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Dynamic Facial Expression of Emotion and Observer Inference

Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-195853
  • Research on facial emotion expression has mostly focused on emotion recognition, assuming that a small number of discrete emotions is elicited and expressed via prototypical facial muscle configurations as captured in still photographs. These are expected to be recognized by observers, presumably via template matching. In contrast, appraisal theories of emotion propose a more dynamic approach, suggesting that specific elements of facial expressions are directly produced by the result of certain appraisals and predicting the facial patterns toResearch on facial emotion expression has mostly focused on emotion recognition, assuming that a small number of discrete emotions is elicited and expressed via prototypical facial muscle configurations as captured in still photographs. These are expected to be recognized by observers, presumably via template matching. In contrast, appraisal theories of emotion propose a more dynamic approach, suggesting that specific elements of facial expressions are directly produced by the result of certain appraisals and predicting the facial patterns to be expected for certain appraisal configurations. This approach has recently been extended to emotion perception, claiming that observers first infer individual appraisals and only then make categorical emotion judgments based on the estimated appraisal patterns, using inference rules. Here, we report two related studies to empirically investigate the facial action unit configurations that are used by actors to convey specific emotions in short affect bursts and to examine to what extent observers can infer a person's emotions from the predicted facial expression configurations. The results show that (1) professional actors use many of the predicted facial action unit patterns to enact systematically specified appraisal outcomes in a realistic scenario setting, and (2) naïve observers infer the respective emotions based on highly similar facial movement configurations with a degree of accuracy comparable to earlier research findings. Based on estimates of underlying appraisal criteria for the different emotions we conclude that the patterns of facial action units identified in this research correspond largely to prior predictions and encourage further research on appraisal-driven expression and inference.zeige mehrzeige weniger

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Autor(en): Klaus R. Scherer, Heiner Ellgring, Anja Dieckmann, Matthias Unfried, Marcello Mortillaro
URN:urn:nbn:de:bvb:20-opus-195853
Dokumentart:Artikel / Aufsatz in einer Zeitschrift
Institute der Universität:Fakultät für Humanwissenschaften (Philos., Psycho., Erziehungs- u. Gesell.-Wissensch.) / Institut für Psychologie
Sprache der Veröffentlichung:Englisch
Titel des übergeordneten Werkes / der Zeitschrift (Englisch):Frontiers in Psychology
ISSN:1664-1078
Erscheinungsjahr:2019
Band / Jahrgang:10
Heft / Ausgabe:508
Originalveröffentlichung / Quelle:Frontiers in Psychology 2019, 10:508. doi: 10.3389/fpsyg.2019.00508
DOI:https://doi.org/10.3389/fpsyg.2019.00508
Allgemeine fachliche Zuordnung (DDC-Klassifikation):1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie
Freie Schlagwort(e):affect bursts; appraisal theory of emotion expression; dynamic facial emotion expression; emotion enactment; emotion recognition
Datum der Freischaltung:20.10.2020
Datum der Erstveröffentlichung:19.03.2019
EU-Projektnummer / Contract (GA) number:230331-PROPEREMO
OpenAIRE:OpenAIRE
Lizenz (Deutsch):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International