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Research Paper

A correlational study investigating whether semantic knowledge facilitates face identity processing

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Article: 2206203 | Received 27 Mar 2023, Accepted 19 Apr 2023, Published online: 28 Apr 2023
 

ABSTRACT

The ability to recognize faces is a fundamental skill in human social interaction. While much research has focused on the recognition of familiar faces, there is growing interest in understanding the cognitive processes underlying the recognition of unfamiliar faces. Previous studies have suggested that both semantic knowledge and physical features play a role in unfamiliar face recognition, but the nature of their relationship is not well understood. This study examines the relationship between unfamiliar face recognition ability and the encoding abilities of semantic knowledge and physical features for famous faces. Using the Gorilla platform, a large group of participants (N = 66) with a broad age range completed three tasks: a challenging unfamiliar face matching task and Famous People Recognition Tests 1 and 2 to evaluate semantic and physical feature encoding abilities, respectively. Results indicate positive correlations between encoding abilities for both semantic knowledge and physical features of familiar faces with Model Face Matching Task scores. Additionally, the encoding ability for semantic knowledge was found to be positively associated with that of physical features.

Disclosure statement

No potential conflict of interest was reported by the authors.

Data availability statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Author contribution

Conceptualization, Y.Q. and Y.L.; methodology, Y.Q.; validation, Y.Q. and Y.L.; formal analysis, Y.L.; investigation, Y.Q.; resources, Y.L.; writing – original draft preparation, Y.Q.; writing – review and editing, Y.Q. and Y.L.; visualization, Y.Q.; supervision, Y.L.; and project administration, Y.L. All authors have read and agreed to the published version of the manuscript.

Additional information

Funding

This research was funded by Asia Education Institution Pte Ltd (Singapore) Grant Call (Call 1/2023) _AEI (Project ID AEI-001), Singapore.