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Computational Personality Assessment
Journal
Personality Science
ISSN
2700-0710
Type
journal article
Date Issued
2021
Author(s)
DOI
Abstract
Computational methods have increased the objectivity of measures of human behavior and positioned personality science to benefit from the ongoing digital revolution. In this review, we define and discuss computational personality assessment (CPA), a measurement process that uses computational technologies to obtain estimates of personality. We briefly review some of the most promising sources of data currently used for CPA: mobile sensing, digital footprints from social media, images, language, and experience sampling. We present a concise overview of key findings, discuss the promise and opportunities of CPA (e.g., moving towards objective measures of personality, obtaining new insights from big data), and highlight important limitations and challenges in the development and application of CPA (e.g., establishing reliability and validity, selecting appropriate ground truth criterion, assessing affect and cognition, implications for ethics and privacy). We conclude with our perspective on how CPA could change our understanding of individual differences.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
Global Center for Customer Insight
Refereed
Yes
Publisher
PsychOpen GOLD
Volume
2
Number
6115
Start page
1
End page
22
Pages
22
Subject(s)
Division(s)
Eprints ID
264524