We present a study of selection techniques for low-cost mobile VR devices, such as Google Cardboard, using the outward facing camera on modern smartphones. We compared three selection techniques, air touch, head ray, and finger ray. Initial evaluation indicates that hand-based selection (air touch) was the worst. A ray cast using the tracked finger position offered much higher selection performance. Our results suggest that camera-based mobile tracking is feasible with ray-based techniques.

Additional Metadata
Keywords Google cardboard, Human-centered computing, Mobile VR, Pointing, Selection, Virtual reality
Persistent URL dx.doi.org/10.1109/VR.2019.8797772
Conference 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019
Citation
Luo, S. (Siqi), & Teather, R. (2019). Camera-based selection with cardboard HMDs. In 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings (pp. 1066–1067). doi:10.1109/VR.2019.8797772