Evaluating Users’ Perceptions about a System’s Privacy: Differentiating Social
summary
Develops and validates a 27‑item UPSP scale from three online studies (n=1,313) that separates users’ perceived system privacy into institutional, social, and risk factors, then uses A/B comparisons across five app scenarios (10 conditions) to test design sensitivity. Finds clear differentiation for social privacy designs but no reliable differences for institutional cases, offers an A/B testing web tool for researchers, and discusses weak privacy affordances and scale sensitivity as explanations.
AI-written summary · about
chapters (10)
- 0:00Start
- 0:24Privacy by Design (PbD)
- 1:17PbD calls to protect the individuals
- 5:19Research Objectives
- 5:49Study Design
- 7:42Using the Scale to A/B Test Privacy
- 9:09Social Privacy Aspect
- 9:59Institutional Privacy Aspect
- 10:36Scenarios and Design Versions
- 14:13A/P(rivacy) Testing
related talks
11mEvaluating the Usability of Privacy Choice Mechanisms
05mComparing Security and Privacy Attitudes Among U.S. Users of Different Smartphone and
10mEvaluating Privacy Perceptions, Experience, and Behavior of Software Development Teams
15mTurning Privacy Risk Assessment Into 20 Questions for Developers
14mData Privacy and Pluralistic Ignorance
13mTrust-Enabled Privacy: Social Media Designs to Support Adolescent User Boundary...
11mCreating Effective Labels
01h 14mPerspective: Achieving Meaningful Privacy in Technology and Design