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Local Jekyll and global Hyde: the dual identity of face identification

Miellet, S., Caldara, R., and Schyns, P.G. (2011) Local Jekyll and global Hyde: the dual identity of face identification. Psychological Science, 22 (12). pp. 1518-1526. ISSN 0956-7976 (doi:10.1177/0956797611424290)

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Abstract

The main concern in face-processing research is to understand the processes underlying the identification of faces. In the study reported here, we addressed this issue by examining whether local or global information supports face identification. We developed a new methodology called "iHybrid." This technique combines two famous identities in a gaze-contingent paradigm, which simultaneously provides local, foveated information from one face and global, complementary information from a second face. Behavioral face-identification performance and eye-tracking data showed that the visual system identified faces on the basis of either local or global information depending on the location of the observer''s first fixation. In some cases, a given observer even identified the same face using local information on one trial and global information on another trial. A validation in natural viewing conditions confirmed our findings. These results clearly demonstrate that face identification is not rooted in a single, or even preferred, information-gathering strategy.

Item Type:Article
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Schyns, Prof Philippe and Caldara, Prof Roberto and Miellet, Dr Sebastien
Authors: Miellet, S., Caldara, R., and Schyns, P.G.
College/School:College of Medical Veterinary and Life Sciences > Institute of Neuroscience and Psychology
Journal Name:Psychological Science
Journal Abbr.:Psychol Sci.
ISSN:0956-7976
ISSN (Online):1467-9280
Published Online:10 November 2011

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
449881Social interaction - a cognitive-neurosciences approachSimon GarrodEconomic & Social Research Council (ESRC)RES-060-25-0010Cognitive Neuroimaging & Neuroengineering Technologies