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Automatic Estimation of Multidimensional Personality From a Single Sound-Symbolic Word.
Sakamoto, Maki; Watanabe, Junji; Yamagata, Koichi.
Afiliación
  • Sakamoto M; Department of Informatics, The University of Electro-Communications, Chofu, Japan.
  • Watanabe J; NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Atsugi, Japan.
  • Yamagata K; Department of Informatics, The University of Electro-Communications, Chofu, Japan.
Front Psychol ; 12: 595986, 2021.
Article en En | MEDLINE | ID: mdl-33967880
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Psychol Año: 2021 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Psychol Año: 2021 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Suiza