Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/59083
Title: Facial Motor Information is Sufficient for Identity Recognition
Contributor(s): Vitale, Jonathan  (author)orcid ; Johnston, Benjamin (author); Williams, Mary-Anne (author)
Publication Date: 2017-07
Handle Link: https://hdl.handle.net/1959.11/59083
Abstract: 

The face is a central communication channel providing information about the identities of our interaction partners and their potential mental states expressed by motor configurations. Although it is well known that infants ability to recognise people follows a developmental process, it is still an open question how face identity recognition skills can develop and, in particular, how facial expression and identity processing potentially interact during this developmental process. We propose that by acquiring information of the facial motor configuration observed from face stimuli encountered throughout development would be sufficient to develop a face-space representation. This representation encodes the observed face stimuli as points of a multidimensional psychological space able to assist facial identity and expression recognition. We validate our hypothesis through computational simulations and we suggest potential implications of this understanding with respect to the available findings in face processing.

Publication Type: Conference Publication
Conference Details: CogSci 2017: The 39th Annual Meeting of the Cognitive Science Society, United Kingdom, 26th to 29th of July, 2017
Source of Publication: 39th Annual Meeting of the Cognitive Science Society (CogSci 2017), Computational Foundations of Cognition, v.1, p. 3447-3452
Publisher: Cognitive Science Society, Inc
Place of Publication: United States of America
Fields of Research (FoR) 2020: 4601 Applied computing
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: https://www.proceedings.com/35829.html
Appears in Collections:Conference Publication
School of Science and Technology

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