Understanding Driver Expectations and Preferences Around Data Transparency in Vehicular Digital Twins

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Abstract

While vehicles become more data-intensive, hardly any studies have systematically examined how drivers of such vehicles perceive the various privacy aspects related to the potential data usage. To address this gap, we present preliminary findings from an online survey of 30 drivers that investigates their expectations and preferences around data transparency in the context of vehicular digital twins (VDTs). We found that privacy aspects related to data access and control are important for potential VDT users, although they expressed uncertainty about their understanding of how the data is collected and used. Nevertheless, participants also showed some tolerance towards data collection and usage if it would potentially have a direct personal benefit. To inform future design of user-centered and privacy-aware VDT interfaces, we conclude that it is relevant to include and further discuss how the expectation of personal benefits might alter or even compromise privacy concerns.

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APA

Demir, C., Leschke, N., Hannibal, G., Akil, M., & Meschtscherjakov, A. (2025). Understanding Driver Expectations and Preferences Around Data Transparency in Vehicular Digital Twins. In Adjunct Conference Proceedings - 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2025 (pp. 227–232). Association for Computing Machinery, Inc. https://doi.org/10.1145/3744335.3758509

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