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Causal-Modelling of Personality Traits: Extraversion and Locus of Control

机译:人格特征的因果模型:外向性和控制源

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This work contributes to the task of automatically analyzing people's personality during social interaction by using acoustic and visual features. We focus on two personality traits: Extraversion, one of the Big Five dimensions, and the Locus of Control and submit them to two causal Bayesian models that differ according to whether they incorporate the effect of the context (other people's behaviour) on the target's behaviour. The experiment performed shows that for the Extraversion trait the causal model whereby the target's behaviour is affected by both his/her personality and the parties behaviour performs much better than the simpler one that only considers the relationships between personality and the target's behaviour. Nothing similar is found for the Locus of Control, confirming psychology studies that maintain that the latter trait's behavioural manifestation is verbal rather than non-verbal.
机译:这项工作有助于通过使用声音和视觉功能在社交互动过程中自动分析人们的个性的任务。我们专注于两个人格特质:外向性(五个维度之一)和控制源,并将它们提交给两个因果贝叶斯模型,这些模型根据是否将上下文(其他人的行为)对目标行为的影响纳入考虑而有所不同。进行的实验表明,对于外向型特质,因果模型使目标的行为受其性格和当事人行为的影响,而与单纯考虑个性与目标行为之间的关系的简单行为相比,目标模型的表现要好得多。控制源没有发现相似之处,这证实了心理学研究的坚持,即后者的行为表现是语言而非语言的表现。

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