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Cited by

• 2016Users’ resistance towards radical innovations: The case of the self-driving car421 cited
• 2019In Automatic We Trust: Investigating the Impact of Trust, Control, Personality Characteristics, and Extrinsic and Intrinsic Motivations on the Acceptance of Autonomous Vehicles252 cited
• 2019A data-driven public sector85 cited
• 2018Data Protection, Artificial Intelligence and Cognitive Services: Is the General Data Protection Regulation (GDPR) ‘Artificial Intelligence-Proof’?64 cited
• 2023Analysis of Australian public acceptance of fully automated vehicles by extending technology acceptance model62 cited
• 2022Let me drive you! The effect of change seeking and behavioral control in the Artificial Intelligence-based self-driving cars37 cited
• 2017Privacy, consent and vehicular ad hoc networks (VANETs)35 cited
• 2020Autonomous vehicles in a GDPR era: An international comparison29 cited
• 2016Autonomous Intelligent Cars on the European Intersection of Liability and Privacy: Regulatory Challenges and the Road Ahead26 cited
• 2017Privacy in automation: An appraisal of the emerging Australian approach20 cited
• 2019When Autonomous Vehicles Are Hacked, Who Is Liable?16 cited
• 2014D-waste: Data disposal as challenge for waste management in the Internet of Things13 cited
• 2021Industry 4.0 an empirical analysis of users’ intention in the automotive sector