为残障人士设计可在餐厅等真实社交场景中使用的智能助餐机器人
Robot-Assisted Social Dining as a White Glove Service
- 通过用户参与式设计，提出白手套服务理念的助餐机器人框架
- 机器人需支持多模态输入、无感输出，并具备情境化社交行为
- 适合关注真实场景下人机协作与社会性交互的研究者
机器人助餐可使需要协助进食的残障人士独立且有尊严地用餐。然而，现有系统仅在实验室或家庭环境中测试过，真实社交用餐场景（如餐厅）仍缺乏探索。设计此类场景下的机器人面临独特挑战，如动态、非受控的用餐环境需机器人自主应对。通过与残障人士的参与式设计，结合半结构化访谈及自研AI视觉故事板工具，我们提炼出理想的户外社交用餐场景。核心洞察指出，系统应体现‘白手套服务’原则：（1）支持多模态输入与无感输出；（2）具备情境敏感的社交行为并优先保障用户；（3）角色超越单纯喂食；（4）适应餐桌上的多重人际关系。本研究对真实场景及群体情境下的机器人助餐具有重要意义。
原文摘要 · Abstract (English)
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.
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