Word and Face Recognition Processing Based on Response Times and Ex-Gaussian Components - Université Grenoble Alpes
Article Dans Une Revue Entropy Année : 2021

Word and Face Recognition Processing Based on Response Times and Ex-Gaussian Components

Résumé

The face is a fundamental feature of our identity. In humans, the existence of specialized processing modules for faces is now widely accepted. However, identifying the processes involved for proper names is more problematic. The aim of the present study is to examine which of the two treatments is produced earlier and whether the social abilities are influent. We selected 100 university students divided into two groups: Spanish and USA students. They had to recognize famous faces or names by using a masked priming task. An analysis of variance about the reaction times (RT) was used to determine whether significant differences could be observed in word or face recognition and between the Spanish or USA group. Additionally, and to examine the role of outliers, the Gaussian distribution has been modified exponentially. Famous faces were recognized faster than names, and differences were observed between Spanish and North American participants, but not for unknown distracting faces. The current results suggest that response times to face processing might be faster than name recognition, which supports the idea of differences in processing nature.
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hal-03355022 , version 1 (01-02-2023)

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Carmen Moret-Tatay, David García-Ramos, Begoña Sáiz-Mauleón, Daniel Gamermann, Cyril Bertheaux, et al.. Word and Face Recognition Processing Based on Response Times and Ex-Gaussian Components. Entropy, 2021, 23 (5), pp.580. ⟨10.3390/e23050580⟩. ⟨hal-03355022⟩
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