On developing a procedural level generator based on the Model Synthesis algorithm in the context of serious games
Davide Paolillo, Bryan Corradino, Gianni Tumedei, Mariagrazia Benassi, Catia Prandi · 2024
In clinical practice, the use of cognitive training based on video games and gamification strategies is becoming increasingly widespread, especially for populations with neurode-velopmental 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.