Twenty Years of Personality Computing: Threats, Challenges and Future Directions
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 27 of its 314 references that are in the map. First posted on arXiv 3 Mar 2025.
Builds on
27 of 314 references.
References · 27
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15 more
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.