Beyond Omakase: Designing Shared Control for Navigation Robots with Blind People

Rie Kamikubo, Seita Kayukawa, Yuka Kaniwa, Allan Wang, Hernisa Kacorri, Hironobu Takagi, and Chieko Asakawa.
Three ways to share control with a navigation robot: Omakase mode follows the robot, Boss mode lets the user issue commands, and Monitor mode provides spatial information. The diagram relates these modes to independence through control, choice, and power.
A visitor uses a suitcase-shaped robot in a busy museum during a Wizard-of-Oz study. Example interactions include asking whether people block the route in Monitor mode, commanding the robot to alert bystanders in Boss mode, and following its guidance in Omakase mode.

Abstract

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.

Presentation Video

Beyond Omakase explores shared control of a navigation robot through Omakase, Boss, and Monitor modes, developed with blind people.

Publication

Rie Kamikubo, Seita Kayukawa, Yuka Kaniwa, Allan Wang, Hernisa Kacorri, Hironobu Takagi, and Chieko Asakawa. 2025. Beyond Omakase: Designing Shared Control for Navigation Robots with Blind People. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI 2025).
CHI 2025 DOI Talk Slide Paper BibTeX

Authors

College of Information University of Maryland
IBM Research
IBM Research
Yuka Kaniwa
Waseda University
College of Information University of Maryland
IBM Research
IBM Research
Yuka Kaniwa
Waseda University
College of Information University of Maryland
IBM Research

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Other Links

GitHub - CMU-cabot/cabot

Github repository of our navigation robot

CAL - CaBot

Cognitive Assistance Lab

Acknowledgements

We thank the participants in our study as well as the anonymous reviewers for their comments that further strengthened this paper. We also like to thank the Miraikan staff, including Hiromi Kurokawa and Takashi Suzuki, for their help in running the studies. Rie Kamikubo and Hernisa Kacorri were supported from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR), ACL, HHS (grant #90REGE0024).