Model for Automatic Generation of Difficulty Curves in Digital Games

This paper presents a model for the generation of difficulty curves adaptive to the user's context. From studies on Flow theory combined with difficulty curves, element of digital game development process, mathematical models and previous data were used to create an adaptive difficulty curve ba...

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Bibliographic Details
Published in:Revista IEEE América Latina 2022-09, Vol.20 (9), p.2123-2130
Main Authors: Correa, Saulo Marcos, Dos Santos, Paulo Ricardo, Cerqueira, Bernardo Benites, Mossmann, Joao Batista, Barbosa, Debora Nice Ferrari
Format: Article
Language:English
Subjects:
Adaptation models
Computer & video games
Difficulty Curves
Digital Games
Flow theory
Games
Iron
Irrigation
Mathematical models
Postal services
Predictive models
Software
Statistical analysis
User Experience
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Summary:This paper presents a model for the generation of difficulty curves adaptive to the user's context. From studies on Flow theory combined with difficulty curves, element of digital game development process, mathematical models and previous data were used to create an adaptive difficulty curve based on user performance. It was used a research developed digital game as a case study, The Incredible Adventures of Apollo and Rosetta in the Space, which provided previous user data to perform the statistical analysis. Through the applied study, it is proposed the Difficulty Curves Generator Model (DCGM) for the generation of adaptive difficulty curves in digital games. Different approaches were used, and the final results demonstrated via simulation of the DCGM the ability of the generator to predict and adjust the game level for the player to experience, by calculating the relation between difficulty and player performance, aimed and focused in the Flow state.
ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2022.9878167