Objective Assessment of Attention-Deficit Hyperactivity Disorder (ADHD) Using an Infinite Runner-Based Computer Game: A Pilot Study.
David Delgado-GómezAaron SújarJuan Ardoy-CuadrosAlejandro Bejarano-GómezDavid AguadoCarolina Miguelez-FernandezHilario Blasco-FontecillaInmaculada Peñuelas-CalvoPublished in: Brain sciences (2020)
In the last few years, several computerized tasks have been developed to increase the objectivity of the diagnosis of attention-deficit hyperactivity disorder (ADHD). This article proposes the "running raccoon" video game to assess the severity of inattention in patients diagnosed with ADHD. Unlike existing tests, the proposed tool is a genuine video game in which the patient must make a raccoon avatar jump to avoid falling into different gaps. The distance to the gap is recorded for each jump. To evaluate the proposed game, an experiment was conducted in which 32 children diagnosed with ADHD participated. For each participant, the median and interquartile range of these distances were calculated, along with the number of omissions. Experimental results showed a significant correlation between the participants' inattention (measured by the Attention-Deficit/Hyperactivity Disorder Symptoms and Normal Behavior rating scale (SWAN) inattention subscale) with each of these three measures. In addition to its accuracy, other benefits are its short duration and the possibility of being run on both standard computers and mobile devices. These characteristics facilitate its acceptance in clinical environments or even its telematic use. The obtained results, together with the characteristics of the video game, make it an excellent tool to support clinicians in the diagnosis of ADHD.
Keyphrases
- attention deficit hyperactivity disorder
- autism spectrum disorder
- working memory
- virtual reality
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- ejection fraction
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- machine learning
- deep learning
- prognostic factors
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- patient reported outcomes
- clinical decision support
- psychometric properties