Neuromotor Behavior Laboratory, Department of Psychology and Sport Science, Justus Liebig University Giessen, Giessen, Germany.
Neuromotor Behavior Laboratory, Department of Psychology and Sport Science, Justus Liebig University Giessen, Giessen, Germany.
Cognition. 2022 Dec;229:105267. doi: 10.1016/j.cognition.2022.105267. Epub 2022 Sep 1.
Affective states can be understood as dynamic interpersonal processes developing over time and space. When we observe emotional interactions performed by other individuals, our visual system anticipates how the action will unfold. Thus, it has been proposed that the process of emotion perception is not only a simulative but also a predictive process - a phenomenon described as interpersonal predictive coding. The present study investigated whether the recognition of emotions from dyadic interactions depends on a fixed spatiotemporal coupling of the agents. We used an emotion recognition task to manipulate the actions of two interacting point-light figures by implementing different temporal offsets that delayed the onset of one of the agent's actions (+0 ms, +500 ms, +1000 ms or + 2000 ms). Participants had to determine both the subjective valence and the emotion category (happiness, anger, sadness, affection) of the interaction. Results showed that temporal decoupling had a critical effect on both emotion recognition and the subjective impression of valence intensity: Both measures decreased with increasing temporal offset. However, these effects were dependent on which emotion was displayed. Whereas affection and anger sequences were impacted by the temporal manipulation, happiness and sadness were not. To further investigate these effects, we conducted post-hoc exploratory analyses of interpersonal movement parameters. Our findings complement and extend previous evidence by showing that the complex, noncoincidental coordination of actions within dyadic interactions results in a meaningful movement pattern and might serve as a fundamental factor in both detecting and understanding complex actions during human interaction.
情感状态可以被理解为在时间和空间中发展的动态人际过程。当我们观察其他人的情感互动时,我们的视觉系统会预测动作将如何展开。因此,有人提出,情感感知的过程不仅是模拟的,也是预测的——这一现象被描述为人际预测编码。本研究调查了从二元互动中识别情绪是否取决于主体的固定时空耦合。我们使用情绪识别任务来操纵两个交互点光人物的动作,通过实施不同的时间偏移,延迟一个主体的动作的开始(+0ms、+500ms、+1000ms 或+2000ms)。参与者必须确定交互的主观效价和情绪类别(幸福、愤怒、悲伤、情感)。结果表明,时间解耦对情绪识别和主观效价强度的印象都有至关重要的影响:这两个衡量标准随着时间偏移的增加而降低。然而,这些影响取决于显示的情绪。虽然情感和愤怒序列受到时间操作的影响,但幸福和悲伤序列则没有。为了进一步研究这些影响,我们对人际运动参数进行了事后探索性分析。我们的发现补充并扩展了先前的证据,表明在二元互动中,动作的复杂、非巧合协调会产生有意义的运动模式,并可能成为在人类互动中检测和理解复杂动作的一个基本因素。