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Using Machine Learning to Advance Personality Assessment and Theory.
Personality and Social Psychology Review ( IF 7.7 ) Pub Date : 2018-05-23 , DOI: 10.1177/1088868318772990
Wiebke Bleidorn 1 , Christopher James Hopwood 1
Affiliation  

Machine learning has led to important advances in society. One of the most exciting applications of machine learning in psychological science has been the development of assessment tools that can powerfully predict human behavior and personality traits. Thus far, machine learning approaches to personality assessment have focused on the associations between social media and other digital records with established personality measures. The goal of this article is to expand the potential of machine learning approaches to personality assessment by embedding it in a more comprehensive construct validation framework. We review recent applications of machine learning to personality assessment, place machine learning research in the broader context of fundamental principles of construct validation, and provide recommendations for how to use machine learning to advance our understanding of personality.

中文翻译:

使用机器学习来推进人格评估和理论。

机器学习导致了社会上的重要进步。机器学习在心理学中最激动人心的应用之一就是开发了可以有效预测人类行为和人格特质的评估工具。到目前为止,用于个性评估的机器学习方法已集中在社交媒体和其他数字记录与已建立的个性测度之间的关联上。本文的目的是通过将机器学习方法嵌入到更全面的构造验证框架中来扩大其潜力。我们回顾了机器学习在人格评估中的最新应用,将机器学习研究置于结构验证基本原理的更广泛范围内,
更新日期:2020-04-21
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