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利用机器学习推进人格评估与理论。

Using Machine Learning to Advance Personality Assessment and Theory.

机构信息

1 University of California, Davis, USA.

出版信息

Pers Soc Psychol Rev. 2019 May;23(2):190-203. doi: 10.1177/1088868318772990. Epub 2018 May 23.

Abstract

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.

摘要

机器学习在社会中取得了重要的进展。机器学习在心理科学中的一个最令人兴奋的应用是开发能够有力地预测人类行为和个性特征的评估工具。到目前为止,机器学习在个性评估方面的方法主要集中在社交媒体和其他数字记录与既定个性测量之间的关联上。本文的目的是通过将机器学习方法嵌入更全面的结构验证框架来扩大其在个性评估中的潜力。我们回顾了机器学习在个性评估中的最新应用,将机器学习研究置于结构验证基本原则的更广泛背景下,并就如何使用机器学习来增进我们对个性的理解提供了建议。

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