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The Potential of Game-Based Digital Biomarkers for Modeling Mental Health.

Regan Lee MandrykMax Valentin Birk
Published in: JMIR mental health (2019)
When people play commercial digital games, they produce significant volumes of high-resolution data that are not only related to play frequency, but also include performance data reflecting low-level cognitive and motor processing; text-based data that are indicative of the affective state; social data that reveal networks of relationships; content choice data that imply preferred genres; and contextual data that divulge where, when, and with whom the players are playing. These data provide a source for digital biomarkers that may indicate mental health. Produced by engaged human behavior, game data have the potential to be leveraged for population screening or prevalence estimations, leading to at-scale, nonintrusive assessment of mental health.
Keyphrases
  • mental health
  • electronic health record
  • big data
  • high resolution
  • endothelial cells
  • data analysis
  • risk assessment
  • gene expression
  • risk factors
  • genome wide
  • deep learning
  • drug induced
  • virtual reality