A Multi-Method Investigation of Guide Robot Characteristics for Blind and Low-Vision Users
Katherine Shih, Abena Boadi-Agyemang, Elizabeth Jeanne Carter, Aaron M. Steinfeld · ACM Transactions on Human-Robot Interaction · 2025
Guide robots have the potential to improve the experience of independent travel for people who are blind or have low vision. While many technical challenges for robot guides have been studied, open questions about robot behaviors and features remain. We conducted a two-phase user study with 16 blind and low-vision participants. First, we tested whether robot path planners that account for specific orientation cues affect users’ comfort and spatial awareness. Then, we elicited user preferences for guide robots through semi-structured interviews and scenario-based design sessions. We provide insights regarding desired robot behaviors and features that impact robot usability, human agency vs. autonomy, and perceived safety.