Twenty Years of Personality Computing: Threats, Challenges and Future Directions

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Authors: Fabio Celli, Aleksandar Kartelj, Mijan Dordevič, Derwin Suhartono, Vladimir Filipović, V. Milutinovic, Γεώργιος Σπαθούλας, Alessandro Vinciarelli, Michal Kosinski, Bruno Lepri
Cited by: 4
References: 116

Abstract

Personality Computing is a field at the intersection of Personality Psychology and Computer Science. Started in 2005, research in the field utilizes computational methods to understand and predict human personality traits. The expansion of the field has been very rapid and, by analyzing digital footprints (text, images, social media, etc.), it helped to develop systems that recognize and even replicate human personality. While offering promising applications in talent recruiting, marketing and healthcare, the ethical implications of Personality Computing are significant. Concerns include data privacy, algorithmic bias, and the potential for manipulation by personality-aware Artificial Intelligence. This article provides an overview of the field, explores key methodologies, discusses the challenges and threats, and outlines potential future directions for responsible development and deployment of Personality Computing technologies.

Fields of Study & Subjects

Personality Traits and Psychology Digital Mental Health Interventions Mental Health via Writing

Publication details

Journal / source
ACM Computing Surveys
Publisher
Association for Computing Machinery (ACM)
Volume
58
Issue
11
Pages
1–37
Publication date
28 March 2026
Language
EN