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Do robot pets decrease agitation in dementia patients?: An Ethnographic Approach
Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Filosofiska fakulteten.ORCID-id: 0000-0002-7556-5079
Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Filosofiska fakulteten.
Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0001-6883-2450
2020 (engelsk)Inngår i: 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, s. 616-627Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Springer Berlin/Heidelberg, 2020. s. 616-627
Serie
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 12483
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Identifikatorer
URN: urn:nbn:se:liu:diva-183462DOI: 10.1007/978-3-030-62056-1_51ISI: 000776480900051ISBN: 9783030620554 (tryckt)ISBN: 9783030620561 (digital)OAI: oai:DiVA.org:liu-183462DiVA, id: diva2:1642853
Konferanse
12th International Conference, ICSR 2020, Golden, CO, USA, November 14–18, 2020
Tilgjengelig fra: 2022-03-08 Laget: 2022-03-08 Sist oppdatert: 2024-11-18bibliografisk kontrollert

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