Die Messung von Emotionserkennung mittels Computer-Morphing

Zusammenfassung

Viele Patienten mit psychischen oder neurologischen Störungen haben Defizite in der Fähigkeit, Emotionen im Gesicht anderer zu erkennen. Dieses Defizit kann für Probleme in der sozialen Interaktion ursächlich werden. Es werden zwei diagnostische Verfahren für die Messung der Emotionserkennung vorgestellt. Der computerbasierte FEEL-Test (Facially Expressed Emotion Labelling) präsentiert für jeweils 300 ms farbige Portraitfotos, auf denen in typischer Weise die sechs Basisemotionen Angst, Ekel, Freude, Trauer, Ärger und Überraschung im Vergleich zu neutralen Gesichtern dargestellt sind. Der Proband entscheidet durch Auswahl angebotener Antwortmöglichkeiten, welche Emotion er gesehen hat. Der Test ist objektiv und reliabel, kann aber – wie nahezu alle vergleichbaren Tests – durch den Einsatz statischer Stimuli und die Eingrenzung der Antworten nur als bedingt konstruktvalide bezeichnet werden. Das neu entwickelte FEMT (Facial Expression Morphing Tool) löst diese Probleme, indem es in kurzen – gemorphten – Filmsequenzen die Entwicklung einer Emotion auf dem Gesicht zeigt und dem Probanden sowohl forced choice als auch freie Antworten ermöglicht.

Summary

Many patients with psychological or neurological disorders have difficulties recognising emotions in faces of others. This deficit can cause problems in social interaction. Two diagnostic instruments for the measurement of emotion recognition are presented here. The computer based FEELTest (Facially Expressed Emotion Labelling) presents colour pictures of faces for 300 ms at a time on which the six basic emotions fear, disgust, happiness, sadness, anger and surprise are presented in comparison to neutral pictures. The subject decides by forced choice of verbal labels which emotion was presented. The test is objective and reliable, has however – as in almost all comparable tests – a limited construct validity due to the use of static pictures and a forced choice paradigm. The newly developed FEMT (Facial Expression Morphing Tool) solves these problems by showing short morphed video sequences of the development of an emotion on the face and the response possibilities are either forced or free choice.

Schlüsselwörter

Emotionserkennung - Basisemotionen - Mimik - Morphing

Key words

Emotion recognition - basic emotions - facial expression - morphing

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