Professor Andrew Przybylski

Andrew Przybylski is the Director of Research at the OII. He applies psychological models and motivational theory to study how people interact with virtual environments including video games and social media.


Tel: +44 (0)1865 287230

Andrew Przybylski is an experimental psychologist based at the Oxford Internet Institute. Since 2005 his research has focused on applying motivational theory to understand the universal aspects of video games and social media that draw people in, the role of game structure and content on human aggression, and the factors that lead to successful versus unsuccessful self-regulation of gaming contexts and social media use.

Selected Publications

Przybylski, A.K., Weinstein, N. and Murayama, K. (2017) Internet Gaming Disorder: Investigating the Clinical Relevance of a New Phenomenon., Am J Psychiatry. 174 (3) 230-236.

Przybylski, A.K. and Weinstein, N. (2017) A Large-Scale Test of the Goldilocks Hypothesis., Psychol Sci. 28 (2) 204-215.

Przybylski, A.K., and Weinstein, N. (2016) How we see electronic games. Peer J.

Bell, V., Bishop, D.V.M., Przybylski, A.K. (2015) Editorial. The debate over digital technology and young people. BMJ 2015; 351 doi:

Przybylski, A. K. (2014) Electronic Gaming and Psychosocial Adjustment. Pediatrics, 134(3), 1-7. doi: 10.1542/peds.2013-4021.

Przybylski, A.K., Deci, E.L., Rigby, C.S., and Ryan, R. M. (2014) Competence-impeding electronic games and players’ aggressive feelings, thoughts, and behaviors. Journal of Personality and Social Psychology 106 (3) 441-457.

Areas of Interest for Doctoral Supervision

Psychology, digital games, virtual environments

Research interests

psychology, human motivation, video games, virtual environments

Positions held at the OI

  • Associate Professor, July 2017 –
  • Senior Research Fellow, January 2017 – 

  • Research Fellow, September 2013 – December 2016

Latest blog posts

Current projects

Past projects


Journal articles

  • Digital Social Research: Methods Core

    This course provides students with the opportunity to engage with the methodological, ethical and philosophical underpinnings of quantitative and qualitative social science research practices.

  • Digital Social Research: Statistics Core

    This course introduces students to statistics for the social sciences, with an emphasis on application to research on the Internet and society.

  • Experimental Approaches

    This course will prepare students to interpret and practice the experimental method, an increasingly important area of social science research in general, as well as design of policy.