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

Kouhei Matsuda1, Emi Sato2

  • 1Department of Human Welfare, Tohoku Bunkyo Collage, Yamagata 990-2316, Japan.

Behavioral Sciences (Basel, Switzerland)
|December 19, 2019
PubMed
Summary
This summary is machine-generated.

This study shows personality can be measured using reaction time (RT) to trait words. The stimulus reaction time (sRT) model effectively classified participants into innovative or obedient clusters based on intraindividual differences.

Keywords:
cluster analysispersonalityreaction timetrait wordsvariation rate

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Area of Science:

  • Psychology
  • Cognitive Science
  • Physiology

Background:

  • Personality assessment traditionally relies on self-report inventories.
  • Reaction time (RT) offers a potential objective measure of cognitive and emotional processes.
  • Understanding intraindividual variability in RT is crucial for accurate personality profiling.

Purpose of the Study:

  • To investigate the potential of using reaction time (RT) to personality trait words for personality classification.
  • To explore the utility of the stimulus reaction time (sRT) model in differentiating personality types.
  • To correlate RT-based classifications with physiological and psychological measures.

Main Methods:

  • Participants' reaction times (RT) to personality trait words were measured.
  • The stimulus reaction time (sRT) model was employed to analyze intraindividual differences in RT.
  • Physiological measures (salivary amylase, hemoencephalography - HEG) and the Big Five personality inventory were used for verification.

Main Results:

  • Participants were successfully classified into two hierarchical clusters: innovative/dominant and obedient/conservative.
  • Cluster 2 (obedient/conservative) exhibited reduced stress responses and higher conscientiousness.
  • Cluster 1 (innovative/dominant) showed decreased HEG and increased amylase, alongside a negative attitude during RT measurement.

Conclusions:

  • Personality traits can be classified using reaction time (RT) measurements.
  • The stimulus reaction time (sRT) model, considering intraindividual differences, provides a valid index for personality classification.
  • RT-based personality classification correlates with distinct physiological and psychological profiles.