Physical Interaction and Viewpoint Optimization in Active Video Games: A User Experience and f-Divergence-Based Approach

Abstract

The incorporation of active technologies into video games has fostered the development of new forms of physical interaction, particularly in controlled environments such as treadmills. This thesis analyzes and proposes improvements to the user experience in running applications through exergames, without requiring additional hardware. First, different running applications that combine playful and athletic elements are compared, revealing that video games with narrative structures and interactive incentives elicit higher levels of immersion, competence, and flow than traditional simulators. Subsequently, the gameplay experience is evaluated when using the same exergame on the floor and on a treadmill. The results indicate that treadmill use increases the level of challenge and concentration while maintaining a positive experience in both conditions. Finally, an automatic model for viewpoint selection in three-dimensional environments is introduced, based on divergences from information theory. This approach enhances scene visibility and composition by dynamically and adaptively highlighting key elements. The results of this research contribute new strategies for optimizing both interaction and visualization in active video games, with potential applications in health, physical training, and extended reality.