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Knowledge of individuals as a constraining factor in an integrative hierarchical predictive account of emotion identification and its deficits.

个人知识作为情绪识别及其缺陷的综合分层预测帐户的约束因素。

基本信息

批准号：
2453803
负责人：
金额：
--
依托单位：
University of Oxford
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2020
资助国家：
英国
起止时间：
2020 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2453803
关键词：
Knowledge individuals constraining factor integrative

项目摘要

The ability to identify others' emotional states is key to social interaction, with deficits in this ability causing impaired social functioning and distress. Decades of research into this ability anddeficits in it have focused on perceptual cues to emotion - in particular, facial expression - using isolated and anonymous perceptual stimuli. The extent to which we might draw upon other,conceptual, information when inferring emotion is not yet well understood. Specifically, no research to date has investigated the effect that knowledge of an individual might have on inferenceof their emotion. This is surprising, since we possess information about a number of individuating factors such as personality traits and culture that are likely to affect what individuals feel inresponse to particular situations, how rapidly their emotions change, and how they express emotions. The current research outlines and tests a predictive coding framework under which perceptual, contextual, temporal and person-related cues are drawn upon and integrated to infer emotion in those with typical and atypical emotion identification. Specifically, I hypothesise that emotional inference will vary as a function of induced beliefs about the target's traits, with this factor being integrated with other cues as suggested by the predictive coding framework, shown by manipulation of different factors' relative precision.

识别他人情绪状态的能力是社会交往的关键，这种能力的缺陷会导致社会功能受损和痛苦。几十年来，对这种能力及其缺陷的研究都集中在情绪的知觉线索上，特别是面部表情，使用孤立和匿名的知觉刺激。我们在推断情绪时，可能会在多大程度上利用其他概念性信息，这一点还没有得到很好的理解。具体来说，迄今为止还没有研究调查个人的知识可能对他们的情绪推理产生的影响。这是令人惊讶的，因为我们拥有许多个性化因素的信息，如个性特征和文化，这些因素可能会影响个人对特定情况的反应，他们的情绪变化有多快，以及他们如何表达情绪。目前的研究概述和测试的预测编码框架下，感知，上下文，时间和个人相关的线索，并结合起来，推断情绪在那些典型和非典型的情绪识别。具体而言，我假设情绪推理将作为诱导信念的功能而变化，目标的特质，与此因素被整合与其他线索所建议的预测编码框架，显示通过操纵不同的因素的相对精度。