Journal
JOURNAL OF RESEARCH IN PERSONALITY
Volume 74, Issue -, Pages 16-22Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jrp.2017.12.004
Keywords
Predicting personality; Big Five personality traits; Phone-based metrics; Human dynamics
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Funding
- University of Copenhagen, UCPH 2016 Excellence Programme for Interdisciplinary Research
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Basic personality traits are believed to be expressed in, and predictable from, smart phone data. We investigate the extent of this predictability using data (n = 636) from the Copenhagen Network Study, which to our knowledge is the most extensive study concerning smartphone usage and personality traits. Based on phone usage patterns, earlier studies have reported surprisingly high predictability of all Big Five personality traits. We predict personality trait tertiles (low, medum, high) from a set of behavioral variables extracted from the data, and find that only extraversion can be predicted significantly better (35.6%) than by a null model. Finally, we show that the higher predictabilities in the literature are likely due to overfitting on small datasets. (C) 2018 The Authors. Published by Elsevier Inc.
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