Research on the Antecedents of Data Privacy Concern Toward Intelligent Connected Vehicles

Depending on Internet of Vehicle (IoV) and on-board units in 5 G, intelligent connected vehicles (ICVs) gradually become the digital infrastructure and data hub to provide personalized in-vehicle infotainment (IVI), which naturally collect, use, and share the data related to users' bio-informatics, travel patterns, and usage habits. The privacy concern (PC) will be generated when using those data services. In this article, we construct the structural equation model (SEM) to study the influencing factors of users' PC and self-disclosure behavior (SD) regarding to ICV data services from the personality traits (PTs) perspective. A total of 481 valid questionnaires from 700 IVI users was collected. Results show that extraversion (EXT), conscientiousness (CNS), neuroticism (NEUR), privacy invasion experience (PIE), and privacy self-efficacy (PE) have significant impacts on PC. Besides, PC does not directly affect SD, but is indirectly affected by limiting profile visibility (LPV). Through revealing the relationship among PTs, PC and SD toward ICV data services, we aim to provide insights for vehicle data governance to facilitate the human-vehicle interaction.