Design Process of a Self Adaptive Smart Serious Games Ecosystem
Tao, X., Chen, P., Tsami, M., Khayati, F., Eckert, M.
–arXiv.org Artificial Intelligence
Abstract--This paper outlines the design vision and planned evolution of Blexer v3, a modular and AI-driven rehabilitation ecosystem based on serious games. Building on insights from previous versions of the system, we propose a new architecture that aims to integrate multimodal sensing, real-time reasoning, and intelligent control. The envisioned system will include distinct modules for data collection, user state inference, and gameplay adaptation. Key features such as dynamic difficulty adjustment (DDA) and procedural content generation (PCG) are also considered to support personalized interventions. We present the complete conceptual framework of Blexer v3, which defines the modular structure and data flow of the system. This serves as the foundation for the next phase: the development of a functional prototype and its integration into clinical rehabilitation scenarios. Video games have evolved significantly since their inception in the 1960s, becoming a cultural force in the late 1980s and early 1990s [1]. With the growth of the videogame industry, games have expanded into fields such as education, military, and healthcare, known as Serious Games (SGs) [2]. In healthcare, SGs have shown promise in screening [3] and rehabilitation [4].
arXiv.org Artificial Intelligence
Oct-7-2025
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- Research Report > Experimental Study (0.46)
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