Automatic Estimation of Multidimensional Personality From a Single Sound-Symbolic Word

Researchers typically use the “big five” traits (Extroversion, Agreeableness, Conscientiousness, Neuroticism, and Openness) as a standard way to describe personality. Evaluation of personality is generally conducted using self-report questionnaires that require participants to respond to a large num...

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Main Authors: Maki Sakamoto, Junji Watanabe, Koichi Yamagata
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2021.595986/full
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author Maki Sakamoto
Junji Watanabe
Koichi Yamagata
author_facet Maki Sakamoto
Junji Watanabe
Koichi Yamagata
author_sort Maki Sakamoto
collection DOAJ
description Researchers typically use the “big five” traits (Extroversion, Agreeableness, Conscientiousness, Neuroticism, and Openness) as a standard way to describe personality. Evaluation of personality is generally conducted using self-report questionnaires that require participants to respond to a large number of test items. To minimize the burden on participants, this paper proposes an alternative method of estimating multidimensional personality traits from only a single word. We constructed a system that can convert a sound-symbolic word (SSW) that intuitively expresses personality traits into information expressed by 50 personality-related adjective pairs. This system can obtain information equivalent to the adjective scales using only a single word instead of asking many direct questions. To achieve this, we focused on SSWs in Japanese that have the association between linguistic sounds and meanings and express diverse and complex aspects of personality traits. We evaluated the prediction accuracy of the system and found that the multiple correlation coefficients for 48 personality-related adjective pairs exceeded 0.75, indicating that the model could explain more than half of the variations in the data. In addition, we conducted an evaluation experiment in which participants rated the appropriateness of the system output using a seven-point scale (with −3 as absolutely inappropriate and +3 as completely appropriate). The average score for 50 personality-related adjective pairs was 1.25. Thus, we believe that this system can contribute to the field of personality computing, particularly in terms of personality evaluation and communication.
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spelling doaj.art-b966fc3ba4de44aebc59d3bdd3e53b5d2022-12-21T23:40:28ZengFrontiers Media S.A.Frontiers in Psychology1664-10782021-04-011210.3389/fpsyg.2021.595986595986Automatic Estimation of Multidimensional Personality From a Single Sound-Symbolic WordMaki Sakamoto0Junji Watanabe1Koichi Yamagata2Department of Informatics, The University of Electro-Communications, Chofu, JapanNTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Atsugi, JapanDepartment of Informatics, The University of Electro-Communications, Chofu, JapanResearchers typically use the “big five” traits (Extroversion, Agreeableness, Conscientiousness, Neuroticism, and Openness) as a standard way to describe personality. Evaluation of personality is generally conducted using self-report questionnaires that require participants to respond to a large number of test items. To minimize the burden on participants, this paper proposes an alternative method of estimating multidimensional personality traits from only a single word. We constructed a system that can convert a sound-symbolic word (SSW) that intuitively expresses personality traits into information expressed by 50 personality-related adjective pairs. This system can obtain information equivalent to the adjective scales using only a single word instead of asking many direct questions. To achieve this, we focused on SSWs in Japanese that have the association between linguistic sounds and meanings and express diverse and complex aspects of personality traits. We evaluated the prediction accuracy of the system and found that the multiple correlation coefficients for 48 personality-related adjective pairs exceeded 0.75, indicating that the model could explain more than half of the variations in the data. In addition, we conducted an evaluation experiment in which participants rated the appropriateness of the system output using a seven-point scale (with −3 as absolutely inappropriate and +3 as completely appropriate). The average score for 50 personality-related adjective pairs was 1.25. Thus, we believe that this system can contribute to the field of personality computing, particularly in terms of personality evaluation and communication.https://www.frontiersin.org/articles/10.3389/fpsyg.2021.595986/fullpersonality evaluationsystem constructionsound-symbolic wordonomatopoeiaJapanese
spellingShingle Maki Sakamoto
Junji Watanabe
Koichi Yamagata
Automatic Estimation of Multidimensional Personality From a Single Sound-Symbolic Word
Frontiers in Psychology
personality evaluation
system construction
sound-symbolic word
onomatopoeia
Japanese
title Automatic Estimation of Multidimensional Personality From a Single Sound-Symbolic Word
title_full Automatic Estimation of Multidimensional Personality From a Single Sound-Symbolic Word
title_fullStr Automatic Estimation of Multidimensional Personality From a Single Sound-Symbolic Word
title_full_unstemmed Automatic Estimation of Multidimensional Personality From a Single Sound-Symbolic Word
title_short Automatic Estimation of Multidimensional Personality From a Single Sound-Symbolic Word
title_sort automatic estimation of multidimensional personality from a single sound symbolic word
topic personality evaluation
system construction
sound-symbolic word
onomatopoeia
Japanese
url https://www.frontiersin.org/articles/10.3389/fpsyg.2021.595986/full
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