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dc.contributor.authorAguiar Noury, G
dc.contributor.authorBradwell, Hannah
dc.contributor.authorThill, Serge
dc.contributor.authorJones, Ray
dc.date.accessioned2019-05-07T14:25:57Z
dc.date.available2019-05-07T14:25:57Z
dc.date.issued2019-04-05
dc.identifier.issn0169-1864
dc.identifier.issn1568-5535
dc.identifier.urihttp://hdl.handle.net/10026.1/13779
dc.description.abstract

We report the needs and challenges identified by health and social care professionals and service users for robotics and autonomous systems that are of importance to researchers and policymakers. To this end, we held eight workshops in different locations across Cornwall (UK) in which we raised awareness of the applications and opportunities of assistive robots. The 223 participants could interact physically with four robots, watched a multimedia presentation including video and use-case scenarios and then took part in 33 focus groups. Content analysis was carried out based on summaries written by facilitators during the focus groups. The focus groups produced 163 challenges that may have digital solutions including 78 suitable for robotic assistive technology, in three main areas: maintaining independence at home, social isolation, and rurality. Although further research is needed with technology and its implementation, this study shows that health and social care professionals, patients, carers, and students are willing to consider using robotics and autonomous systems in health and social care settings.

dc.format.extent309-324
dc.languageen
dc.language.isoen
dc.publisherTaylor & Francis
dc.subjectHealth and social care
dc.subjectevaluation of needs
dc.subjectrobotics
dc.subjectassistive technology
dc.titleUser-defined challenges and desiderata for robotics and autonomous systems in health and social care settings
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000465804700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue7-8
plymouth.volume33
plymouth.publication-statusPublished
plymouth.journalAdvanced Robotics
dc.identifier.doi10.1080/01691864.2019.1599728
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Health
plymouth.organisational-group/Plymouth/Faculty of Health/School of Nursing and Midwifery
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA03 Allied Health Professions, Dentistry, Nursing and Pharmacy
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Institute of Health and Community
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2019-03-13
dc.rights.embargodate2020-4-4
dc.identifier.eissn1568-5535
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1080/01691864.2019.1599728
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2019-04-05
rioxxterms.typeJournal Article/Review
plymouth.funderEPIC: eHealth productivity and innovation in Cornwall and the Isles of Scilly::European Regional Development Fund


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