Recognizing Emotions on Static and Animated Avatar Faces

Sylvie Noël, S. Dumoulin, Thomas Whalen, John Stewart
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引用次数: 12

Abstract

Participants were shown static or animated versions of a FACS-compliant avatar face in the work of P. Ekman and W.V. Friesen (1978), and asked to identify the emotion that the face was displaying. In the first version of the face, happiness, sadness, and surprise were all recognized at high rates (80% or more) whatever the stimulus type, while anger and disgust had low recognition rates. The neutral face was not well recognized when viewed as a static image, but was recognized significantly more often when animated. In a second experiment, small changes made to "tweak" the neutral and angry faces were only partially successful. About half the people recognized the static angry face; far fewer recognized the animated version; and most people wrongly identified the neutral face, both in its static and its animated version. More surprisingly, the recognition rates for happiness, sadness and surprise dropped significantly during the second experiment, for both the static and the animated faces. This may be due to changes in the way the stimuli were presented between the first and the second experiment. These results suggest that people are sensitive to small, seemingly innocuous changes in the presentation of avatar faces
识别静态和动画Avatar脸上的情绪
研究人员向参与者展示了P. Ekman和W.V. Friesen(1978)作品中符合facs标准的虚拟面孔的静态或动画版本,并要求他们识别面部所显示的情绪。在第一个版本的脸中,无论刺激类型如何,快乐、悲伤和惊讶都有很高的识别率(80%或更多),而愤怒和厌恶的识别率很低。当观看静态图像时,中性的脸不能很好地识别出来,但在动画图像中被识别出来的频率要高得多。在第二个实验中,对中性和愤怒的脸进行微调只取得了部分成功。大约一半的人认出了静止的愤怒的脸;很少有人认出动画版;大多数人都错误地识别了静态和动画版本的中性脸。更令人惊讶的是,在第二个实验中,无论是静态面孔还是动态面孔,对快乐、悲伤和惊讶的识别率都显著下降。这可能是由于第一次和第二次实验之间刺激呈现方式的变化。这些结果表明,人们对虚拟形象中看似无害的微小变化很敏感
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