非语言行为模式预测社会排斥引发的攻击。

Megan Quarmley, Zhibo Yang, Shahrukh Athar, Gregory Zelinksy, Dimitris Samaras, Johanna M Jarcho
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引用次数: 0

摘要

社会排斥后的同伴攻击是一种昂贵而普遍的问题,现有的治疗方法收效甚微。这可能是因为攻击是一个复杂的过程,受到当前注意力和觉醒状态的影响,这很难通过自我报告来衡量。因此,识别非语言行为的注意和唤醒指标,预测随后的攻击行为是至关重要的。我们使用支持向量机(svm)和眼睛注视时间和瞳孔反应特征,在积极和消极的基于同伴的社会互动中测量,来预测随后对相同同伴的攻击行为。我们发现,眼睛注视和瞳孔反应不仅能预测攻击行为,而且比包含参与者受到严厉父母教育或特质攻击信息的模型表现得更好。眼睛凝视和瞳孔反应模型的表现也与那些包含同伴声誉信息(例如同伴是拒绝还是接受)的模型一样好。这是第一个在社会互动中解码非语言的眼睛行为来预测社会排斥引发的攻击的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nonverbal Behavioral Patterns Predict Social Rejection Elicited Aggression.

Peer-based aggression following social rejection is a costly and prevalent problem for which existing treatments have had little success. This may be because aggression is a complex process influenced by current states of attention and arousal, which are difficult to measure on a moment to moment basis via self report. It is therefore crucial to identify nonverbal behavioral indices of attention and arousal that predict subsequent aggression. We used Support Vector Machines (SVMs) and eye gaze duration and pupillary response features, measured during positive and negative peer-based social interactions, to predict subsequent aggressive behavior towards those same peers. We found that eye gaze and pupillary reactivity not only predicted aggressive behavior, but performed better than models that included information about the participant's exposure to harsh parenting or trait aggression. Eye gaze and pupillary reactivity models also performed equally as well as those that included information about peer reputation (e.g. whether the peer was rejecting or accepting). This is the first study to decode nonverbal eye behavior during social interaction to predict social rejection-elicited aggression.

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