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1st Workshop on Understanding Automation: Interfaces that Facilitate User Understanding of Vehicle Automation.

, , , and . AutomotiveUI (adjunct), page 1-8. ACM, (2017)

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The More You Know: Trust Dynamics and Calibration in Highly Automated Driving and the Effects of Take-Overs, System Malfunction, and System Transparency., , , and . Hum. Factors, (2020)Towards a Cooperative Driver-Vehicle Interface: Enhancing Drivers' Perception of Cyclists through Augmented Reality., , and . IV, page 1827-1832. IEEE, (2020)Time to Arrival as Predictor for Uncertainty and Cooperative Driving Decisions in Highly Automated Driving., , , , , , and . IV, page 1048-1053. IEEE, (2022)Ambient Light Conveying Reliability Improves Drivers’ Takeover Performance without Increasing Mental Workload, , , , and . Multimodal Technologies and Interaction, 6 (9): 73 (2022)Exploring Driver Responses to Authoritative Control Interventions in Highly Automated Driving., , , , , and . AutomotiveUI, page 145-155. ACM, (2023)Manipulating Drivers' Mental Workload: Neuroergonomic Evaluation of the Speed Regulation N-Back Task Using NASA-TLX and Auditory P3a., , , , , and . AutomotiveUI (Adjunct Proceedings), page 145-149. ACM, (2023)How to Design Valid Simulator Studies for Investigating User Experience in Automated Driving: Review and Hands-On Considerations., , , , , and . AutomotiveUI, page 105-117. ACM, (2018)Calibration of Trust Expectancies in Conditionally Automated Driving by Brand, Reliability Information and Introductionary Videos: An Online Study., , , and . AutomotiveUI, page 118-128. ACM, (2018)Introducing VAMPIRE - Using Kinaesthetic Feedback in Virtual Reality for Automated Driving Experiments., , , , , and . UI, page 204-214. ACM, (2022)Workshop on Human-Vehicle-Environment Cooperation in Automated driving: The Next Stage of a Classic Topic., , , , and . AutomotiveUI (adjunct), page 200-203. ACM, (2021)