Context-Aware Based Mobile Augmented Reality Browser and its Optimization Design

Yi Lin, Yue Liu, Yongtian Wang

Abstract: The latest research shows that despite user’s increasing interests in the Augmented Reality service, its usage frequency is low and the usage time is short. The intrinsic reason lies in its ignorance of human factors, which causes the design defect in the design stage of Augmented Reality browsers. In order to improve the quality of user experience, this paper introduces the design and optimization of a mobile Augmented Reality browser system by adopting the concept of context-aware service pushing based on scene classification, and proposes a novel interactive mode which combines Virtual Reality and Augmented Reality (AR/VR) on the basis of mental model theory. The whole design flow is verified by the design of the AR/VR hybrid interface. Experimental result shows that the proposed system of adopting hybrid interactive mode based on context-aware frameworks can not only increase the user acceptance of Augmented Reality browser, but also significantly improve quality of experiences of human-computer interaction.