Context-Aware Inference and Adaptation: A Framework for Designing Intelligent AR Interfaces

@conference{Davari2022DC,

title = {[DC] Context-Aware Inference and Adaptation in Augmented Reality},

author = {Shakiba Davari },

doi = {DOI 10.1109/VRW55335.2022.00320},

year  = {2022},

date = {2022-03-16},

pages = {938-939},

publisher = {2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)},

abstract = {The recent developments in Augmented Reality (AR) eyeglasses promise the potential for more efficient and reliable information access. This reinforces the widespread belief that AR Glasses are the next generation of personal computing devices, providing efficient information access to the user all day, every day. However, to realize this vision of all-day wearable AR, the AR interface must address the challenges that constant and pervasive presence of virtual content may cause. Throughout the day, as the user's context switches, an optimal all-day interface must adapt its virtual content display and interactions. The optimal interface, that is the most efficient yet least intrusive, in one context may be the worst interface for another context. This work aims to propose a research agenda to design and validate different adaptation techniques and context-aware AR interfaces and introduce a framework for the design of such intelligent interfaces.},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}