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Making sense of social interaction: Emotional coherence drives semantic integration as assessed by event-related potentials

机译:赋予社会互动感:情感一致性推动由事件相关潜力评估的语义集成

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We compared event-related potentials during sentence reading, using impression formation equations of a model of affective coherence, to investigate the role of affective content processing during meaning making. The model of Affect Control Theory (ACT; Heise, 1979, 2007) predicts and quantifies the degree to which social interactions deflect from prevailing social norms and values - based on the affective meanings of involved concepts. We tested whether this model can predict the amplitude of brain waves traditionally associated with semantic processing. To this end, we visually presented sentences describing basic subject-verb-object social interactions and measured event-related potentials for final words of sentences from three different conditions of affective deflection (low, medium, high) as computed by a variant of the ACT model (Schroder, 2011). Sentence stimuli were closely controlled across conditions for alternate semantic dimensions such as contextual constraints, doze probabilities, co-occurrences of subject-object and verb-object relations. Personality characteristics (schizotypy, Big Five) were assessed to account for individual differences, assumed to influence emotion-language interactions in information processing. Affective deflection provoked increased negativity of ERP waves during the P2/N2 and N400 components. Our data suggest that affective incoherence is perceived as conflicting information interfering with early semantic processing and that increased respective processing demands - in particular in the case of medium violations of social norms - linger on until the N400 time window classically associated with the integration of concepts into embedding context. We conclude from these results that affective meanings influence basic stages of meaning making.
机译:我们在句子中比较了与事件相关的电位,利用情感相干模型的印象形成方程来研究情感内容处理在意义制作中的作用。影响控制理论的模型(法案; Heise,1979,2007)预测和量化了社会互动偏离普遍社会规范和价值观的程度 - 基于涉及概念的情感含义。我们测试了该模型是否可以预测传统上与语义处理相关的脑波的幅度。为此,我们视觉上呈现了描述基本主题 - 动词对象社交交互和测量的事件相关的潜在,以从行动的变种计算的情感偏转(低,中,高)的三种不同条件的句子的最终词汇型号(Schroder,2011)。句子刺激在越替代语义尺寸(如上下文限制,打破概率,对象对象和动词对象关系)的条件下密切控制。评估人格特征(舍利特型,大五),以考虑个人差异,以影响信息处理中的情感语言互动。情感偏转在P2 / N2和N400组件期间激发了ERP波的消极性增加。我们的数据表明,情感不一致被认为被视为干扰早期语义处理的冲突信息,并且增加了各自的处理需求 - 特别是在中等侵犯社会规范的情况下 - 徘徊在与概念的整合相关的N400时间窗口之前嵌入上下文。我们从这些结果中得出结论,情感意义会影响意义的基本阶段。

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