情绪识别
面部知觉
面子(社会学概念)
计算机科学
人工智能
沟通
社会心理学
社会学
神经科学
生物
物理
古生物学
量子力学
社会科学
作者
Zhimin Chen,David Whitney
标识
DOI:10.1073/pnas.1812250116
摘要
Emotion recognition is an essential human ability critical for social functioning. It is widely assumed that identifying facial expression is the key to this, and models of emotion recognition have mainly focused on facial and bodily features in static, unnatural conditions. We developed a method called affective tracking to reveal and quantify the enormous contribution of visual context to affect (valence and arousal) perception. When characters’ faces and bodies were masked in silent videos, viewers inferred the affect of the invisible characters successfully and in high agreement based solely on visual context. We further show that the context is not only sufficient but also necessary to accurately perceive human affect over time, as it provides a substantial and unique contribution beyond the information available from face and body. Our method (which we have made publicly available) reveals that emotion recognition is, at its heart, an issue of context as much as it is about faces.
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