Biological Motion as an Intuitive and Inviting Non-Symbolic Communication to Improve Human Interaction with Autonomous Systems
Biological Motion as an Intuitive and Inviting Non-Symbolic Communication to Improve Human Interaction with Autonomous Systems
Shi,Ruisi 1Zhang,Jingyu 1Yang,Yunqi 2Wei, Wei 1Yong, Ai 1Zhang,Liang 1Sun,Xianghong 1Zhang,Yijing 3Chen,Shanguang4
作者信息
- 1. Department of Psychology, University of Chinese Academy of Sciences, Beijing, China;State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- 2. Department for General Psychology and Cognitive Neuroscience, Friedrich Schiller University Jena, Germany
- 3. Department of Industrial Engineering, Tsinghua University, Beijing, China;National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing, China
- 4. Department of Industrial Engineering, Tsinghua University, Beijing, China;National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing, China;China Manned Space Program, Beijing, China
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摘要
In a future where autonomous systems are widespread in the real world, humans must be able to swiftly and accurately interpret the status and intentions of these systems in various contexts. However, existing symbolic-based interactions (such as language and icons) encounter difficulties in addressing the challenges of universality, comprehension, and visibility. This study provides a novel non-symbolic communication framework based on biological motion. Using this framework, we designed a new external human-machine interface (eHMI) to enhance pedestrian understanding and acceptance. Our findings suggest that biological-based eHMI significantly improves comprehension across diverse groups, including children and non-native speakers, enhancing decision-making in street-crossing scenarios and improving motion speed perception.
Abstract
As autonomous vehicles become widespread, pedestrians must rapidly infer vehicle motion and yielding intent. Conventional symbolic eHMIs (e.g., text or icons) are language-dependent, culturally variable, and often difficult to detect in complex traffic scenes. We propose a non-symbolic communication framework based on biological motion, implemented as a point-light external human-machine interface (eHMI). In Study 1a (Chinese adults, N = 32), the bio-motion eHMI improved vehicle-movement comprehension relative to text and achieved comparable intent understanding. These benefits generalized to children aged 59 (Study 1b) and to a different cultural context (Study 1c). Study 2 showed that the bio-motion eHMI elicited earlier reductions in perceived crossing safety in non-yielding scenarios, supporting safer street-crossing decisions. Study 3 demonstrated enhanced detection distance for acceleration and deceleration changes. Overall, biological motion provides an intuitive, engaging, and culturally robust channel for vehicle-pedestrian communication.关键词
Vehicle-Pedestrian Interaction/Autonomous Vehicle/Pedestrian Safety/Biological motion/external Human-Machine InterfaceKey words
Vehicle-Pedestrian Interaction/Autonomous Vehicle/Pedestrian Safety/Biological motion/external Human-Machine Interface引用本文复制引用
Shi,Ruisi,Zhang,Jingyu,Yang,Yunqi,Wei, Wei,Yong, Ai,Zhang,Liang,Sun,Xianghong,Zhang,Yijing,Chen,Shanguang.Biological Motion as an Intuitive and Inviting Non-Symbolic Communication to Improve Human Interaction with Autonomous Systems[EB/OL].(2026-03-10)[2026-03-13].https://chinaxiv.org/abs/202411.00096.学科分类
公路运输工程
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