Computational personality assessment

• DOI: 10.5964/ps.6115
• Publication Date: 2021-07-14T16:02:01Z
• Authors: Clemens Stachl; Ryan L. Boyd; Kai T. Horstmann; Poruz Khambatta; Sandra C. Matz; Gabriella M. Harari
• Keywords: behavior; 05 social sciences; 150; computer science; computational social science; behavioral science; psychological assessment; 004; machine learning; personality; 150 Psychologie; 0501 psychology and cognitive sciences; social sciences

Computational methods have increased the objectivity of measures human behavior and positioned personality science to benefit from ongoing digital revolution. In this review, we define discuss computational assessment (CPA), a measurement process that uses technologies obtain estimates personality. We briefly review some most promising sources data currently used for CPA: mobile sensing, footprints social media, images, language, experience sampling. present concise overview key findings, promise opportunities CPA (e.g., moving towards objective personality, obtaining new insights big data), highlight important limitations challenges in development application establishing reliability validity, selecting appropriate ground truth criterion, assessing affect cognition, implications ethics privacy). conclude with our perspective on how could change understanding individual differences.