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VPTD: Human Face Video Dataset for Personality Traits Detection

Author

Listed:
  • Kenan Kassab

    (St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), 199178 St. Petersburg, Russia)

  • Alexey Kashevnik

    (St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), 199178 St. Petersburg, Russia
    Institute of Mathematics and Information Technologies, Perozavodsk State University (PetrSU), 185035 Petrozavodsk, Russia)

  • Alexander Mayatin

    (Information Technology and Programming Faculty, ITMO University, 197101 St. Petersburg, Russia)

  • Dmitry Zubok

    (Information Technology and Programming Faculty, ITMO University, 197101 St. Petersburg, Russia)

Abstract

In this paper, we propose a dataset for personality traits detection based on human face videos. Ground truth data have been annotated using the IPIP-50 personality test that every participant is implementing. To collect the dataset, we developed a web-based platform that allows us to acquire spontaneous answers for predefined questions from the respondents. The website allows the participants to record an interactive interview in order to imitate the real-life interview. The dataset includes 38 videos (2 min on average) for people of different races, genders, and ages. In the paper, we propose the top five personality traits calculated based on the test, as well as the top five personality traits calculated by our own developed model that determines this information based on video analysis. We introduced a statistical analysis for the collected dataset, and we also applied a K-means clustering algorithm to cluster the data and present the clustering results.

Suggested Citation

  • Kenan Kassab & Alexey Kashevnik & Alexander Mayatin & Dmitry Zubok, 2023. "VPTD: Human Face Video Dataset for Personality Traits Detection," Data, MDPI, vol. 8(7), pages 1-12, June.
    • Handle: RePEc:gam:jdataj:v:8:y:2023:i:7:p:113-:d:1177119
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