Understanding Expectations for a Robotic Guide Dog for Visually Impaired People

Robotic guide dogs hold significant potential to enhance the autonomy and mobility of blind or visually impaired (BVI) individuals by offering universal assistance over unstructured terrains at affordable costs. However, the design of robotic guide dogs remains underexplored, particularly in systematic aspects such as gait controllers, navigation behaviors, interaction methods, and verbal explanations. Our study addresses this gap by conducting user studies with 18 BVI participants, comprising 15 cane users and three guide dog users. Participants interacted with a quadrupedal robot and provided both quantitative and qualitative feedback. Our study revealed several design implications, such as a preference for a learning-based controller and a rigid handle, gradual turns with asymmetric speeds, semantic communication methods, and explainability. The study also highlighted the importance of customization to support users with diverse backgrounds and preferences, along with practical concerns such as battery life, maintenance, and weather issues. These findings offer valuable insights and design implications for future research and development of robotic guide dogs.

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Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/hri61500.2025.10974141
Citations
5
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
6.07

Funders

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article

Understanding Expectations for a Robotic Guide Dog for Visually Impaired People

M. Travis Byrd, Bruce N. Walker, J. Taery Kim, Sehoon Ha et al.
5 citations
Robotics and Automated Systems
6.07
article

Understanding Expectations for a Robotic Guide Dog for Visually Impaired People

M. Travis Byrd, Bruce N. Walker, J. Taery Kim, Sehoon Ha, Greg Turk, Jack L. Crandell
article en
5 citations

Abstract

Robotic guide dogs hold significant potential to enhance the autonomy and mobility of blind or visually impaired (BVI) individuals by offering universal assistance over unstructured terrains at affordable costs. However, the design of robotic guide dogs remains underexplored, particularly in systematic aspects such as gait controllers, navigation behaviors, interaction methods, and verbal explanations. Our study addresses this gap by conducting user studies with 18 BVI participants, comprising 15 cane users and three guide dog users. Participants interacted with a quadrupedal robot and provided both quantitative and qualitative feedback. Our study revealed several design implications, such as a preference for a learning-based controller and a rigid handle, gradual turns with asymmetric speeds, semantic communication methods, and explainability. The study also highlighted the importance of customization to support users with diverse backgrounds and preferences, along with practical concerns such as battery life, maintenance, and weather issues. These findings offer valuable insights and design implications for future research and development of robotic guide dogs.

Georgia Institute of Technology (US)
National Science Foundation
Openalex Percentile: Top 4%
Robotics and Automated Systems
6.07
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