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Perception of emotion from interactive body movement: influence of emotion congruency

机译:互动身体动作对情感的感知:情感一致性的影响

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??INTRODUCTION: Most studies on the perception of emotional body language have focused on emotion expressed by individuals. However, a large part of the emotions relevant in everyday life occur in interactive situations, involving multiple individuals. We started to study such movements systematically exploiting motion-capture and methods from computer graphics that, opposed to video recordings of real scenes, provide an exact control of the stimulus properties. We investigated how the congruency of the emotions expressed by two interacting partners influences the perceived emotional expressiveness. METHODS: Visual stimuli showed computer animations based on a motion-captured scene, where one actor (A) approached another actor (B) from behind, and tapped him on his shoulder in different emotions following mood induction. We created stimuli from different actors (A) expressing anger or no emotion. The reaction of the second actor (B) was manipulated by replacing the original reaction by the corresponding action in different moods. Additionally, we created stimuli without any reaction of (B), showing (A) alone. Participants rated the angriness of (A) on a Likert-Scale ranging from 1 "not angry" to 5 "extraordinarily angry". They were explicitly asked to ignore the reaction of (B) in the scene. RESULTS: The emotion of the target character (A) was reliably recognized. In addition, we found a profound influence of the emotion expressed by the second character (B) in the scene on the participantsa?? ratings (ANOVA a??Reactiona?? F(3,42)=14.98, p0.001, a??Emotiona?? F(1,14)=89.16, p0.001). The strongest angriness rating for (A) was observed if (B) reacted angrily as well, irrespective whether (A) was neutral or angry. CONCLUSIONS: These results are compatible with an interpretation in terms of social context that has a strong influence on the perception of affect. Future experiments might reveal whether this influence is limited to negative emotions or does also apply to positive affects as happiness.
机译:引言:大多数关于情感肢体语言感知的研究都集中在个人表达的情感上。但是,与日常生活息息相关的大部分情绪都发生在互动情况中,涉及多个人。我们开始利用计算机图形学中的运动捕捉和方法来系统地研究这种运动,这种运动与真实场景的视频记录相反,可以对刺激特性进行精确控制。我们调查了两个相互作用的伙伴表达的情感的一致性如何影响感知的情感表达能力。方法:视觉刺激显示了基于动作捕捉场景的计算机动画,其中一个演员(A)从后面接近另一个演员(B),并在诱发情绪后以不同的情感拍打他的肩膀。我们从不同的演员(A)产生了表达愤怒或不表达情感的刺激。第二演员(B)的反应是通过在不同的情绪中用相应的动作代替原始反应来进行的。此外,我们创建的刺激没有(B)的任何反应,仅显示(A)。参与者用李克特量表对(A)的愤怒程度进行了分级,范围从1“不生气”到5“非常生气”。明确要求他们忽略场景中(B)的反应。结果:目标角色(A)的情绪得到了可靠的识别。此外,我们发现场景中第二个角色(B)所表达的情感对参与者产生了深远的影响。评级(方差分析a ?? Reactiona ?? F(3,42)= 14.98,p <0.001,a ?? Emotiona ?? F(1,14)= 89.16,p <0.001)。如果(B)也愤怒地反应,则观察到(A)的最强愤怒等级,而与(A)是中立还是生气无关。结论:这些结果与对社会背景的解释是相容的,该社会背景对情感的感知有很大的影响。未来的实验可能会揭示这种影响是否仅限于负面情绪,或者是否也适用于作为幸福的正面情绪。

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