Long-Term Feedback Mechanisms for Robotic Assisted Indoor Cycling Training
Sebastian Schneider, Luise Süssenbach, Ingmar Berger, Franz Kümmert
- 发表年份
- 2015
- 引用次数
- 6
摘要
We present a concept for long-term feedback during robot assisted indoor cycling training. Our feedback model captures different aspects from sport motivation theory. Furthermore, we present our designed measurements to evaluate the robot's persuasiveness and user's compliance. We conducted an intensive 18-day isolation study in two campaigns (e.g. socially assistive robot vs. display instructed, n=16) in cooperation with the German Aerospace Center. The results show that users tend to comply to the robot's instructions and that there is a significant difference in compliance between the two conditions.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991