在宅高齢者のための公平なロボット家具エージェント：ADLに基づく設計探求
Towards Equitable Robotic Furnishing Agents for Aging-in-Place: ADL-Grounded Design Exploration
高齢者の日常生活動作（ADL）における困難を軽減するため、ロボット家具エージェントの設計を探求した論文。インタビューから要件を導出し、コンピュータビジョンと生成AIを活用した概念を提案している。
著者: Hansoo Lee, Changhee Seo, Subin Park, Sonya S. Kwak
分類: cs.RO, cs.HC
原文アブストラクト
In aging-in-place contexts, small difficulties in Activities of Daily Living (ADL) can accumulate, affecting well-being through fatigue, anxiety, reduced autonomy, and safety risks. This position paper argues that robotics for older adult wellbeing must move beyond "convenience features" and centre equity, justice, and responsibility. We conducted ADL-grounded semi-structured interviews with four adults in their 70s-80s, identifying recurrent challenges (finding/ organising items, taking medication, and transporting objects) and deriving requirements to reduce compounded cognitive-physical burden. Based on these insights, we propose an in-home robotic furnishing-agent concept leveraging computer vision and generative AI and LLMs for natural-language interaction, context-aware reminders, safe actuation, and user-centred transparency. We then report video-stimulated follow-up interviews with the same participants, highlighting preferences for confirmation before actuation, predictability, adjustable speed/autonomy, and multimodal feedback, as well as equity-related concerns. We conclude with open questions on evaluating and deploying equitable robotic wellbeing systems in real homes.