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Classification of Participants Based on Increase–Decrease Rate Model of Reaction Time to Personality Trait Words

In this experiment, we tried to measure personality by reaction time (RT) to stimuli of personality trait words. There were interindividual and intraindividual differences in the factors that caused the reaction time to fluctuate. The intraindividual differences for personality trait words were caus...

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Detalles Bibliográficos
Autores principales: Matsuda, Kouhei, Sato, Emi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960546/
https://www.ncbi.nlm.nih.gov/pubmed/31847352
http://dx.doi.org/10.3390/bs9120155
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author Matsuda, Kouhei
Sato, Emi
author_facet Matsuda, Kouhei
Sato, Emi
author_sort Matsuda, Kouhei
collection PubMed
description In this experiment, we tried to measure personality by reaction time (RT) to stimuli of personality trait words. There were interindividual and intraindividual differences in the factors that caused the reaction time to fluctuate. The intraindividual differences for personality trait words were caused by changes due to circumstances for the same participant. The increased stimulus reaction time (sRT) model for simple reaction time was used as an index to indicate personality traits. As a result, participants could be classified into two major hierarchical clusters. The participants in Cluster 1 showed innovative dominance. The participants in Cluster 2 were obedient and conservative. The independent variable was measured by the physiological index using sRT for classify the participants. Participants in Cluster 2 had a reduced stress response to the experiment and showed a tendency to be compliant. Moreover, immediately after the RT measurement session with a laptop computer started, participants in Cluster 1 showed decreased HEG and increased amylase values and had a somewhat negative attitude. The physiological dependent variable were measured by using salivary amylase and hemoencephalography (HEG). And, the psychological dependent variable was the Big Five personality inventory. All of them ware using to verify the participant’s classification. Participants in Cluster 2 had significantly higher conscientiousness than those in Cluster 1. Therefore, we suggest that it is possible to classify personality traits from RT by using sRT based on intraindividual differences.
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spelling pubmed-69605462020-01-23 Classification of Participants Based on Increase–Decrease Rate Model of Reaction Time to Personality Trait Words Matsuda, Kouhei Sato, Emi Behav Sci (Basel) Article In this experiment, we tried to measure personality by reaction time (RT) to stimuli of personality trait words. There were interindividual and intraindividual differences in the factors that caused the reaction time to fluctuate. The intraindividual differences for personality trait words were caused by changes due to circumstances for the same participant. The increased stimulus reaction time (sRT) model for simple reaction time was used as an index to indicate personality traits. As a result, participants could be classified into two major hierarchical clusters. The participants in Cluster 1 showed innovative dominance. The participants in Cluster 2 were obedient and conservative. The independent variable was measured by the physiological index using sRT for classify the participants. Participants in Cluster 2 had a reduced stress response to the experiment and showed a tendency to be compliant. Moreover, immediately after the RT measurement session with a laptop computer started, participants in Cluster 1 showed decreased HEG and increased amylase values and had a somewhat negative attitude. The physiological dependent variable were measured by using salivary amylase and hemoencephalography (HEG). And, the psychological dependent variable was the Big Five personality inventory. All of them ware using to verify the participant’s classification. Participants in Cluster 2 had significantly higher conscientiousness than those in Cluster 1. Therefore, we suggest that it is possible to classify personality traits from RT by using sRT based on intraindividual differences. MDPI 2019-12-14 /pmc/articles/PMC6960546/ /pubmed/31847352 http://dx.doi.org/10.3390/bs9120155 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Matsuda, Kouhei
Sato, Emi
Classification of Participants Based on Increase–Decrease Rate Model of Reaction Time to Personality Trait Words
title Classification of Participants Based on Increase–Decrease Rate Model of Reaction Time to Personality Trait Words
title_full Classification of Participants Based on Increase–Decrease Rate Model of Reaction Time to Personality Trait Words
title_fullStr Classification of Participants Based on Increase–Decrease Rate Model of Reaction Time to Personality Trait Words
title_full_unstemmed Classification of Participants Based on Increase–Decrease Rate Model of Reaction Time to Personality Trait Words
title_short Classification of Participants Based on Increase–Decrease Rate Model of Reaction Time to Personality Trait Words
title_sort classification of participants based on increase–decrease rate model of reaction time to personality trait words
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960546/
https://www.ncbi.nlm.nih.gov/pubmed/31847352
http://dx.doi.org/10.3390/bs9120155
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