A Mobile VR Input Adaptation Architecture
Mohammed Al-Sada, Shuma Toyama, Tatsuo Nakajima · 2016
Recently, Mobile Virtual Reality (MVR) enclosures are becoming popular due to feasible price and quality. However, interaction in MVR comprises a number of challenges due to the lack of inputs' availability and variety as well as visual occlusion. Thus, we propose an adaptation architecture which enables the utilization of inputs/outputs, embedded in wearables and mobile devices, to interact with MVR contents in a variety of contexts. Our approach consists of two main aspects, context synchronization among MVR and external devices, and adaptive bindings between MVR interaction events and external device's Inputs/Outputs. To evaluate our approach, we implemented our adaptation architecture within two MVR applications. Initial assessment indicated that visual feedback, familiarity of adapted interaction's, and device's input/output attributes impacted the effectiveness of adaptations. Finally, we discuss our future direction.