Robust anger: Recognition of deteriorated dynamic bodily emotion expressions
Robust anger: Recognition of deteriorated dynamic bodily emotion expressions
复制标题
强烈的愤怒：识别恶化的动态身体情绪表达
作者：
V. Visch;M. Goudbeek;M. Mortillaro
在两项研究中，身体表情的愤怒识别的鲁棒性进行了测试。在第一项研究中，一个演员表达四种不同的情绪（愤怒，绝望，恐惧和喜悦）的视频记录进行了结构性操作，以图像损伤和身体分割。实验结果表明，愤怒识别对图像损伤和人体分割的鲁棒性优于其他情感。此外，研究表明，表达愤怒的手臂比表达其他情绪的手臂更容易被识别。第二项研究将脸部模糊作为身体表情的一个变量，结果表明它降低了准确的情绪识别，但更多的是对喜悦和绝望的识别，而不是对愤怒和恐惧的识别。综上所述，本文表明愤怒识别的鲁棒性在多层次恶化的身体表情。
In two studies, the robustness of anger recognition of bodily expressions is tested. In the first study, video recordings of an actor expressing four distinct emotions (anger, despair, fear, and joy) were structurally manipulated as to image impairment and body segmentation. The results show that anger recognition is more robust than other emotions to image impairment and to body segmentation. Moreover, the study showed that arms expressing anger were more robustly recognised than arms expressing other emotions. Study 2 added face blurring as a variable to the bodily expressions and showed that it decreased accurate emotion recognition—but more for recognition of joy and despair than for anger and fear. In sum, the paper indicates the robustness of anger recognition in multileveled deteriorated bodily expressions.