Robot-Assisted Social Dining as a White Glove Service
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866910024978137088 |
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| author | Kashyap, Atharva S Morkute, Ugne Aleksandra Alves-Oliveira, Patricia |
| author_facet | Kashyap, Atharva S Morkute, Ugne Aleksandra Alves-Oliveira, Patricia |
| contents | Robot-assisted feeding enables people with disabilities who require assistance eating to enjoy a meal independently and with dignity. However, existing systems have only been tested in-lab or in-home, leaving in-the-wild social dining contexts (e.g., restaurants) largely unexplored. Designing a robot for such contexts presents unique challenges, such as dynamic and unsupervised dining environments that a robot needs to account for and respond to. Through speculative participatory design with people with disabilities, supported by semi-structured interviews and a custom AI-based visual storyboarding tool, we uncovered ideal scenarios for in-the-wild social dining. Our key insight suggests that such systems should: embody the principles of a white glove service where the robot (1) supports multimodal inputs and unobtrusive outputs; (2) has contextually sensitive social behavior and prioritizes the user; (3) has expanded roles beyond feeding; (4) adapts to other relationships at the dining table. Our work has implications for in-the-wild and group contexts of robot-assisted feeding. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_15767 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Robot-Assisted Social Dining as a White Glove Service Kashyap, Atharva S Morkute, Ugne Aleksandra Alves-Oliveira, Patricia Robotics Artificial Intelligence Human-Computer Interaction K.4.2; I.2.9; H.5.0 Robot-assisted feeding enables people with disabilities who require assistance eating to enjoy a meal independently and with dignity. However, existing systems have only been tested in-lab or in-home, leaving in-the-wild social dining contexts (e.g., restaurants) largely unexplored. Designing a robot for such contexts presents unique challenges, such as dynamic and unsupervised dining environments that a robot needs to account for and respond to. Through speculative participatory design with people with disabilities, supported by semi-structured interviews and a custom AI-based visual storyboarding tool, we uncovered ideal scenarios for in-the-wild social dining. Our key insight suggests that such systems should: embody the principles of a white glove service where the robot (1) supports multimodal inputs and unobtrusive outputs; (2) has contextually sensitive social behavior and prioritizes the user; (3) has expanded roles beyond feeding; (4) adapts to other relationships at the dining table. Our work has implications for in-the-wild and group contexts of robot-assisted feeding. |
| title | Robot-Assisted Social Dining as a White Glove Service |
| topic | Robotics Artificial Intelligence Human-Computer Interaction K.4.2; I.2.9; H.5.0 |
| url | https://arxiv.org/abs/2602.15767 |