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Automatic Personality Assessment through Movement Analysis.

David Delgado-Gómez1, Antonio Eduardo Masó-Besga2, David Aguado3,4

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Summary
This summary is machine-generated.

This study introduces a novel method for personality assessment using body movements captured by a Microsoft Kinect camera. This approach overcomes limitations of traditional questionnaires, showing promise for objective personality evaluation.

Keywords:
Big-Five modelKinectmovementpersonality assessment

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Area of Science:

  • Psychology
  • Computer Science
  • Human-Computer Interaction

Background:

  • Traditional personality assessments (scales, questionnaires) have limitations like lack of veracity, cultural bias, and administration constraints.
  • Recent research explores using body movements as objective personality predictors.
  • Developing a reliable, objective, and accessible personality assessment method is crucial across various fields.

Purpose of the Study:

  • To develop and evaluate a novel system for personality assessment based on body movements.
  • To address the drawbacks of conventional personality evaluation methods.
  • To investigate the feasibility of using low-cost motion capture technology for personality trait identification.

Main Methods:

  • A multiple linear regression model was developed to predict personality traits from movement data.
  • Body movements were captured using the low-cost Microsoft Kinect camera.
  • A pilot study assessed personality traits according to the Big-Five Personality Model.

Main Results:

  • The system demonstrated feasibility in assessing personality through body movements.
  • Extroversion and Conscientiousness were the personality traits that best fit the developed model.
  • Identified specific movement patterns associated with the five personality traits.

Conclusions:

  • Assessing personality through body movements is a viable alternative to traditional methods.
  • The use of motion capture technology offers an objective and potentially bias-free approach to personality evaluation.
  • This research opens new avenues for objective personality assessment in diverse applications.