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

622 Downloads (Pure)


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
Pages (from-to)16-22
Publication statusPublished - 1 Jun 2018


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


Dive into the research topics of 'Phone-based metric as a predictor for basic personality traits'. Together they form a unique fingerprint.

Cite this