MovableBag: Exploring Asymmetric Interaction for Multi-user Exergame in Extended Reality
Luis Andres Mendez, Ho Yin Ng, Ping-Hsuan Han
- 发表年份
- 2022
- 引用次数
- 4
- 访问权限
- 开放获取
摘要
Previous research shows that virtual reality (VR) exergames motivate users’ physical activity with immersion and enjoyment. However, it limits the movement for players to perform intense exercises in a small space with a complex tracking setup. In addition, asymmetric interaction of multi-user exergame in the same physical space is also lacking in the discussion in extended reality (XR). So, we present MovableBag, a substitutional robot that can be adapted to multi-user exergames with prop. It also serves as an agent to allow users from the physical world to interact with the VR user to become an XR application. Additionally, a preliminary study has been conducted, and a multi-user boxing exergame is designed to investigate the usage of the work. It also informs future design for more use cases in XR for asymmetric interaction between VR and non-VR users.
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