Beyond Omakase: Designing Shared Control for Navigation Robots with Blind People
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Abstract (arXiv)
Autonomous navigation robots can increase the independence of blind people but often limit user control, following what is called in Japanese an "omakase" approach where decisions are left to the robot. This research investigates ways to enhance user control in social robot navigation, based on two studies conducted with blind participants. The first study, involving structured interviews (N=14), identified crowded spaces as key areas with significant social challenges. The second study (N=13) explored navigation tasks with an autonomous robot in these environments and identified design strategies across different modes of autonomy. Participants preferred an active role, termed the "boss" mode, where they managed crowd interactions, while the "monitor" mode helped them assess the environment, negotiate movements, and interact with the robot. These findings highlight the importance of shared control and user involvement for blind users, offering valuable insights for designing future social navigation robots.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Mar 2025.
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Citing papers per year: 2025: 2; 2026: 2.
4 papers.
- 2025GuideNav: User-Informed Development of a Vision-Only Robotic Navigation Assistant For Blind Travelerscited by 3
- 2025ShelfAware: Real-Time Semantic Localization in Quasi-Static Environments with Low-Cost Sensorscited by 1
- 2026CANINE: Coaching Visually Impaired Users for Interactive Navigation with a Robot Guide Dogcited by 1
- 2026RoboFind: Multi-Agent Personalized Object Search for People Who Are Blind or Have Low Visioncited by 0
- 2026RoboFind: Multi-Agent Personalized Object Search for People Who Are Blind or Have Low Vision17 Sep 2026
- 2026CANINE: Coaching Visually Impaired Users for Interactive Navigation with a Robot Guide Dog19 May 2026
- 2025ShelfAware: Real-Time Semantic Localization in Quasi-Static Environments with Low-Cost Sensors9 Dec 2025
- 2025GuideNav: User-Informed Development of a Vision-Only Robotic Navigation Assistant For Blind Travelers5 Dec 2025