Integrating Vision and Language for First-Impression Personality Analysis

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

doi:10.1109/MMUL.2018.023121162

Integrating Vision and Language for First-Impression Personality Analysis

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

Research output: Contribution to journal › Article › Research › peer-review

18 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 language	English
Article number	8424834
Pages (from-to)	24-33
Journal	IEEE Multimedia
Volume	25
Issue number	2
DOIs	https://doi.org/10.1109/MMUL.2018.023121162
Publication status	Published - 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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10.1109/MMUL.2018.023121162

Cite this

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title = "Integrating Vision and Language for First-Impression Personality Analysis",

abstract = "{\textcopyright} 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.",

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AU - Avots, Egils

AU - Lusi, Iiris

AU - Fishel, Mark

AU - Escalera, Sergio

AU - Anbarjafari, Gholamreza

PY - 2018/4/1

Y1 - 2018/4/1

N2 - © 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.

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KW - deep learning

KW - facial unit analysis

KW - first impression

KW - human-machine interaction

KW - multimedia fusion

KW - multimedia processing

KW - natural language processing

KW - personality analysis

KW - pervasive computing

KW - ubiquitous computing

KW - vision and language integration

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DO - 10.1109/MMUL.2018.023121162

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ER -

Integrating Vision and Language for First-Impression Personality Analysis

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Keywords

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