Can You Identify These Celebrities? A Network Analysis on Differences between Word and Face Recognition

Carmen Moret-Tatay, Inmaculada Baixauli-Fortea, M. Dolores Grau Sevilla and Tatiana Quarti Irigaray
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Carmen Moret-Tatay: Escuela de Doctorado, Universidad Católica de Valencia San Vicente Mártir, San Agustín 3, Esc. A, Entresuelo 1, 46002 València, Spain
Inmaculada Baixauli-Fortea: Faculty of Psychology, Universidad Católica de Valencia San Vicente Mártir, Sede Padre Jofré, Av., Ilustración nº2, 46100 Burjassot, València, Spain
M. Dolores Grau Sevilla: Faculty of Psychology, Universidad Católica de Valencia San Vicente Mártir, Sede Padre Jofré, Av., Ilustración nº2, 46100 Burjassot, València, Spain
Tatiana Quarti Irigaray: Pós-Graduate Program in Psychology, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre 91215-330, Brazil

Mathematics, 2020, vol. 8, issue 5, 1-17

Abstract: Face recognition is located in the fusiform gyrus, which is also related to other tasks such word recognition. Although these two processes have several similarities, there are remarkable differences that include a vast range of approaches, which results from different groups of participants. This research aims to examine how the word-processing system processes faces at different moments and vice versa. Two experiments were carried out. Experiment 1 allowed us to examine the classical discrimination task, while Experiment 2 allowed us to examine very early moments of discrimination. In the first experiment, 20 Spanish University students volunteered to participate. Secondly, a sample of 60 participants from different nationalities volunteered to take part in Experiment 2. Furthermore, the role of sex and place of origin were considered in Experiment 1. No differences between men and women were found in Experiment 1, nor between conditions. However, Experiment 2 depicted shorter latencies for faces than word names, as well as a higher masked repetition priming effect for word identities and word names preceded by faces. Emerging methodologies in the field might help us to better understand the relationship among these two processes. For this reason, a network analysis approach was carried out, depicting sub-communities of nodes related to face or word name recognition, which were replicated across different groups of participants. Bootstrap inferences are proposed to account for variability in estimating the probabilities in the current samples. This supports that both processes are related to early moments of recognition, and rather than being independent, they might be bilaterally distributed with some expert specializations or preferences.

Keywords: structure of networks; language networks; network analysis; face recognition; word recognition; masked priming (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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