The article presents findings on utilizing computational design methodologies to enhance user interaction performance in video games with varied input device characteristics. It emphasizes the significance of user performance during the design of new control devices and introduces a probabilistic model for analyzing low-level user behavior. This model allows real-time adaptation to gameplay based on performance metrics. The research combines fieldwork and experimental studies, aiming to provide practical strategies for creating user-centric interactive systems, especially relevant in rehabilitation settings.
Our research demonstrates that integrating computational models in the design of interaction systems significantly enhances control performance, particularly for rehabilitation applications.
We believe that investigating user behavior through probabilistic models is essential to customize gaming experiences, allowing for better adaptation to individual user needs.
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