Dissociating Task Difficulty from Incongruence in Face-Voice Emotion
Dissociating task difficulty from incongruence in face-voice emotion integration Rebecca Watson, Marianne Latinus, Takao Noguchi, Oliver Garrod, Frances Crabbe, Pascal Belin To cite this version: Rebecca Watson, Marianne Latinus, Takao Noguchi, Oliver Garrod, Frances Crabbe, et al.. Dis- sociating task difficulty from incongruence in face-voice emotion integration. Frontiers inHuman Neuroscience, Frontiers, 2013, 7, pp.744. 10.3389/fnhum.2013.00744. hal-02006942 HAL Id: hal-02006942 https://hal.archives-ouvertes.fr/hal-02006942 Submitted on 5 Feb 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. ORIGINAL RESEARCH ARTICLE published: 13 November 2013 HUMAN NEUROSCIENCE doi: 10.3389/fnhum.2013.00744 Dissociating task difficulty from incongruence in face-voice emotion integration Rebecca Watson 1,2*, Marianne Latinus 2,3, Takao Noguchi 2,4, Oliver Garrod 2, Frances Crabbe 2 and Pascal Belin 2,3,5 1 Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands 2 Centre for Cognitive Neuroimaging, Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK 3 Institut de Neurosciences de la Timone and Aix-Marseille Université, Marseille, France 4 Department of Psychology, University of Warwick, Coventry, UK 5 International Laboratories for Brain, Music and Sound, Université de Montréal and McGill University, Montreal, QC, Canada Edited by: In the everyday environment, affective information is conveyed by both the face and Martin Klasen, RWTH Aachen the voice.
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