Face Processing in Real and Virtual Faces: An EEG Study

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    19 Downloads (Pure)

    Abstract

    Previous studies suggested brain differences in the temporal domain when processing real human faces versus virtual agent faces, starting from 400 ms onward. However, few studies directly compared the early and the late face processing stages within one paradigm. Here we conducted an EEG study utilizing real human faces and high-quality virtual agent faces, examining two event-related potentials; the early N170 and the Late Positive Potential (LPP). Results showed identical N170 responses for both face types. However, the LPP response revealed a nuanced distinction, with real human faces evoking a slightly larger LPP compared to virtual agent faces. These results suggest that although virtual agent faces can approach the level of emotional engagement and higher-order evaluation associated with real human faces, human faces remain the most engaging. These findings shed light on the cognitive processes involved in face perception and the potential for intelligent virtual agents in AI and education.

    Original languageEnglish
    Title of host publicationProceedings of the Annual Meeting of the Cognitive Science Society
    EditorsL.K. Samuelson, S.L. Frank, M. Toneva, A. Mackey, E. Hazeltine
    Pages3242-3248
    Number of pages7
    Volume46
    ISBN (Electronic)1069-7977
    Publication statusPublished - 2024
    EventThe Annual meeting of the Cognitive Science Society - Rotterdam
    Duration: 24 Jul 202427 Jul 2024
    Conference number: 46

    Conference

    ConferenceThe Annual meeting of the Cognitive Science Society
    Abbreviated titleCOGSCI 2024
    CityRotterdam
    Period24/07/2427/07/24

    Keywords

    • face processing
    • virtual faces
    • EEG
    • event-related potential (ERP)
    • N170
    • LPP

    Fingerprint

    Dive into the research topics of 'Face Processing in Real and Virtual Faces: An EEG Study'. Together they form a unique fingerprint.

    Cite this