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 neurode-velopmental disorders such as Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), or Specific...

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Bibliographic Details
Published inIEEE Consumer Communications and Networking Conference pp. 284 - 289
Main Authors Paolillo, Davide, Corradino, Bryan, Tumedei, Gianni, Benassi, Mariagrazia, Prandi, Catia
Format Conference Proceeding
LanguageEnglish
Published IEEE 06.01.2024
Subjects
Games
Generators
Model Synthesis
Procedural level generator
serious game
SLD
Sociology
Superluminescent diodes
Training
User interfaces
Video games
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ISSN2331-9860
DOI10.1109/CCNC51664.2024.10454803

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Summary: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.
ISSN:2331-9860
DOI:10.1109/CCNC51664.2024.10454803