2022
DOI: 10.1007/s11257-022-09323-0
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Personalised socially assistive robot for cardiac rehabilitation: Critical reflections on long-term interactions in the real world

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Cited by 11 publications
(4 citation statements)
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“…Another open question remains regarding robot-to-user adaptation in a longitudinal perspective. Although there is available research about the effects of personalization on long-term HRI, e.g., [13,17,39,48,49,65], future research could take the dynamics of anthropomorphism over time and related consequences more into account. However, customization remains poorly studied -especially in long term HRI [77] -and PO remains to be considered more in HRI research.…”
Section: Discussionmentioning
confidence: 99%
“…Another open question remains regarding robot-to-user adaptation in a longitudinal perspective. Although there is available research about the effects of personalization on long-term HRI, e.g., [13,17,39,48,49,65], future research could take the dynamics of anthropomorphism over time and related consequences more into account. However, customization remains poorly studied -especially in long term HRI [77] -and PO remains to be considered more in HRI research.…”
Section: Discussionmentioning
confidence: 99%
“…Two additional studies assessed participants’ attitudes and acceptance of social robots after interacting with a robot as part of a cardiac rehabilitation program. 14 , 15 Broadly, the results indicated that patients and clinicians had positive thoughts regarding the usefulness, utility, safety, and trust of the robot. It is unknown whether patients with heart failure would derive similar benefit from a social robot interaction or whether these patients would be accepting of such technologies in augmenting their care.…”
Section: Introductionmentioning
confidence: 94%
“…Though their approach reached results with an accuracy of 67.4%, user feedback was not investigated. On the other hand, similar works adopted face recognition in a long-term study for a personalized SAR for cardiac rehabilitation on a single patient [11,12]. Despite the poor performance of user recognition, positive reactions were reported throughout the overall interaction.…”
Section: Personalization and Adaptationmentioning
confidence: 99%