Part-based processing, but not holistic processing, predicts individual differences in face recognition abilities

Abstract

This study aimed to assess the roles of part-based and holistic processing for face processing ability (FPA). A psychophysical paradigm in which the efficiency at recognizing isolated or combined facial parts was used (N = 64), and holistic processing was defined as the perceptual integration from multiple parts. FPA and object processing ability were measured using a battery of tasks. A multiple linear regression including three predictors, namely perceptual integration, part-based efficiency, and object processing, explained 40 % of the variance in FPA. Most importantly, our results reveal a strong predictive relationship between part-based efficiency and FPA, a small predictive relationship between object processing ability and FPA, and no predictive relationship between perceptual integration and FPA. This result was obtained despite considerable variance in perceptual integration skills-with some participants exhibiting a highly efficient integration. These results indicate that part-based processing plays a pivotal role in FPA, whereas holistic processing does not.

Keywords: Face perception; Face recognition; Individual differences; Integration efficiency; Psychophysics.