Publication:
Automatic Personality Assessment through Movement Analysis

Loading...
Thumbnail Image
Identifiers
Publication date
2022-05-01
Defense date
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI AG
Impact
Google Scholar
Export
Research Projects
Organizational Units
Journal Issue
Abstract
Obtaining accurate and objective assessments of an individual’s personality is vital in many areas including education, medicine, sports and management. Currently, most personality assessments are conducted using scales and questionnaires. Unfortunately, it has been observed that both scales and questionnaires present various drawbacks. Their limitations include the lack of veracity in the answers, limitations in the number of times they can be administered, or cultural biases. To solve these problems, several articles have been published in recent years proposing the use of movements that participants make during their evaluation as personality predictors. In this work, a multiple linear regression model was developed to assess the examinee’s personality based on their movements. Movements were captured with the low-cost Microsoft Kinect camera, which facilitates its acceptance and implementation. To evaluate the performance of the proposed system, a pilot study was conducted aimed at assessing the personality traits defined by the Big-Five Personality Model. It was observed that the traits that best fit the model are Extroversion and Conscientiousness. In addition, several patterns that characterize the five personality traits were identified. These results show that it is feasible to assess an individual’s personality through his or her movements and open up pathways for several research.
Description
Keywords
Personality Assessment, Movement, Kinect, Big-Five Model
Bibliographic citation
Delgado-Gómez, D., Masó-Besga, A. E., Aguado, D., Rubio, V. J., Sujar, A., & Bayona, S. (2022). Automatic Personality Assessment through Movement Analysis. In Sensors, 22,(10), p. 3949-3960