Predicting likelihood of psychological disorders in PlayerUnknown's Battlegrounds (PUBG) players from Asian countries using supervised machine learning.

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ID: 66941
2020
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Abstract
Multiplayer Online Battle Arena (MOBA) has become one of the most popular genre of online video games played by gamers worldwide. Previous studies have exhibited that excessive engagement in games can lead to Internet Gaming Disorder (IGD). Internet Gaming Disorder has been associated with psychological disorders like impulsivity, anxiety and Attention Deficit Hyperactivity Disorder (ADHD). In this study, we propose an approach to use the game and player statistics along with self-esteem measure of a PlayerUnknown's Battlegrounds (PUBG, a MOBA game) player to predict whether he/she suffers from IGD and psychological disorders namely ADHD and Generalized Anxiety Disorder (GAD). We extract the game and player statistics of PUBG players from Asian countries and then run several state of the art supervised machine learning models to predict the occurrence of IGD, ADHD, and GAD. Initial experiments and results show that we are able to predict IGD, ADHD, and GAD with an accuracy of 93.18%, 81.81% and 84.9% respectively. Game statistics of PUBG players show strong positive correlation with IGD and ADHD indicating detrimental effects of MOBA games.
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aggarwal2020predictingaddictive Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Aggarwal, Swati;Saluja, Shivin;Gambhir, Varshika;Gupta, Shubhi;Satia, Simrat Pal Singh;
Journal addictive behaviors
Year 2020
DOI
S0306-4603(19)30391-0
URL
Keywords
Machine learning anxiety self-esteem internet gaming disorder attention deficit hyperactivity disorder multiplayer online battle arena

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