Redesigning Privacy with User Feedback: The Case of Zoom Attendee Attention Tracking
Tony W. Li, Arshia Arya, Haojian Jin
Abstract
Software engineers' unawareness of user feedback in earlier stages of design contributes to privacy issues in many products. Although extensive research exists on gathering and analyzing user feedback, there is limited understanding of how developers can integrate users' feedback to improve product designs to meet users' privacy expectations. We use Zoom's deprecated attendee attention tracking feature to explore issues with integrating user privacy feedback into software development, presenting public online critiques about this deprecated feature to 18 software engineers in semi-structured interviews and observing how they redesign this feature. Our results suggest that while integrating user feedback for privacy is potentially beneficial, it's also fraught with challenges of polarized design suggestions, confirmation bias, and scope of perceived responsibility.
• Security and privacy → Usability in security and privacy; • Software and its engineering → Software development techniques; Software design techniques; • Human-centered computing → Empirical studies in HCI .
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 cb0d7207-b49c-4176-812e-39461b3fd7dbCited by top-tier papers3
- How Do HCI Researchers Study Cognitive Biases? A Scoping ReviewNattapat Boonprakong, Benjamin Tag, Jorge Gonçalves, Tilman DinglerCHI 2025 · 19 citations
- PrivacyAkinator: Articulating Key Privacy Design Decisions by Answering LLM-Generated Multiple-choice QuestionsQiyu Li, Yuen Sum Wong, Yuen Kei Wong, Longxuan Yu et al.CHI 2026 · 1 citation
- Teaching Data Science Students to Sketch Privacy Designs Through HeuristicsJinhe Wen, Yingxi Zhao, Wenqian Xu, Yaxing Yao et al.S&P 2025
Builds on7
- Privacy Champions in Software Teams: Understanding Their Motivations, Strategies, and ChallengesMohammad Tahaei, Alisa Frik, Kami VanieaCHI 2021 · 75 citations
- How Developers Talk About Personal Data and What It Means for User Privacy: A Case Study of a Developer Forum on RedditTianshi Li, Elizabeth Louie, Laura Dabbish, Jason I. HongCSCW 2020 · 64 citations
- Recruiting Participants With Programming Skills: A Comparison of Four Crowdsourcing Platforms and a CS Student Mailing ListMohammad Tahaei, Kami VanieaCHI 2022 · 45 citations
- Stuck in the Permissions With You: Developer & End-User Perspectives on App Permissions & Their Privacy RamificationsMohammad Tahaei, Ruba Abu-Salma, Awais RashidCHI 2023 · 36 citations
- Do you really code? Designing and Evaluating Screening Questions for Online Surveys with ProgrammersAnastasia Danilova, Alena Naiakshina, Stefan Horstmann, Matthew SmithICSE 2021 · 5 citations
Related papers
- "We Wanted to Do Better Than the Law": Exploring UI/UX Designers' Privacy Advocacy in PracticeKeyu Yao, Jinghui Cheng, Jin L.C. GuoCSCW 2026
- Is Someone Listening?: Audio-Related Privacy Perceptions and Design Recommendations from Guardians, Pragmatists, and CynicsJulia C. Dunbar, Emily E. Bascom, Ashley Boone, Alexis HinikerUbiComp 2021 · 11 citations
- Navigating the Gray: Design Practitioners' Perceptions Toward the Implementation of Privacy Dark PatternsLeah Zhang-Kennedy, Maxwell Keleher, Michaela ValiquetteCSCW 2024 · 24 citations
- Zoom Obscura: Counterfunctional Design for Video-ConferencingChris Elsden, David J. Chatting, Michael Duggan, Andrew Carl Dwyer et al.CHI 2022 · 16 citations
- Hark: A Deep Learning System for Navigating Privacy Feedback at ScaleHamza Harkous, Sai Teja Peddinti, Rishabh Khandelwal, Animesh Srivastava et al.S&P 2022 · 37 citations
