The Geneva Faces and Voices (GEFAV) database

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• 作者：Camille Ferdenzi ; Sylvain Delplanque ; Ines Mehu-Blantar…
• 关键词：Faces ; Voices ; Database ; Attractiveness ; Social cognition ; Mate choice
• 刊名：Behavior Research Methods
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：47
• 期：4
• 页码：1110-1121
• 全文大小：346 KB
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• 作者单位：Camille Ferdenzi (1) (2)
  Sylvain Delplanque (1) (2)
  Ines Mehu-Blantar (1) (2)
  Katharin Mylena Da Paz Cabral (1) (2)
  Marisa Domingos Felicio (1) (2)
  David Sander (1) (2)
  
  1. Swiss Center for Affective Sciences, University of Geneva, Case Postale 60, CH-1211, Geneva 20, Switzerland
  2. Laboratory for the Study of Emotion Elicitation and Expression (E3 Lab), Department of Psychology, FPSE, University of Geneva, Geneva, Switzerland
  
• 刊物主题：Cognitive Psychology;
• 出版者：Springer US
• ISSN：1554-3528

文摘

Although many facial and vocal databases are available for research, very few of them have controlled the range of attractiveness of the stimuli that they offer. To fill this gap, we created the GEneva Faces and Voices (GEFAV) database, providing standardized faces (static and dynamic neutral, smiling) and voices (speaking sentences, vowels) of young European adults. A total of 61 women and 50 men 18-5 years old agreed to be part of the GEFAV stimuli, and two rating studies involving 285 participants provided evaluations of the facial and vocal samples. The final set of stimuli was satisfactory in terms of attractiveness range (wide and rather symmetrical distribution over the attractiveness continuum) and the reliability of the ratings (high consistency between the two rating studies, high interrater agreement in the final rating study). Moreover, the database showed an adequate validity, since a series of findings described by earlier research on human attractiveness were confirmed—namely, that facial and vocal attractiveness are predicted by femininity and health in women, and by masculinity, dominance, and trustworthiness in men. In future studies, the GEFAV stimuli may be used intact or transformed, individually or in multimodal combinations, to investigate a wide range of mechanisms, such as the behavioral, neuropsychological, and neurophysiological processes involved in social cognition. Keywords Faces Voices Database Attractiveness Social cognition Mate choice