机器人辅助社交用餐作为白手套服务
Robot-Assisted Social Dining as a White Glove Service
AI总结：
本研究通过参与设计和AI工具，提出机器人辅助社交用餐的白手套服务理念，强调多模态输入、情境敏感行为及角色扩展，以提升残疾人在野外社交用餐中的独立性和尊严。
摘要：
机器人辅助喂食使需要帮助进食的人能够独立且有尊严地享受餐食。然而，现有系统仅在实验室或家庭环境中进行测试，使得在野外的社交用餐场景（如餐厅）大多未被探索。设计用于此类场景的机器人带来了独特的挑战，例如机器人需要考虑和响应动态且无监督的用餐环境。通过与残疾人进行的推测性参与设计，结合半结构化访谈和定制的AI视觉故事板工具，我们发现了适合野外社交用餐的理想场景。我们的关键发现表明，此类系统应遵循白手套服务的原则，其中机器人（1）支持多模态输入和无感输出；（2）具有情境敏感的社会行为并优先考虑用户；（3）角色扩展到喂食之外；（4）适应餐桌上的其他关系。我们的工作对机器人辅助喂食的野外和群体情境具有影响。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
