研究清洁机器人在公共空间中如何影响行人行为,发现移动模式比行人是否分心更重要。
Assessing Pedestrian Behavior Around Autonomous Cleaning Robots in Public Spaces: Findings from a Field Observation
- 通过实地观察分析机器人类型和运动模式对行人行为的影响。
- 8%行人使用手机分心,但其行为与未分心者无显著差异。
- 矩形偏移路径导致更多近距离侧向避让,适合优化人机交互设计。
随着自主机器人在公共场所日益普及,与普通行人之间的偶发相遇愈发频繁。为降低潜在冲突风险,机器人需具备提升瞬时透明度的沟通策略。该研究考察了机器人类型与运动模式对分心与未分心行人的行走行为影响。在真实场景中,对498名未察觉的行人进行录像记录。其中约8%正在使用智能手机分心。结果显示,分心与否的行人,在机器人周围的行为并无显著差异;但大型清扫机器人与矩形偏移运动模式显著增加了侧向调整次数,且矩形路径导致更频繁的近距离侧向避让。不同机器人类型下,侧向调整距离亦存在差异。研究为公共空间中人机交互(HRI)提供了初步实证依据。
原文摘要 · Abstract (English)
As autonomous robots become more common in public spaces, spontaneous encounters with laypersons are more frequent. For this, robots need to be equipped with communication strategies that enhance momentary transparency and reduce the probability of critical situations. Adapting these robotic strategies requires consideration of robot movements, environmental conditions, and user characteristics and states. While numerous studies have investigated the impact of distraction on pedestrians' movement behavior, limited research has examined this behavior in the presence of autonomous robots. This research addresses the impact of robot type and robot movement pattern on distracted and undistracted pedestrians' movement behavior. In a field setting, unaware pedestrians were videotaped while moving past two working, autonomous cleaning robots. Out of N=498 observed pedestrians, approximately 8% were distracted by smartphones. Distracted and undistracted pedestrians did not exhibit significant differences in their movement behaviors around the robots. Instead, both the larger sweeping robot and the offset rectangular movement pattern significantly increased the number of lateral adaptations compared to the smaller cleaning robot and the circular movement pattern. The offset rectangular movement pattern also led to significantly more close lateral adaptations. Depending on the robot type, the movement patterns led to differences in the distances of lateral adaptations. The study provides initial insights into pedestrian movement behavior around an autonomous cleaning robot in public spaces, contributing to the growing field of HRI research.
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