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Master
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Assessing the Component Process Model of Emotion using multivariate pattern classification analyses. A behavorial and psychophysiological study

Master program titleMaîtrise interdisciplinaire en neurosciences
Defense date2019
Abstract

Background: Understanding and description of emotion is a sophisticated object of study and challenges the development of predictive models that would be able to differentiate discrete emotions. In the framework of appraisal theories, the Component Process Model describes emotion phenomenon as a dynamic process with five major highly interrelated components: cognitive appraisal, expression, motivation, physiology and feeling (Scherer, 2005a; 1984a). First, the CPM postulates that the appraisal component outputs drive interdependent responses in the other components. Secondly, the CPM argues that a conscious emotional feeling arises from the synchronization of these components. Based on this functional architecture of the emotion process, the aim of this research was to investigate predictive relations between physiology and the four other main emotional components and, thereafter, attempt to predict emotions from multicomponent response patterns...

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Citation (ISO format)
MENÉTREY, Maëlan Quentin. Assessing the Component Process Model of Emotion using multivariate pattern classification analyses. A behavorial and psychophysiological study. 2019.
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Master thesis
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Identifiers
  • PID : unige:114477
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Creation02/20/2019 11:00:00 AM
First validation02/20/2019 11:00:00 AM
Update time03/15/2023 3:46:47 PM
Status update03/15/2023 3:46:46 PM
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