Phone-based metric as a predictor for basic personality traits

Bjarke Mønsted*, Anders Mollgaard, Joachim Mathiesen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

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.

Original languageEnglish
JournalJournal of Research in Personality
Volume74
Pages (from-to)16-22
ISSN0092-6566
DOIs
Publication statusPublished - 1 Jun 2018

Keywords

  • Big Five personality traits
  • Human dynamics
  • Phone-based metrics
  • Predicting personality

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