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Start Date

16-8-2018 12:00 AM

Description

The Big Five personality traits, which provide a guide to the comprehensive assessment of individuals, have been found to be a valid predictor of behavior performance in the athletic context. However, traits have commonly been inferred via self-report questionnaires, which are criticized for reflecting only limited aspects of personality. Numerous studies have shown that human language reflects personality based on the frequency with which certain categories of words are used. Thus, we used an automated language-based measurement of personality and identified important traits of Basketball players - a combination of high conscientiousness and high agreeableness - that may be of significance for our prediction model of individual performance. Our findings are supported by prior research conducted on the prototypical "athletic personality profile". Predicting players' performance would not only further our understanding of competitive behavior in an athletic context but would also facilitate athlete selection and the design of training programs.

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Aug 16th, 12:00 AM

Predicting the Performance of Basketball Players Using Automated Personality Mining

The Big Five personality traits, which provide a guide to the comprehensive assessment of individuals, have been found to be a valid predictor of behavior performance in the athletic context. However, traits have commonly been inferred via self-report questionnaires, which are criticized for reflecting only limited aspects of personality. Numerous studies have shown that human language reflects personality based on the frequency with which certain categories of words are used. Thus, we used an automated language-based measurement of personality and identified important traits of Basketball players - a combination of high conscientiousness and high agreeableness - that may be of significance for our prediction model of individual performance. Our findings are supported by prior research conducted on the prototypical "athletic personality profile". Predicting players' performance would not only further our understanding of competitive behavior in an athletic context but would also facilitate athlete selection and the design of training programs.