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Main Authors: Lee, Hansoo, Seo, Changhee, Park, Subin, Kwak, Sonya S.
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2603.14182
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author Lee, Hansoo
Seo, Changhee
Park, Subin
Kwak, Sonya S.
author_facet Lee, Hansoo
Seo, Changhee
Park, Subin
Kwak, Sonya S.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2603_14182
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Towards Equitable Robotic Furnishing Agents for Aging-in-Place: ADL-Grounded Design Exploration
Lee, Hansoo
Seo, Changhee
Park, Subin
Kwak, Sonya S.
Robotics
Human-Computer Interaction
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.
title Towards Equitable Robotic Furnishing Agents for Aging-in-Place: ADL-Grounded Design Exploration
topic Robotics
Human-Computer Interaction
url https://arxiv.org/abs/2603.14182