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dc.contributor.authorTickle-Degnen, Linda
dc.contributor.authorScheutz, Matthias
dc.contributor.authorArkin, Ronald C.
dc.date.accessioned2014-10-21T18:25:30Z
dc.date.available2014-10-21T18:25:30Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/1853/52674
dc.description.abstractThis paper reports the design plan of a social rehabilitation robot for optimizing social self-management of health. Managing health with physically and stigmatizing disabling conditions involves managing both physical and social daily functioning. The robot will use artificial moral emotions that trigger actions that mirror health care ethical behavior to preserve therapeutic relationships and empower social participation in people with Parkinson’s disease.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectHealth careen_US
dc.subjectMoral emotionsen_US
dc.subjectOccupational therapyen_US
dc.subjectParkinson’s diseaseen_US
dc.subjectRehabilitationen_US
dc.subjectRobot ethicsen_US
dc.subjectRobotic co-mediatoren_US
dc.subjectSocial self-managementen_US
dc.subjectStigmatizationen_US
dc.titleCollaborative Robots in Rehabilitation for Social Self-Management of Healthen_US
dc.typePaperen_US
dc.contributor.corporatenameGeorgia Institute of Technology. College of Computingen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Interactive Computingen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Mobile Robot Laboratoryen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Robotics and Intelligent Machinesen_US
dc.contributor.corporatenameTufts University. Department of Computer Scienceen_US
dc.contributor.corporatenameTufts University. Department of Occupational Therapyen_US
dc.embargo.termsnullen_US


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  • Mobile Robot Laboratory Publications [187]
    Papers, pre/post-prints, and presentations by faculty and students in the Georgia Tech Mobile Robot Laboratory.
  • Mobile Robot Laboratory [187]
    Papers, pre/post-prints, and presentations by faculty and students in the Georgia Tech Mobile Robot Laboratory.

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