Rethinking Data Minimization from a User-Centered Approach: A Paradigm Shift
summary
Study of 30 EU/UK users in the web search context shows concrete gaps: users perceive Google as lacking minimization, they’re often more willing to share data to help others than to improve their own results, and they judge necessity by recency and query type. Participants produce five design themes—sensitivity-based prompts, fine-grain sliders for data type and volume, visualization of necessity, separation for searching for others—and propose a sandbox to test trade-offs between data amount and search quality.
AI-written summary · about
chapters (8)
- 0:00Data minimization challenges
- 2:44User-centered approach
- 3:50User perceptions of search engines
- 5:17Factors in data sharing
- 6:21User-designed concepts
- 9:58Validating designs and frameworks
- 11:44Decentralized governance
- 12:49Conclusion & Q&A
related talks
01h 13mData minimization vs personalized computing experiences.
47mDesigning for User-Centered Privacy
19mThe Person Behind The Data: Real Consumer Perspectives On Data Privacy And Business Data Practices
37mThe balance between data privacy and user experience
39mQ&A session -- The Big Data Paradox public lecture
29mAnti-Privacy Anti-Patterns
01h 04mAcademic sessions privacy and surveillance
19mBeing Intentional: AB Testing and Data Minimization