Regaining Trust: Impact of Transparent User Interface Design on Acceptance of Camera-Based In-Car Health Monitoring Systems
Hauke Sandhaus, Madiha Zahrah Choksi, Wendy Ju
TL;DR
This paper tackles privacy barriers to camera-based in-car health monitoring by testing whether transparent, multi-step onboarding improves user acceptance. In an online study with 42 participants, it compares three onboarding designs (Terms of Use, Business Nudge, Transparent Walk-Through) and three live-view conditions, using UEQ-based measures to assess creepiness, usability, trust, and data-use perceptions. Results show that Transparent Walk-Through onboarding substantially reduces creepiness and enhances trust in data use and content, without adding onboarding time, while live-view variations have limited impact on trust. The work provides actionable guidance for privacy-by-design in automotive sensing and highlights the importance of clear, user-centered explanations and controls for data collection and usage.
Abstract
Introducing in-car health monitoring systems offers substantial potential to improve driver safety. However, camera-based sensing technologies introduce significant privacy concerns. This study investigates the impact of transparent user interface design on user acceptance of these systems. We conducted an online study with 42 participants using prototypes varying in transparency, choice, and deception levels. The prototypes included three onboarding designs: (1) a traditional Terms and Conditions text, (2) a Business Nudge design that subtly encouraged users to accept default data-sharing options, and (3) a Transparent Walk-Through that provided clear, step-by-step explanations of data use and privacy policies. Our findings indicate that transparent design significantly affects user experience measures, including perceived creepiness, trust in data use, and trustworthiness of content. Transparent onboarding processes enhanced user experience and trust without significantly increasing onboarding time. These findings offer practical guidance for designing user-friendly and privacy-respecting in-car health monitoring systems.