Titlebook: HCI in Mobility, Transport, and Automotive Systems; 6th International Co Heidi Krömker Conference proceedings 2024 The Editor(s) (if applic

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Impacts of Training Methods and Experience Types on Drivers’ Mental Models and Driving Performancemethods and driving experience significantly affect the formation of mental models. Furthermore, for the scenarios within the training, the difference between training methods would be amplified with the increasing level of scenario urgency. And post-training driving experience would mitigate the di

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Misnomer

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Sinus-Node

Design of a Virtual Assistant: Collect of User’s Needs for Connected and Automated Vehicless, 175 ideas were collected. These propositions were then evaluated in Importance and Innovation with the focus groups sessions. The results tend to show that users’ concerns regarding the assistant increasingly relate to the driver’s well-being, context and environment of the trip, rather than driv

圣人

A Study on the Effects of Different Interaction Modalities on Driving Trust in Automated Vehiclesn-machine trust in the combined audio-visual interaction mode in contrast to voice and visual interactions. Furthermore, visual interaction is more effective in enhancing driver trust than auditory interaction. In visual interaction, the HUD-based visual interaction significantly elevates driver tru

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Investigating the Impact Factors for Trust Analysis of Autonomous Vehiclettitude, perceived usability, perceived ease of use, social influence, perceived intelligence, and behavioral intention; Secondly, the structural equation model was fit-tested using validated factor analysis with structural, convergent, and discriminant validity, and the standardized coefficients of

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