What You Experience is What We Collect: User Experience Based Fine-Grained Permissions for Everyday Augmented Reality
Melvin Abraham, Mark McGill, Mohamed Khamis
Abstract
Everyday Augmented Reality (AR) headsets pose significant privacy risks, potentially allowing prolonged sensitive data collection of both users and bystanders (e.g. members of the public). While users control data access through permissions, current AR systems inherit smartphone permission prompts, which may be less appropriate for all-day AR. This constrains informed choices and risks over-privileged access to sensors. We propose (N=20) a novel AR permission control system that allows better-informed privacy decisions and evaluate it using five mock application contexts. Our system’s novelty lies in enabling users to experience the varying impacts of permission levels on not only a) privacy, but also b) application functionality. This empowers users to better understand what data an application depends on and how its functionalities are impacted by limiting said data. Participants found that our method allows for making better informed privacy decisions, and deemed it more transparent and trustworthy than state-of-the-art AR and smartphone permission systems taken from Android and iOS. Our results offer insights into new and necessary AR permission systems, improving user understanding and control over data access.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 2cd95c12-9366-4fb9-8358-112c10b23c98Cited by top-tier papers7
- Ad-Blocked Reality: Evaluating User Perceptions of Content Blocking Concepts Using Extended RealityChristopher Katins, Jannis Strecker, Jan Hinrichs, Pascal Knierim et al.CHI 2025 · 17 citations
- Wearable AR in Everyday Contexts: Insights from a Digital Ethnography of YouTube VideosTram Thi Minh Tran, Shane Brown, Oliver Weidlich, Soojeong Yoo et al.CHI 2025 · 13 citations
- Beyond Mute and Block: Adoption and Effectiveness of Safety Tools in Social VR, from Ubiquitous Harassment to Social SculptingMaheshya Weerasinghe, Shaun Alexander Macdonald, Cristina Fiani, Joseph O'Hagan et al.IEEE VR 2025 · 12 citations
- "Just stop doing everything for now!": Understanding security attacks in remote collaborative mixed realityMaha Sajid, Syed Ibrahim Mustafa Shah Bukhari, Bo Ji, Brendan David-JohnIEEE VR 2025 · 7 citations
- Exploring the Design Space of Privacy-Driven Adaptation Techniques for Future Augmented Reality InterfacesShwetha Rajaram, Macarena Peralta, Janet G. Johnson, Michael NebelingCHI 2025 · 7 citations
Builds on16
- An Aligned Rank Transform Procedure for Multifactor Contrast TestsLisa A. Elkin, Matthew Kay, James J. Higgins, Jacob O. WobbrockUIST 2021 · 671 citations
- The Role of Eye Gaze in Security and Privacy Applications: Survey and Future HCI Research DirectionsChristina P. Katsini, Yasmeen Abdrabou, George E. Raptis, Mohamed Khamis et al.CHI 2020 · 167 citations
- The Feasibility of Dynamically Granted Permissions: Aligning Mobile Privacy with User PreferencesPrimal Wijesekera, Arjun Baokar, Lynn Tsai, Joel Reardon et al.S&P 2017 · 156 citations
- Privacy-Enhancing Technology and Everyday Augmented Reality: Understanding Bystanders' Varying Needs for Awareness and ConsentJoseph O'Hagan, Pejman Saeghe, Jan Gugenheimer, Daniel Medeiros et al.UbiComp 2023 · 102 citations
- A privacy-preserving approach to streaming eye-tracking dataBrendan David-John, Diane Hosfelt, Kevin R. B. Butler, Eakta JainIEEE VR 2021 · 89 citations
Related papers
- Erebus: Access Control for Augmented Reality SystemsYoonsang Kim, Sanket Goutam, Amir Rahmati, Arie E. KaufmanUSENIX Security 2023
- Designing Effective Consent Mechanisms for Spontaneous Interactions in Augmented RealityMaximiliane Windl, Petra Zsofia Laboda, Sven MayerCHI 2025 · 6 citations
- Can Systems Explain Permissions Better? Understanding Users' Misperceptions under Smartphone Runtime Permission ModelBingyu Shen, Lili Wei, Chengcheng Xiang, Yudong Wu et al.USENIX Security 2021 · 45 citations
- Why Do You Know That About Me? - Ethical Implications of Pervasive AR And Face RecognitionKushani Tharushika Perera, Nadia Pantidi, Holger RegenbrechtCHI 2026 · 1 citation
- A Large Scale Study of User Behavior, Expectations and Engagement with Android PermissionsWeicheng Cao, Chunqiu Xia, Sai Teja Peddinti, David Lie et al.USENIX Security 2021 · 42 citations
