JMIR Serious Games (May 2023)

Serious Games Based on Cognitive Bias Modification and Learned Helplessness Paradigms for the Treatment of Depression: Design and Acceptability Study

  • Arka Ghosh,
  • Jagriti Agnihotri,
  • Sradha Bhalotia,
  • Bharat Kumar Sati,
  • Latika Agarwal,
  • Akash A,
  • Swastika Tandon,
  • Komal Meena,
  • Shreyash Raj,
  • Yatin Azad,
  • Silky Gupta,
  • Nitin Gupta

DOI
https://doi.org/10.2196/37105
Journal volume & issue
Vol. 11
p. e37105

Abstract

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BackgroundDepression is a debilitating mental health disorder, with a large treatment gap. Recent years have seen a surge in digital interventions to bridge this treatment gap. Most of these interventions are based on computerized cognitive behavioral therapy. Despite the efficacy of computerized cognitive behavioral therapy–based interventions, their uptake is low and dropout rates are high. Cognitive bias modification (CBM) paradigms provide a complementary approach to digital interventions for depression. However, interventions based on CBM paradigms have been reported to be repetitive and boring. ObjectiveIn this paper, we described the conceptualization, design, and acceptability of serious games based on CBM paradigms and the learned helplessness paradigm. MethodsWe searched the literature for CBM paradigms that were shown to be effective in reducing depressive symptoms. For each of the CBM paradigms, we ideated how to create a game so that the gameplay was engaging while the active therapeutic component remained unchanged. ResultsWe developed 5 serious games based on the CBM paradigms and the learned helplessness paradigm. The games include various core elements of gamification, such as goals, challenges, feedback, rewards, progress, and fun. Overall, the games received positive acceptability ratings from 15 users. ConclusionsThese games may help improve the effectiveness and engagement levels of computerized interventions for depression.