Constructivist theories of emotions and empirical studies have been increasingly stressing the role of contextual information and cultural conventions in emotion recognition. We propose a new account of emotion recognition and attribution that systematically integrates these aspects, and argue that emotion recognition is part of the general process of person impression formation. To describe the structural organization and the role of background information in emotion recognition and attribution, we introduce situation models and personal models. These models constitute the top‐level structures in a complex hierarchy of dimensions which considers different types of basic emotion cues. Thus, we propose a multidimensional account of emotion recognition which enables us to integrate the top‐down and bottom‐up processes involved: basic emotion cues in certain contexts can trigger situation models and person models, which influence emotion recognition which, in turn, reinforce or modify these models. We argue that this kind of loop deeply affects the way emotions enter our social interactions. Our account is in line with the “normative turn” of social cognition, that stresses the way social expectations actively shape the patterns we recognize, and make, in our social world.

中文翻译：

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我希望你快乐，所以我看到你微笑：情感归因的多维解释


情感的建构主义理论和实证研究越来越强调情境信息和文化习俗在情感识别中的作用。我们提出了一种关于情绪识别和归因的新解释，系统地整合了这些方面，并认为情绪识别是人印象形成的一般过程的一部分。为了描述结构组织和背景信息在情绪识别和归因中的作用，我们引入情境模型和个人模型。这些模型构成了复杂维度层次结构中的顶层结构，考虑了不同类型的基本情感线索。因此，我们提出了情感识别的多维解释，使我们能够整合所涉及的自上而下和自下而上的过程：某些上下文中的基本情感线索可以触发情境模型和人物模型，从而影响情感识别，进而强化情感识别。或修改这些模型。我们认为，这种循环深刻影响着情绪进入我们社交互动的方式。我们的解释符合社会认知的“规范转向”，即强调社会期望积极塑造我们在社会世界中认识和制定的模式的方式。