Twenty Years of Personality Computing: Threats, Challenges and Future Directions
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 paper 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.
Authors
- Vladimir Filipović (ORCID: https://orcid.org/0000-0002-5943-8037)
- Fabio Celli (ORCID: https://orcid.org/0000-0002-7309-5886)
- V. Milutinovic
- Alessandro Vinciarelli (ORCID: https://orcid.org/0000-0002-9048-0524)
- Derwin Suhartono (ORCID: https://orcid.org/0000-0002-3271-5874)
- Aleksandar Kartelj (ORCID: https://orcid.org/0000-0001-9839-6039)
- Georgios Spathoulas
- Bruno Lepri
- Mijan Dordevič
- Michal Kosinski
Institutions
- Magna International (Germany) (DE)
- Binus University (ID)
- Norwegian University of Science and Technology (NO)
- Fondazione Bruno Kessler (IT)
- University of Belgrade (RS)
- University of Glasgow (GB)
- Stanford University (US)
Publication Details
- Journal
- ACM Computing Surveys
- Published
- 2026-03-28
- DOI
- https://doi.org/10.1145/3806009
- Primary Topic
- Personality Traits and Psychology
- Type
- article
- Field-Weighted Citation Impact
- 0.00