Speculative Privacy Concerns about AR Glasses Data Collection
Authors: Andrea Gallardo (Carnegie Mellon University), Chris Choy (Carnegie Mellon University), Jaideep Juneja (Carnegie Mellon University), Efe Bozkir (University of Tübingen), Camille Cobb (University of Illinois), Lujo Bauer (Carnegie Mellon University), Lorrie Cranor (Carnegie Mellon University)
Volume: 2023
Issue: 4
Pages: 416–435
DOI: https://doi.org/10.56553/popets-2023-0117
Abstract: As technology companies develop mass market augmented reality (AR) glasses that are increasingly sensor-laden and affordable, uses of such devices pose potential privacy and security problems. Though prior work has broadly addressed some of these problems, our work specifically addresses the potential data collection of 15 data types by AR glasses and five potential data uses. Via semi-structured interviews, we explored the attitudes and concerns of 21 current AR technology users regarding potential data collection and data use by hypothetical consumer-grade AR glasses. Participants expressed diverse concerns and suggested potential limits to AR data collection and use, evoking privacy concepts and informational norms. We discuss how participants’ attitudes and reservations about data collection and use, like definitions of privacy, are varying and context-dependent, and make recommendations for designers and policy makers, including customizable and multidimensional privacy solutions.
Keywords: datasets, neural networks, gaze detection, text tagging
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