On developing a procedural level generator based on the Model Synthesis algorithm in the context of serious games

In clinical practice, the use of cognitive training based on video games and gamification strategies is becoming increasingly widespread, especially for populations with neurodevelopmental disorders such as Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), or Specific Learning Disorders (SLDs). This paper aims to present Eye-Riders, a serious game for enhancing executive functions, targeting children with specific learning disabilities. In particular, in this paper, we focus on describing the design of a procedural level generator based on the Model Synthesis algorithm that we developed to address cognitive training exploiting in the Eye-Riders game.