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Do robot pets decrease agitation in dementia patients?: An Ethnographic Approach
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0002-7556-5079
Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Arts and Sciences.
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-6883-2450
2020 (English)In: Social Robotics: 12th International Conference, ICSR 2020, Golden, CO, USA, November 14–18, 2020, Proceedings / [ed] Alan R. Wagner, David Feil-Seifer, Kerstin S. Haring, Silvia Rossi, Thomas Williams, Hongsheng He, Shuzhi Sam Ge, Springer Berlin/Heidelberg, 2020, p. 616-627Conference paper, Published paper (Refereed)
Abstract [en]

Companion robots, and especially robotic pets, have been argued to have the potential for improving the well-being of elderly people with dementia. Previous research has mainly focused on short-term studies, conducted with relatively expensive robot platforms. With cheaper options on the market, residential homes in Sweden have started to use low-cost off-the-shelf platforms, such as the Joy for All cats and dogs, which have not been the subject of much previous research. We therefore conducted two ethnographic long-term studies of real-world use of the Joy for All robot cat and dog at a care home facility. The care staff report positive outcomes regarding reminiscence and improved well-being, with decreased agitation and increased communication. Furthermore, the robots are perceived to provide companionship and to give patients the feeling of being able to take care of someone. Based on the insights gained in this real-world study of the use of robotic pets in elderly care, we identify a number of research questions and methodological issues for future research.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2020. p. 616-627
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 12483
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-183462DOI: 10.1007/978-3-030-62056-1_51ISI: 000776480900051ISBN: 9783030620554 (print)ISBN: 9783030620561 (electronic)OAI: oai:DiVA.org:liu-183462DiVA, id: diva2:1642853
Conference
12th International Conference, ICSR 2020, Golden, CO, USA, November 14–18, 2020
Available from: 2022-03-08 Created: 2022-03-08 Last updated: 2024-11-18Bibliographically approved

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Thunberg, SofiaZiemke, Tom

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Thunberg, SofiaRönnqvist, LisaZiemke, Tom
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Human-Centered systemsFaculty of Arts and SciencesDepartment of Computer and Information ScienceFaculty of Science & Engineering
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