arXiv:2503.21997cs.HCcs.RO2025-03被引 15

让视障者与导航机器人共同决策,提升出行自主性。

Beyond Omakase: Designing Shared Control for Navigation Robots with Blind People

  • 通过用户访谈和实测,探索视障者在人群中的导航需求
  • 14人访谈发现人群是主要挑战,13人实测验证共享控制有效
  • 推荐'老板'模式:用户主导互动,'监控'模式辅助环境判断

自主导航机器人可提升视障人士的独立性,但常采用日语中称为'omakase'(全权委托)的方式,将决策权完全交给机器人。本研究基于两项针对视障者的实验,探索如何增强用户对社交导航机器人的控制感。第一项研究通过结构化访谈(N=14),识别出人群密集区域是存在显著社交挑战的关键场景;第二项研究(N=13)在真实环境中测试了自主机器人导航任务,提出了不同自主模式下的设计策略。参与者更偏好'老板'模式——由用户主导人群互动,以及'监控'模式——用于评估环境、协商移动并交互机器人。研究强调共享控制与用户参与的重要性,为未来社交导航机器人的设计提供重要参考。

原文摘要 · Abstract (English)

Autonomous navigation robots can increase the independence of blind people but often limit user control, following what is called in Japanese an "omakase" approach where decisions are left to the robot. This research investigates ways to enhance user control in social robot navigation, based on two studies conducted with blind participants. The first study, involving structured interviews (N=14), identified crowded spaces as key areas with significant social challenges. The second study (N=13) explored navigation tasks with an autonomous robot in these environments and identified design strategies across different modes of autonomy. Participants preferred an active role, termed the "boss" mode, where they managed crowd interactions, while the "monitor" mode helped them assess the environment, negotiate movements, and interact with the robot. These findings highlight the importance of shared control and user involvement for blind users, offering valuable insights for designing future social navigation robots.

导航机器人视障辅助共享控制

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。