The Dynamic Difficulty Adjustment of a Neurofeedback-Based Cognitive Game to Make a Help to Treatment of Attention Deficit Hyperactivity Disorder

Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
View: 138

This Paper With 8 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_JRRS-15-1_005

تاریخ نمایه سازی: 4 بهمن 1401

Abstract:

Introduction: Attention deficit hyperactivity disorder (ADHD) is one of the most prevalent neurological disorders among the children and adolescents. Neurofeedback-based exercises, as a new method in non-pharmacological treatments, can help to improve their performance by modifying existing abnormalities in some of the brain frequency bands of these children. The aim of the present study was to develop and design a computer game as a platform for neurofeedback exercises by employing dynamic difficulty adjustment in the game design.Materials and Methods: This study was carried out to evaluate the dynamic difficulty setting in the game and measuring the satisfaction of play with dynamic difficulty versus static difficulty in ۴ sessions on ۶ participants of ۲۰ to ۲۶ years. They graded their experience in each session from ۱-۱۰ depending on the amount of enjoyment. Then, ۲ boys of ۱۲ and ۱۳ years with ADHD participated by playing the game for ۱۰ sessions.Result: There was a significant difference between the participants’ satisfaction with dynamic difficulty versus static difficulty (P = ۰.۰۰۲). Moreover, the game had a positive impact on improving brain function in children with ADHD.Conclusion: The results showed that children were attracted and motivated to use the game for treatment. Adjusting the challenges based on the individual skills maintained the user's motivation from the beginning to the end of the game, and enhanced user’s enjoyment and motivation to continue the therapy.

Keywords:

Attention deficit hyperactivity disorder (ADHD) , Computer games , Neurofeedback , Dynamic difficulty adjustment (DDA)

Authors

مینا مسعودی

Department of Biomedical Engineering, School of Engineering, University of Isfahan, Isfahan, Iran

جواد راستی

Assistant Professor, Department of Biomedical Engineering, School of Engineering, University of Isfahan, Isfahan, Iran

امین مهنام

Associate Professor, Department of Biomedical Engineering, School of Engineering, University of Isfahan, Isfahan, Iran

احمد عابدی

Associate Professor, Department of Psychology of Children with Special Needs, School of Education and Psychology, University of Isfahan, Isfahan, Iran

محمدعلی نظری

Associate Professor, Department of Cognitive Neuroscience, School of Educational Sciences and psychology, University of Tabriz, Tabriz, Iran

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • Dawson P, Guare R. Executive Skills in children and adolescents: ...
  • Zuberer A, Brandeis D, Drechsler R. Are treatment effects of ...
  • Volkow ND, Wang GJ, Newcorn J, Fowler JS, Telang F, ...
  • Jones SR, Gainetdinov RR, Wightman RM, Caron MG. Mechanisms of ...
  • Lubar JF, Shouse MN. EEG and behavioral changes in a ...
  • Lubar J, Swartwood M, Swartwood J, Timmermann D. Quantitative EEG ...
  • Lubar JO, Lubar JF. Electroencephalographic biofeedback of SMR and beta ...
  • Lubar JF. Discourse on the development of EEG diagnostics and ...
  • Clarke AR, Barry RJ, McCarthy R, Selikowitz M. EEG analysis ...
  • Demos JN. Getting started with Neurofeedback. New York, NY: W. ...
  • Van Doren J, Arns M, Heinrich H, Vollebregt MA, Strehl ...
  • Sterman MB, Wyrwicka W, Howe R. Behavioral and neurophysiological studies ...
  • Granic I, Lobel A, Engels RCME. The benefits of playing ...
  • Zohaib M. Dynamic Difficulty Adjustment (DDA) in computer games: A ...
  • Chen J. Flow in games (and everything else). Commun ACM ...
  • Stein A, Yotam Y, Puzis R, Shani G, Taieb-Maimon M. ...
  • Hunicke R. The case for dynamic difficulty adjustment in games. ...
  • van der Pal J, Roos C, Sewnath G. Exploring adaptive ...
  • Chowdhury MI, Katchabaw M. Bringing auto dynamic difficulty to commercial ...
  • Csikszentmihalyi M. Creativity: Flow and the psychology of discovery and ...
  • Shouse MN, Lubar JF. Physiological basis of hyperkinesis treated with ...
  • Monastra VJ, Lynn S, Linden M, Lubar JF, Gruzelier J, ...
  • Vidal JJ. Real-time detection of brain events in EEG. Proceedings ...
  • Jasper HH. Report of the committee on methods of clinical ...
  • نمایش کامل مراجع