Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/78098
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dc.contributorDepartment of Computing-
dc.contributorSchool of Design-
dc.creatorHoorn, JF-
dc.date.accessioned2018-09-10T08:15:20Z-
dc.date.available2018-09-10T08:15:20Z-
dc.identifier.issn1687-9600en_US
dc.identifier.urihttp://hdl.handle.net/10397/78098-
dc.language.isoenen_US
dc.publisherHindawien_US
dc.rightsCopyright © 2018 Johan F. Hoorn. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following article: Johan F. Hoorn, “From Lonely to Resilient through Humanoid Robots: Building a New Framework of Resilience,” Journal of Robotics, vol. 2018, Article ID 8232487, 17 pages, 2018, is available at https//doi.org/10.1155/2018/8232487en_US
dc.titleFrom lonely to resilient through humanoid robots : building a new framework of resilienceen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume2018en_US
dc.identifier.doi10.1155/2018/8232487en_US
dcterms.abstractThis paper connects different theories and methods from the social sciences and applies them to human-humanoid robot interaction (HHRI) to explain loneliness reduction and the build-up of resilience in older adults through social robots. It allows for user-related aspects such as age, social connectedness, gender role, personality, and need satisfaction as well as robot-related aspects, particularly coaching behaviors and communication styles. From these scientific considerations, solutions to design challenges are pinpointed, proposing novel interaction schemes that enhance the feeling of support and companionship. This paper also opens the way to conducting empirical research to examine HHRI-related designs, measuring user experience in HHRI, while suggesting applications in HHRI in various settings, such as coaching and eldercare.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of robotics, 2018, v. 2018, 8232487-
dcterms.isPartOfJournal of robotics-
dcterms.issued2018-
dc.identifier.isiWOS:000440484600001-
dc.identifier.scopus2-s2.0-85051027514-
dc.identifier.eissn1687-9619en_US
dc.identifier.artn8232487en_US
dc.description.validate201809 bcmaen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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