Multimodal analysis of personality traits on videos of self-presentation and induced behavior

Dersu Giritlioglu*, Burak Mandira, Selim Firat Yilmaz, Can Ufuk Ertenli, Berhan Faruk Akgur, Merve Kiniklioglu, Asli Gul Kurt, Emre Mutlu, Seref Can Gürel, Hamdi Dibeklioglu

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Personality analysis is an important area of research in several fields, including psychology, psychiatry, and neuroscience. With the recent dramatic improvements in machine learning, it has also become a popular research area in computer science. While the current computational methods are able to interpret behavioral cues (e.g., facial expressions, gesture, and voice) to estimate the level of (apparent) personality traits, accessible assessment tools are still substandard for practical use, not to mention the need for fast and accurate methods for such analyses. In this study, we present multimodal deep architectures to estimate the Big Five personality traits from (temporal) audio-visual cues and transcribed speech. Furthermore, for a detailed analysis of personality traits, we have collected a new audio-visual dataset, namely: Self-presentation and Induced Behavior Archive for Personality Analysis (SIAP). In contrast to the available datasets, SIAP introduces recordings of induced behavior in addition to self-presentation (speech) videos. With thorough experiments on SIAP and ChaLearn LAP First Impressions datasets, we systematically assess the reliability of different behavioral modalities and their combined use. Furthermore, we investigate the characteristics and discriminative power of induced behavior for personality analysis, showing that the induced behavior indeed includes signs of personality traits
Original languageEnglish
Number of pages22
JournalJournal on Multimodal User Interfaces
DOIs
Publication statusE-pub ahead of print - 2 Nov 2020

Keywords

  • Big five
  • Estimation of personality traits
  • Deep learning
  • Multimodal fusion
  • Self-presentation
  • Induced behavior
  • 5-FACTOR MODEL
  • 1ST IMPRESSIONS
  • PSYCHOTIC DISORDERS
  • GENDER-DIFFERENCES
  • MAJOR DEPRESSION
  • BIPOLAR I
  • FEATURES
  • IMPACT

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