Computational Personality Assessment

Item Type Journal paper
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.
Authors Stachl, Clemens; Boyd, R. L.; Khambatta, P.; Matz, S. C. & Harari, G. M.
Journal or Publication Title Personality Science
Language English
Subjects computer science
social sciences
behavioral science
HSG Classification contribution to scientific community
HSG Profile Area Global Center for Customer Insight
Refereed Yes
Date 2021
Publisher PsychOpen GOLD
Volume 2
Number 6115
Page Range 1-22
Number of Pages 22
ISSN 10.5964
Publisher DOI
Official URL
Depositing User Lucy Seiler
Date Deposited 07 Oct 2021 10:24
Last Modified 01 Nov 2021 11:35


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Stachl, Clemens; Boyd, R. L.; Khambatta, P.; Matz, S. C. & Harari, G. M. (2021) Computational Personality Assessment. Personality Science, 2 (6115). 1-22. ISSN 10.5964

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