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

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.