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Automatic Personality Assessment through Movement Analysis
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 que...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147512/ https://www.ncbi.nlm.nih.gov/pubmed/35632357 http://dx.doi.org/10.3390/s22103949 |
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author | Delgado-Gómez, David Masó-Besga, Antonio Eduardo Aguado, David Rubio, Victor J. Sujar, Aaron Bayona, Sofia |
author_facet | Delgado-Gómez, David Masó-Besga, Antonio Eduardo Aguado, David Rubio, Victor J. Sujar, Aaron Bayona, Sofia |
author_sort | Delgado-Gómez, David |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9147512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91475122022-05-29 Automatic Personality Assessment through Movement Analysis Delgado-Gómez, David Masó-Besga, Antonio Eduardo Aguado, David Rubio, Victor J. Sujar, Aaron Bayona, Sofia Sensors (Basel) Article 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. MDPI 2022-05-23 /pmc/articles/PMC9147512/ /pubmed/35632357 http://dx.doi.org/10.3390/s22103949 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Delgado-Gómez, David Masó-Besga, Antonio Eduardo Aguado, David Rubio, Victor J. Sujar, Aaron Bayona, Sofia Automatic Personality Assessment through Movement Analysis |
title | Automatic Personality Assessment through Movement Analysis |
title_full | Automatic Personality Assessment through Movement Analysis |
title_fullStr | Automatic Personality Assessment through Movement Analysis |
title_full_unstemmed | Automatic Personality Assessment through Movement Analysis |
title_short | Automatic Personality Assessment through Movement Analysis |
title_sort | automatic personality assessment through movement analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147512/ https://www.ncbi.nlm.nih.gov/pubmed/35632357 http://dx.doi.org/10.3390/s22103949 |
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