Privacy Perceptions in Sensor-Powered Smart Vehicle Cabins

📅 2026-05-07
📈 Citations: 0
Influential: 0
📄 PDF

career value

222K/year
🤖 AI Summary
This study addresses the challenge of divergent privacy expectations between vehicle owners and non-owners in intelligent automotive cabins under multi-user scenarios. Through semi-structured interviews and thematic analysis, it systematically compares how these two user groups perceive privacy in sensor-driven cabin environments, identifying both shared and distinct factors—such as perceived control, transparency of data usage, and identity roles—that shape their privacy preferences. Building on these insights, the work proposes a set of privacy-by-design principles aimed at balancing the often-conflicting needs of multiple occupants. These principles offer both theoretical grounding and practical guidance for the development of privacy-aware intelligent cabin systems that effectively accommodate diverse user roles and expectations.
📝 Abstract
As car cabins evolve with the integration of diverse sensors, traditional car cabins are transforming into smart environments. This shift raises important questions about how privacy is understood and managed in such spaces. In this work, we investigate privacy perceptions from the perspectives of both vehicle owners (i.e., people who purchase and own cars) and non-owners (i.e., people who temporarily use cars, such as family members, friends, or renters). Through semi-structured interviews with eighteen participants, we identified key factors that influence these groups' views on privacy. Our findings reveal factors that commonly influence privacy preferences for both owners and non-owners, as well as factors that have a stronger impact on one group over the other. Drawing on these insights, we discuss design implications for future designs to better support and balance the diverse privacy needs of multiple stakeholders in smart car cabins.
Problem

Research questions and friction points this paper is trying to address.

privacy perceptions
smart vehicle cabins
sensor-powered environments
vehicle owners
non-owners
Innovation

Methods, ideas, or system contributions that make the work stand out.

privacy perceptions
smart vehicle cabins
sensor-powered environments
user interviews
multi-stakeholder design
🔎 Similar Papers
No similar papers found.