CAD ' 22学报,北京,2022年7月11-13日,282-286©2022 CAD Solutions, LLC, http://www.cad-conference.net标题:自动驾驶汽车人机界面用户接受度的视角

Ming Yan, L. Rampino, C. Giandomenico
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引用次数: 0

摘要

自动驾驶技术在过去几年有了很大的发展。但是,要使它得到普遍接受,必须解决几个问题。本文通过文献综述,从交互设计的角度对自动驾驶汽车中人机界面(hmi)对用户接受度作用的现有研究进行了总结。首先,本文回顾了用户与自动驾驶汽车交互方式的根本变化,重点是:(i)车辆控制权在人类驾驶员和人工智能之间的转移;(ii)非驾驶相关任务(NDRTs)的用户体验;(三)公共交通领域的自动驾驶;(iv)外部人机交互对弱势道路使用者的影响。然后,分析了可接受性的概念,描述了现有的用户接受模型。最后,本文探讨了推动对自动驾驶汽车界面设计潜力进行更深入探索的未来挑战,并提出了值得研究的领域,以提高用户对该技术的接受程度。
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Proceedings of CAD’22, Beijing, China, July 11-13, 2022, 282-286 © 2022 CAD Solutions, LLC, http://www.cad-conference.net Title: Perspectives on User’s Acceptance of Human-machine Interface in Autonomous Vehicles
Autonomous driving technology has been significantly developed in the last years. However, several issues must be addressed to make it universally accepted. Through a literature review, this paper summarizes the existing research on the role of human-machine interfaces (HMIs)on users’ acceptance in autonomous vehicles from the perspective of interaction design. First, the paper reviews the fundamental changes in the way users interact with autonomous vehicles focusing on: (i) the transfer of vehicle control between human drivers and artificial intelligence; (ii) the user experience of non-drivingrelated tasks (NDRTs); (iii) autonomous driving in public transportation; (iv) the impact of external HMI on vulnerable road users (VRUs). Then, the paper analyzes the concept of acceptability and describes the existing user acceptance model. Finally, the paper examines the future challenges for promoting a deeper exploration of the potential of autonomous vehicle interfaces design and proposes areas worthy of research to increase the user's acceptance of this technology.
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Proceedings of CAD’22, Beijing, China, July 11-13, 2022, 282-286 © 2022 CAD Solutions, LLC, http://www.cad-conference.net Title: Perspectives on User’s Acceptance of Human-machine Interface in Autonomous Vehicles Enhancing Size Perception with True-Size Viewing CAD plug-in and Cloud-enabled AR APP Design Automation of Lattice-based Customized Orthopedic for Load-bearing Implants Reconfigurable Soft Robots based on Modular Design Operations on Signed Distance Function Estimates
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