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A dynamical systems interpretation of a dimensional model of emotion

Identifieur interne : 000208 ( Main/Exploration ); précédent : 000207; suivant : 000209

A dynamical systems interpretation of a dimensional model of emotion

Auteurs : Meredith Faith [États-Unis] ; Julian F. Thayer [États-Unis]

Source :

RBID : ISTEX:B4284C8350C3C29AD23D209B99C96F9135EE5DA7

English descriptors

Abstract

The dimensional structure of emotion was investigated using self reports of induced mood and idiographic and nomothetic analyses. Subjects attended four experimental sessions during which an array of affective states was induced via auditory, visual, and imaginal channels. For each of 118 stimulus events, subjects self‐rated their response. Factor analysis yielded the predicted bipolar factors of valence and arousal: these were obtained in group‐aggregated analysis and subsequently confirmed as change dimensions at the intraindividual level. Controversy over the fundamental dimensions of affective space was considered with respect to methodological issues such as factor rotation and sampling of data space. Valence and arousal are discussed as motivational, driving parameters of affective experience and a dynamical systems conceptualization of emotion is proposed.

Url:
DOI: 10.1111/1467-9450.00221


Affiliations:


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Le document en format XML

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<div type="abstract" xml:lang="en">The dimensional structure of emotion was investigated using self reports of induced mood and idiographic and nomothetic analyses. Subjects attended four experimental sessions during which an array of affective states was induced via auditory, visual, and imaginal channels. For each of 118 stimulus events, subjects self‐rated their response. Factor analysis yielded the predicted bipolar factors of valence and arousal: these were obtained in group‐aggregated analysis and subsequently confirmed as change dimensions at the intraindividual level. Controversy over the fundamental dimensions of affective space was considered with respect to methodological issues such as factor rotation and sampling of data space. Valence and arousal are discussed as motivational, driving parameters of affective experience and a dynamical systems conceptualization of emotion is proposed.</div>
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