With the integration of an increasing number of driver assistance systems and value-added services in the vehicle, the volume of recorded vehicle and driver data increases significantly. With the networking of the vehicle, the modern automobile thus becomes relevant for data protection. While a discussion on data protection has already begun at expert level, there is still a lack of a substantiated theoretical work on the user perspective.
The aim of the PhD project is to model user acceptance of networked services in the vehicle, taking into account the data protection relevance of networking.
The acceptance of specific networked services is being investigated in several studies with a total of several hundred participants. These studies include both laboratory experiments in the in-house driving simulator and online surveys using specially validated questionnaires.
The result of the PhD project is a validated acceptance model, which allows the identification of relevant influencing factors for the acceptance of networked services in the vehicle. The model can be action-guiding for users and provides a theoretical basis for the scientific context.
Walter, Jonas; Abendroth, Bettina (2020): On the role of informational privacy in connected vehicles: A privacy-aware acceptance modelling approach for connected vehicular services. In: Telematics and Informatics, 2020. DOI: 10.1016/j.tele.2020.101361