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

Clicks: 203
ID: 23060
2019
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Ranked #231 of 296 articles by views in Journal of medical Internet research

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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.
Reference Key
loveys2019reducingjournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Loveys, Kate;Fricchione, Gregory;Kolappa, Kavitha;Sagar, Mark;Broadbent, Elizabeth;
Journal Journal of medical Internet research
Year 2019
DOI
10.2196/13664
URL
Keywords Keywords not found

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