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      The perceptions of university students on technological and ethical risks of using robots in long-term care homes

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          Abstract

          Introduction: The COVID-19 pandemic has disproportionately impacted long-term care (LTC) residents and exacerbated residents’ risks of social isolation and loneliness. The unmet emotional needs of residents in LTC have driven researchers and decision-makers to consider novel technologies to improve care and quality of life for residents. Ageist stereotypes have contributed to the underuse of technologies by the older population. Telepresence robots have been found to be easy to use and do not require older adults to learn how to operate the robot but are remotely controlled by family members. The study aimed to understand the perspectives of multidisciplinary university students, including healthcare students, on using telepresence robots in LTC homes. The study would contribute to the future planning, implementation, and design of robotics in LTC.

          Methods: Between December 2021 and March 2022, our team conducted interviews with 15 multidisciplinary students. We employed a qualitative descriptive (QD) approach with semi-structured interview methods. Our study aimed to understand the perspectives of university students (under the age of 40) on using telepresence robots in LTC homes. Participants were invited to spend 15 min remotely driving a telepresence robot prior to the interview. A diverse team of young researchers and older adults (patient and family partners) conducted reflexive thematic analysis.

          Results: Six themes were identified: Robots as supplementary interaction; privacy, confidentiality, and physical harm; increased mental well-being and opportunities for interactions; intergenerational perspectives add values; staffing capacity; environmental and cultural factors influence acceptance.

          Conclusion: We identified a diverse range of perspectives regarding risk and privacy among participants regarding the implementation of telepresence robots in long-term care. Participants shared the importance of the voice of the resident and their own for creating more equitable decision-making and advocating for including this type of technology within LTC. Our study would contribute to the future planning, implementation, and design of robotics in LTC.

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          Most cited references39

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          Whatever happened to qualitative description?

          The general view of descriptive research as a lower level form of inquiry has influenced some researchers conducting qualitative research to claim methods they are really not using and not to claim the method they are using: namely, qualitative description. Qualitative descriptive studies have as their goal a comprehensive summary of events in the everyday terms of those events. Researchers conducting qualitative descriptive studies stay close to their data and to the surface of words and events. Qualitative descriptive designs typically are an eclectic but reasonable combination of sampling, and data collection, analysis, and re-presentation techniques. Qualitative descriptive study is the method of choice when straight descriptions of phenomena are desired. Copyright 2000 John Wiley & Sons,
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            Granny and the robots: ethical issues in robot care for the elderly

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              Anxiety, depression, loneliness and social network in the elderly: Longitudinal associations from The Irish Longitudinal Study on Ageing (TILDA)

              Social network, loneliness, generalized anxiety disorder (GAD) and major depression disorder (MDD) are interrelated. However, as the directions of these associations are still unclear, we examined them prospectively using community-based data.
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                Author and article information

                Contributors
                Journal
                Front Robot AI
                Front Robot AI
                Front. Robot. AI
                Frontiers in Robotics and AI
                Frontiers Media S.A.
                2296-9144
                21 December 2023
                2023
                : 10
                : 1268386
                Affiliations
                [1] 1 UBC IDEA Lab , School of Nursing , University of British Columbia , Vancouver, BC, Canada
                [2] 2 McGill University , Faculty of Medicine and Health Sciences , Montreal, QC, Canada
                [3] 3 Vancouver Coastal Health Research Institute , Vancouver, BC, Canada
                Author notes

                Edited by: Leimin Tian, Monash University, Australia

                Reviewed by: Sonia Adelé, Université Gustave Eiffel, France

                Janika Leoste, Tallinn University, Estonia

                *Correspondence: Erika Young, erika.young@ 123456ubc.ca
                Article
                1268386
                10.3389/frobt.2023.1268386
                10768051
                38187477
                74cca62a-03bb-4df0-99ed-f71a7fa545e6
                Copyright © 2023 Young, Hung, Wong, Wong, Yee, Mann and Vasarhelyi.

                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) and the copyright owner(s) 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.

                History
                : 28 July 2023
                : 06 December 2023
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the Vancouver Foundation through the PAR Grant (Grant ID: GR019971).
                Categories
                Robotics and AI
                Original Research
                Custom metadata
                Human-Robot Interaction

                telepresence robot,person-centered care,older adult,social connection,gerontechnology,long-term care,students,ethical risk

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