超越奥马卡塞:设计与盲人共同控制导航机器人
Rie Kamikubo1, Seita Kayukawa2, Yuka Kaniwa3
1University of Maryland, College Park Maryland, United States IBM Research - Tokyo Tokyo, Japan.
Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference
|June 26, 2025
概括
使用自主导航机器人的盲人更喜欢主动控制"omakase" (机器人带领) 方法. 在"boss"和"monitor"模式中共享控制可以提高用户的独立性和环境交互性.
科学领域:
- 人与机器人的交互
- 辅助技术 辅助技术 辅助技术
- 机器人技术 机器人技术 机器人技术
背景情况:
- 自主导航机器人为盲人提供独立性,但通常使用...
- 在奥马卡塞的奥马卡塞.
- 方法,限制用户控制.
- 社交机器人导航带来了独特的挑战,特别是在拥挤的环境中,影响了用户体验和独立性.
研究的目的:
- 调查用于加强盲人社交机器人导航用户控制的方法.
- 在机器人辅助导航中探索用户对不同自主模式的偏好.
主要方法:
- 与盲人参与者进行了两项研究 (采访N=14,导航任务N=13).
- 结构化的采访确定了拥挤空间的挑战.
- 导航任务探索了各种自主模式,包括各种自主模式.
- 老板 老板 老板 老板 老板 老板 老板
- 和和和和和和和和.
- 监视 监视 监视 监视 监视 监视
- 模式. 模式. 模式.
主要成果:
- 拥挤的空间被确定为需要用户管理的关键区域.
- 参与者倾向于发挥积极的作用 (
- 老板 老板 老板 老板 老板 老板 老板
- 管理社会互动的模式).
- "监控"模式促进了环境评估,运动谈判和机器人交互.
结论:
- 共享控制和用户积极参与对于盲人用户有效的社交导航机器人设计至关重要.
- 设计策略应适应用户对控制的偏好,平衡机器人协助与个人代理.
- 结果为开发更具包容性和以用户为中心的自主导航系统提供了洞察力.
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