Coming In! Communicating Lane Change Intent in Autonomous Vehicles

IF 4.2 Q2 ROBOTICS

ACM Transactions on Human-Robot Interaction Pub Date : 2023-03-13 DOI:10.1145/3568294.3580113

Seong Hee Lee, Nicholas Britten, Avram Block, A. Pandya, Malte F. Jung, Paul Schmitt

引用次数: 1

Abstract

Lane changes of autonomous vehicles (AV) should not only succeed in making the maneuver but also provide a positive interaction experience for other drivers. As lane changes involve complex interactions, identification of a set of behaviors for autonomous vehicle lane change communication can be difficult to define. This study investigates different movements communicating AV lane change intent in order to identify which effectively communicates and positively affects other drivers' decisions. We utilized a virtual reality environment wherein 14 participants were each placed in the driver's seat of a car and experienced four different AV lane change signals. Our findings suggest that expressive lane change behaviors such as lateral movement have high levels of legibility at the cost of high perceived aggressiveness. We propose further investigation into how balancing key parameters of lateral movement can balance in legibility and aggressiveness that provide the best AV interaction experience for human drivers

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进来!自动驾驶汽车的变道意图沟通

自动驾驶汽车(AV)的变道不仅要成功地进行机动，还要为其他驾驶员提供积极的交互体验。由于变道涉及复杂的相互作用，很难确定自动驾驶汽车变道通信的一系列行为。本研究调查了不同的自动驾驶汽车变道意图，以确定哪些动作能有效地沟通并积极影响其他司机的决定。我们利用了一个虚拟现实环境，其中14名参与者每人坐在一辆汽车的驾驶座上，体验四种不同的自动驾驶变道信号。我们的研究结果表明，表达性变道行为，如横向移动，具有高水平的易读性，以高感知攻击性为代价。我们建议进一步研究如何平衡横向运动的关键参数来平衡易读性和攻击性，从而为人类驾驶员提供最佳的自动驾驶交互体验

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence

CiteScore

7.70

自引率

5.90%

发文量

期刊介绍： ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain. THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.