BRIEF RESEARCH REPORT article
Front. Robot. AI
Sec. Human-Robot Interaction
Volume 12 - 2025 | doi: 10.3389/frobt.2025.1610329
This article is part of the Research TopicDigital Health Applications of Social RobotsView all articles
Responsible and Adaptive Robots in Care Home Settings: An Implementation Framework Analysis of a Workshop with Public and Professionals
Provisionally accepted
Andriana Boudouraki1*
Maria Waheed1
Rafael Mestre2
Aleksandra Landowska1Athina Georgara2Jayati Deshmukh2Lokesh Singh2Ayodeji O Abioye2Tan Viet Tuyen Nguyen2
Yi Dong3Shuang Ao2
Dominic Price1Joel Fischer1
Aislinn Gomez Bergin1- 1University of Nottingham, Nottingham, United Kingdom
- 2University of Southampton, Southampton, Hampshire, United Kingdom
- 3University of Liverpool, Liverpool, North West England, United Kingdom
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As populations grow, research looks to emerging adaptive technologies for the urgent challenge in providing suitable care for older adults. Drawing on implementation science, we conducted a holistic examination looking at broader, contextual factors relating to the acceptability of robotics and sensor technologies in care homes. We held a workshop that brought together members of the public and researchers with experience in care home, to try such technologies and discuss their application in different care home scenarios. Using the NASSS framework, we examine acceptability through the angles of technology, condition, adopters, value proposition, organisation, wider context, and sustainability. While both groups of participants share concerns about the negative impacts of robotics on the quality of care, we also uncovered additional areas of further consideration relating to tensions between stakeholders and constraints around material resources, culture, processes and regulatory considerations.
Keywords: Sensors, Robotics, older adults, care work, healthcare, Qualitative, implementation, Social robots Frontiers
Received: 11 Apr 2025; Accepted: 30 Jun 2025.
Copyright: © 2025 Boudouraki, Waheed, Mestre, Landowska, Georgara, Deshmukh, Singh, Abioye, Nguyen, Dong, Ao, Price, Fischer and Gomez Bergin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Andriana Boudouraki, University of Nottingham, Nottingham, United Kingdom
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