Integrating Vision and Language for First-Impression Personality Analysis

Jelena Gorbova, Egils Avots, Iiris Lusi, Mark Fishel, Sergio Escalera, Gholamreza Anbarjafari

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    3 Citations (Scopus)

    Abstract

    © 1994-2012 IEEE. The authors present a novel methodology for analyzing integrated audiovisual signals and language to assess a persons personality. An evaluation of their proposed multimodal method using a job candidate screening system that predicted five personality traits from a short video demonstrates the methods effectiveness.
    Original languageEnglish
    Article number8424834
    Pages (from-to)24-33
    JournalIEEE Multimedia
    Volume25
    Issue number2
    DOIs
    Publication statusPublished - 1 Apr 2018

    Keywords

    • Big Five Personality Traits
    • deep learning
    • facial unit analysis
    • first impression
    • human-machine interaction
    • multimedia fusion
    • multimedia processing
    • natural language processing
    • personality analysis
    • pervasive computing
    • ubiquitous computing
    • vision and language integration

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  • Cite this

    Gorbova, J., Avots, E., Lusi, I., Fishel, M., Escalera, S., & Anbarjafari, G. (2018). Integrating Vision and Language for First-Impression Personality Analysis. IEEE Multimedia, 25(2), 24-33. [8424834]. https://doi.org/10.1109/MMUL.2018.023121162