Reducing Patient Loneliness With Artificial Agents: Design Insights From Evolutionary Neuropsychiatry

Show simple item record Loveys, Kate en Fricchione, G en Kolappa, K en Sagar, Mark en Broadbent, Elizabeth en 2019-09-30T22:50:32Z en 2019-07 en
dc.identifier.citation Journal of Medical Internet Research 21(7):6 pages Article number e13664 Jul 2019 en
dc.identifier.issn 1438-8871 en
dc.identifier.uri en
dc.description.abstract Loneliness is a growing public health issue that substantially increases the risk of morbidity and mortality. Artificial agents, such as robots, embodied conversational agents, and chatbots, present an innovation in care delivery and have been shown to reduce patient loneliness by providing social support. However, similar to doctor and patient relationships, the quality of a patient’s relationship with an artificial agent can impact support effectiveness as well as care engagement. Incorporating mammalian attachment-building behavior in neural network processing as part of an agent’s capabilities may improve relationship quality and engagement between patients and artificial agents. We encourage developers of artificial agents intended to relieve patient loneliness to incorporate design insights from evolutionary neuropsychiatry. en
dc.publisher JMIR Publications en
dc.relation.ispartofseries Journal of Medical Internet Research en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.rights.uri en
dc.title Reducing Patient Loneliness With Artificial Agents: Design Insights From Evolutionary Neuropsychiatry en
dc.type Journal Article en
dc.identifier.doi 10.2196/13664 en
pubs.issue 7 en
pubs.volume 21 en
dc.rights.holder Copyright: The authors en
dc.rights.accessrights en
pubs.subtype Article en
pubs.elements-id 776426 en Bioengineering Institute en ABI Associates en Medical and Health Sciences en School of Medicine en Psychological Medicine Dept en
pubs.number e13664 en
pubs.record-created-at-source-date 2019-07-11 en
pubs.dimensions-id 31287067 en

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