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    Yan, Ming

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    User Acceptance of Autonomous Vehicles: Review and Perspectives on the Role of the Human-machine Interfaces

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    Although autonomous driving has significantly developed in the last years, its acceptance by users is still low, even due to the different interaction modalities between the human agent and Autonomous Vehicles (AVs). Therefore, this paper proposes an analysis of the existing research on the influence of Human-Machine Interfaces (HMIs) on the user acceptance of AVs from the perspective of interaction design. The authors reviewed the fundamental changes in the way users interact with AVs. The paper focuses on the transfer of the vehicle control between the human and the artificial intelligence agent, the user experience of Non-Driving-Related Tasks (NDRTs) and sharing autonomous driving in public transportation, and the impact of external HMI on Vulnerable Road Users (VRUs). In addition, the paper analyzes the concept of acceptability and describes the existing user acceptance models. Finally, the paper explores the future challenges for promoting the design potential of autonomous vehicle HMIs and proposes areas worthy of research to increase the user’s acceptance of this technology

    Towards a 3D Evaluation Dataset for User Acceptance of Automated Shuttles

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    The popularity of automatic driving technology has gradually freed users from driving tasks and increased interaction with vehicles and machines. Understanding user acceptance and making them more receptive to new technologies can help businesses and researchers find better ways to design Human-Machine Interactions. The simulation experiment in an immersion environment can evaluate the user's acceptance of the design with low cost and high efficiency. Fur-ther, the evaluation methods of some existing studies are different, which creates obstacles to the reuse and reference of research results between different scholars. However, there are limited simulation data that can be used for such interactive evaluation, such as typical 3D environment data based on Virtual Reality devices. We design dataset, an ongoing 3D test dataset produced by Unity software, to be employed by different studies to evaluate interaction design for autonomous driving. The physical medium, composition, test participants, and procedure of the 3D environment data are described in this paper.</p
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