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Designing Effective Consent Mechanisms for Spontaneous Interactions in Augmented Reality

MCML Authors

Abstract

Ubiquitous computing devices like Augmented Reality (AR) glasses allow countless spontaneous interactions – all serving different goals. AR devices rely on data transfer to personalize recommendations and adapt to the user. Today’s consent mechanisms, such as privacy policies, are suitable for long-lasting interactions; however, how users can consent to fast, spontaneous interactions is unclear. We first conducted two focus groups (N=17) to identify privacy-relevant scenarios in AR. We then conducted expert interviews (N=11) with co-design activities to establish effective consent mechanisms. Based on that, we contribute (1) a validated scenario taxonomy to define privacy-relevant AR interaction scenarios, (2) a flowchart to decide on the type of mechanisms considering contextual factors, (3) a design continuum and design aspects chart to create the mechanisms, and (4) a trade-off and prediction chart to evaluate the mechanism. Thus, we contribute a conceptual framework fostering a privacy-preserving future with AR.

inproceedings


CHI 2025

Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025.
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A* Conference

Authors

M. Windl • P. Z. Laboda • S. Mayer

Links

DOI

Research Area

 C5 | Humane AI

BibTeXKey: WLM+25

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