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Towards a theory of affective mind: Computationally modeling the generativity of goal appraisal.

机译:迈向情感思维理论:通过计算机模拟目标评估的产生性。

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A cognitive theory of how humans evaluate the goodness or badness of situations is formulated and tested using data from human participants as well as computer modeling. A specific problem of cognitive appraisal theory, goal appraisal, is formulated: how do people cognitively evaluate a situation with respect to a focal goal in the context of assumed background goals? It is shown that cognitive appraisal theory may provide useful details of how humans form beliefs about others' emotions. In other words, cognitive appraisal theory is viewed as an affective theory of mind. Three studies are described. In Study 1, participants generated inferences about the emotions of others. Using these data, a theory of how these appraisals were formed was created. In Study 2, some of the postulates of the theory were empirically verified by asking a second group of participants to rate the believability of items created and manipulated on the basis of the theory. Theory predictions about believability were upheld. In Study 3, a computer model of the theory was created and tested using believability judgments of a third group of human participants. Results indicated that the computer model created affective evaluations that were, in most cases, as believable as human generated evaluations. Desired improvements to the model and the theory were inferred from data showing cases in which computer generated appraisals were not as believable as human generated appraisals. Implications for future research and practice of special relevance to individuals with autism are identified.
机译:使用来自人类参与者的数据以及计算机模型来制定和测试关于人类如何评估情况的好坏的认知理论。提出了认知评估理论的一个具体问题,即目标评估:人们如何在假定的背景目标的背景下,根据焦点目标在认知上评估情况?研究表明,认知评估理论可以提供有用的细节,说明人类如何形成对他人情绪的信念。换句话说,认知评估理论被视为一种情感情感理论。描述了三个研究。在研究1中,参与者对他人的情绪产生了推论。使用这些数据,创建了有关如何形成这些评估的理论。在研究2中,通过要求第二组参与者对在该理论基础上创建和操纵的商品的可信度进行了实验验证,从而验证了该理论的某些假设。坚持有关可信度的理论预测。在研究3中,使用第三组人类参与者的可信度判断创建并测试了该理论的计算机模型。结果表明,计算机模型创建了情感评估,在大多数情况下,这些评估与人类生成的评估一样可信。从表明计算机生成的评估不如人类生成的评估可信的情况下的数据推断出模型和理论的理想改进。确定了与自闭症患者特别相关的未来研究和实践的意义。

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