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A Multi-Method Investigation of Guide Robot Characteristics for Blind and Low-Vision Users

Katherine Shih, Abena Boadi-Agyemang, Elizabeth Carter, Aaron Steinfeld

Year
2025
Citations
3

Abstract

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.

Keywords

Computer visionArtificial intelligenceComputer scienceLow visionRobotHuman–computer interactionOptometryMedicine

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