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