Supplematary material for "Quo-vadis multi-agent automotive research"

Supplementary material for the paper Bazilinskyy, Pavlo, Walker, Francesco, Dey, Debargha, Tran, Tram T. M., Park, Hyungchai, Kim, Hyochang, Kang, Hyunmin, &amp; Ebel, Patrick (2025), Quo-vadis multi-agent automotive research? Insights from a participatory workshop and questionnaire, Adjunct Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutoUI), Brisbane, QLD, Australia.<br>Abstract: The transition to mixed-traffic environments that involve automated vehicles, manually operated vehicles, and vulnerable road users presents new challenges for human-centered automotive research. Despite this, most studies in the domain focus on single-agent interactions. This paper reports on a participatory workshop (N = 15) and a questionnaire (N = 19) conducted during the AutomotiveUI '24 conference to explore the state of multi-agent automotive research. The participants discussed methodological challenges and opportunities in real-world settings, simulations, and computational modeling. Key findings reveal that while the value of multi-agent approaches is widely recognized, practical and technical barriers hinder their implementation. The study highlights the need for interdisciplinary methods, better tools, and simulation environments that support scalable, realistic, and ethically informed multi-agent research.

本文件为Bazilinskyy, Pavlo、Walker, Francesco、Dey, Debargha、Tram, Tram T. M.、Park, Hyungchai、Kim, Hyochang、Kang, Hyunmin与Ebel, Patrick（2025）所著论文《何去何从：多智能体汽车研究？来自参与式研讨会与问卷调研的洞察》的补充材料，该论文收录于第17届国际汽车用户界面与交互式车载应用大会（AutoUI）附属会议论文集，举办地为澳大利亚昆士兰州布里斯班。
摘要：面向包含自动驾驶车辆、人工驾驶车辆与弱势道路使用者的混合交通环境转型，给以人为中心的汽车研究带来了全新挑战。尽管如此，该领域绝大多数现有研究仍聚焦于单智能体交互场景。本论文汇报了在AutoUI '24大会期间开展的一项参与式研讨会（样本量N=15）与问卷调查（样本量N=19），旨在探究多智能体（multi-agent）汽车研究的发展现状。参会者围绕真实场景、仿真环境与计算建模领域内的方法学挑战与发展机遇展开了讨论。核心研究结果显示，尽管多智能体方法的应用价值已获得广泛认可，但实际落地仍受限于各类实践与技术壁垒。本研究强调，当前亟需跨学科研究方法、更完善的工具与仿真环境，以支撑具备可扩展性、真实性且符合伦理规范的多智能体汽车研究。