{"title":"Using Machine Learning to Advance Personality Assessment and Theory.","authors":"Wiebke Bleidorn, Christopher James Hopwood","doi":"10.1177/1088868318772990","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":48386,"journal":{"name":"Personality and Social Psychology Review","volume":null,"pages":null},"PeriodicalIF":7.7000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1088868318772990","citationCount":"135","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Personality and Social Psychology Review","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/1088868318772990","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2018/5/23 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PSYCHOLOGY, SOCIAL","Score":null,"Total":0}
引用次数: 135
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.
期刊介绍:
Title: Personality and Social Psychology Review (PSPR)
Journal Overview:
Official journal of SPSP, the Society for Personality and Social Psychology, Inc.
Premiere outlet for original theoretical papers and conceptual review articles in all areas of personality and social psychology
Features stimulating conceptual pieces identifying new research directions and comprehensive review papers providing integrative frameworks for existing theory and research programs
Topics Covered:
Attitudes and Social Cognition: Examines the inner workings of the human mind in understanding, evaluating, and responding to the social environment
Interpersonal and Group Processes: Explores patterns of interaction and interdependence characterizing everyday human functioning
Intergroup Relations: Investigates determinants of prejudice, conflict, cooperation, and harmonious relationships between social groups
Personality and Individual Differences: Focuses on causes, assessment, structures, and processes giving rise to human variation
Biological and Cultural Influences: Studies the biological and cultural mediation of social psychological and personality processes