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dc.contributor.authorStafford, R. Q-
dc.contributor.authorBroadbent, E-
dc.contributor.authorJayawardena, C-
dc.contributor.authorUnger, U-
dc.contributor.authorKuo, I. H-
dc.contributor.authorIgic, A-
dc.contributor.authorWong, R-
dc.contributor.authorKerse, N-
dc.contributor.authorWatson, C-
dc.contributor.authorMacDonald, B. A-
dc.date.accessioned2022-01-06T04:32:29Z-
dc.date.available2022-01-06T04:32:29Z-
dc.date.issued2010-09-13-
dc.identifier.citationCited by 94en_US
dc.identifier.issn944-9437-
dc.identifier.urihttp://localhost:80/handle/123456789/469-
dc.description.abstractThis study investigated whether attitudes and emotions towards robots predicted acceptance of a healthcare robot in a retirement village population. Residents (n = 32) and staff (n = 21) at a retirement village interacted with a robot for approximately 30 minutes. Prior to meeting the robot, participants had their heart rate and blood pressure measured. The robot greeted the participants, assisted them in taking their vital signs, performed a hydration reminder, told a joke, played a music video, and asked some questions about falls and medication management. Participants were given two questionnaires; one before and one after interacting with the robot. Measures included in both questionnaires were the Robot Attitude Scale (RAS) and the Positive and Negative Affect Schedule (PANAS). After using the robot, participants rated the overall quality of the robot interaction. Both residents and staff reported more favourable attitudes (p <; .05) and decreases in negative affect (p <; .05) towards the robot after meeting it, compared with before meeting it. Pre-interaction emotions and robot attitudes, combined with post-interaction changes in emotions and robot attitudes, were highly predictive of participants' robot evaluations (R = .88, p <; .05). The results suggest both pre-interaction emotions and attitudes towards robots, as well as experience with the robot, are important areas to monitor and address in influencing acceptance of healthcare robots in retirement village residents and staff. The results support an active cognition model that incorporates a feedback loop based on re-evaluation after experience.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries19th international symposium in robot and human interactive communication;Pages 82-87-
dc.subjectRobot sensing systemsen_US
dc.subjectRetirementen_US
dc.subjectParticle measurementsen_US
dc.subjectAtmospheric measurementsen_US
dc.subjectMedical servicesen_US
dc.subjectEducationen_US
dc.titleImproved robot attitudes and emotions at a retirement home after meeting a roboten_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ROMAN.2010.5598679en_US
Appears in Collections:Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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