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Eliciting Security & Privacy-Informed Sharing Techniques for Multi-User Augmented Reality

Published: 19 April 2023 Publication History

Abstract

The HCI community has explored new interaction designs for collaborative AR interfaces in terms of usability and feasibility; however, security & privacy (S&P) are often not considered in the design process and left to S&P professionals. To produce interaction proposals with S&P in mind, we extend the user-driven elicitation method with a scenario-based approach that incorporates a threat model involving access control in multi-user AR. We conducted an elicitation study in two conditions, pairing AR/AR experts in one condition and AR/S&P experts in the other, to investigate the impact of each pairing. We contribute a set of expert-elicited interactions for sharing AR content enhanced with access control provisions, analyze the benefits and tradeoffs of pairing AR and S&P experts, and present recommendations for designing future multi-user AR interactions that better balance competing design goals of usability, feasibility, and S&P in collaborative AR.

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CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
April 2023
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ISBN:9781450394215
DOI:10.1145/3544548
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