Publikationen

Ausgewählte Publikationen

Hier finden Sie ausgewählte Publikationen aus den letzten Jahren. Eine ausführliche Liste der Publikationen finden Sie auf der Google Scholar oder DBLP Seite von Stefan Schneegaß.

Art der Publikation: Beitrag in Sammelwerk

The Impact of Bike-Based Controllers and Adaptive Feedback on Immersion and Enjoyment in a Virtual Reality Cycling Exergame

Autor(en):
Keppel, Jonas; Strauss, Marvin; Zhang, Shuoheng; Stroehnisch, Markus; Lewin, Stefan; Gruenefeld, Uwe; Degraen, Donald; Goedicke, David; Matviienko, Andrii; Schneegass, Stefan
Titel des Sammelbands:
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
Verlag:
Association for Computing Machinery
Ort(e):
New York, NY, USA
Veröffentlichung:
2025
ISBN:
9798400713958
Schlagworte:
Exergame, Cycling, Virtual Reality, Sports, Physical Activity, Exertion, Health, Feedback, Controller
Digital Object Identifier (DOI):
doi:10.1145/3706599.3720096
Link zum Volltext:
https://doi.org/10.1145/3706599.3720096
Zitation:
Download BibTeX

Kurzfassung

Cycling exergames can increase enjoyment and promote high energy expenditure, making exercise more engaging and, therefore, supporting healthier lifestyles. To improve player experience in a virtual reality cycling exergame using a stationary bike, we investigated how different input and output techniques affect player engagement. We implemented a bike-based controller integrating button and shoulder-lean steering as input, combined with or without adaptive changes in bike inclination and resistance as output. The results of our study with 24 participants indicate that adaptive modes increase effort and perceived exertion. While button steering provides better pragmatic quality, shoulder-lean steering offers a more hedonic experience but requires more skill and effort. Still, this greater enjoyment fosters higher engagement, particularly when players enter a flow state where the increased physical demands become less noticeable. These findings underscore the potential of bike-based adaptive controllers to maximize player engagement and enhance VR cycling exergame experiences.