基于用户研究设计更安全可信的导盲机器人，提升视障者独立出行能力。
Lessons Learned from Developing a Human-Centered Guide Dog Robot for Mobility Assistance
- 通过访谈与实验，从真实用户需求出发优化机器人设计
- 提炼出提升安全性、信任感与易用性的关键设计原则
- 为未来导盲机器人开发提供可复用的人因设计指南
尽管导盲犬能提供关键的移动辅助，但其高昂成本、有限供应和护理需求使大多数视障或低视力（BLV）人群难以负担。近年来四足机器人技术的进步为移动辅助提供了可扩展的解决方案，但许多现有设计因缺乏对使用者与导盲犬互动的理解而无法满足实际需求。本文分享了开发以人为本的导盲机器人过程中获得的经验教训，重点解决硬件设计、鲁棒导航和场景信息描述等挑战。通过与视障人士、导盲犬训练员及持证训导员开展半结构化访谈和人机实验，我们识别出提升机器人辅助设备安全性、信任度与可用性的核心设计原则。这些发现为未来导盲机器人的发展奠定了基础，旨在最终提升视障群体的独立性与生活质量。
原文摘要 · Abstract (English)
While guide dogs offer essential mobility assistance, their high cost, limited availability, and care requirements make them inaccessible to most blind or low vision (BLV) individuals. Recent advances in quadruped robots provide a scalable solution for mobility assistance, but many current designs fail to meet real-world needs due to a lack of understanding of handler and guide dog interactions. In this paper, we share lessons learned from developing a human-centered guide dog robot, addressing challenges such as optimal hardware design, robust navigation, and informative scene description for user adoption. By conducting semi-structured interviews and human experiments with BLV individuals, guide-dog handlers, and trainers, we identified key design principles to improve safety, trust, and usability in robotic mobility aids. Our findings lay the building blocks for future development of guide dog robots, ultimately enhancing independence and quality of life for BLV individuals.
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