Leveraging Grammarware for Active Video Game Development

This paper presents a grammarware-based approach to developing active video games (AVGs) for sensor-driven training systems. The GCGame domain-specific language (DSL) is introduced to define game logic, sensor interactions, and timing behavior formally. This approach ensures cross-platform consistency, supports real-time configurability, and simplifies the integration of optimization and visualization tools. The presented system, called GCBLE, serves as a case study, demonstrating how grammarware enhances modularity, maintainability, and adaptability in real-world physical interaction applications. The results highlight the potential of a DSL-driven design to bridge the gap between developers and domain experts in embedded interactive systems.

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Publication Details

Journal
Applied Sciences
Published
2025-04-11
DOI
https://doi.org/10.3390/app15084253
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
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article

Leveraging Grammarware for Active Video Game Development

Miha Ravber, Matej Črepinšek, Tomaž Kosar, Marjan Mernik et al.
Applied Sciences
Artificial Intelligence in Games
article

Leveraging Grammarware for Active Video Game Development

Miha Ravber, Matej Črepinšek, Tomaž Kosar, Marjan Mernik, Matej Moravec
article en

Abstract

This paper presents a grammarware-based approach to developing active video games (AVGs) for sensor-driven training systems. The GCGame domain-specific language (DSL) is introduced to define game logic, sensor interactions, and timing behavior formally. This approach ensures cross-platform consistency, supports real-time configurability, and simplifies the integration of optimization and visualization tools. The presented system, called GCBLE, serves as a case study, demonstrating how grammarware enhances modularity, maintainability, and adaptability in real-world physical interaction applications. The results highlight the potential of a DSL-driven design to bridge the gap between developers and domain experts in embedded interactive systems.

Applied SciencesVol. 15(8)
University of Maribor (SI)
Openalex Percentile: Top 97%
Artificial Intelligence in Games
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