View Item 

Show simple item record

Conversational Agents for Health and Wellbeing: Review and Future Agendas
dc.contributor.authorKim, Junhan
dc.contributor.authorPark, Sun
dc.contributor.authorRobert, Lionel + "Jr"
dc.date.accessioned2019-10-29T09:59:51Z
dc.date.available2019-10-29T09:59:51Z
dc.date.issued2019-10-29
dc.identifier.citationKim, J. Park, S.J. and Robert, L. P. (2019). Conversational Agents for Health and Wellbeing: Review and Future Agendas presented at the Identifying Challenges and Opportunities in Human–AI Collaboration in Healthcare at the 22th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2019), Austin, Texas.en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/151800
dc.description.abstractThis paper is a literature review of 57 papers that have examined the role and impact of conversational agents (CAs) in the health domain. We note that three key themes repeatedly arose during the review: therapeutic alliance, trust, and human intervention. We also point out several areas that have been largely overlooked, such as specific patient characteristics that influence the effects of CA usage, the results of differing CA designs, and specific human-CA relationships. Based on the current gaps in scholarship, we recommend several future intersections at which CAs and healthcare can meet.en_US
dc.language.isoen_USen_US
dc.publisherCSCW 2019en_US
dc.subjectArtificial intelligenceen_US
dc.subjectconversational agenten_US
dc.subjecthealthcareen_US
dc.subjectvirtual agenten_US
dc.subjectwell beingen_US
dc.subjectArtificial intelligence trusten_US
dc.subjectArtificial intelligence healthcareen_US
dc.subjectconversational agent trusten_US
dc.subjectvirtual agent trusten_US
dc.subjectchatboxen_US
dc.subjecthuman AI interactionen_US
dc.subjectsocial computingen_US
dc.subjecthuman computer interactionen_US
dc.subjecthuman AI interactionen_US
dc.subjectUX designen_US
dc.titleConversational Agents for Health and Wellbeing: Review and Future Agendasen_US
dc.typeConference Paperen_US
dc.subject.hlbsecondlevelInformation and Library Science
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumInformation, School ofen_US
dc.contributor.affiliationumStampsen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/151800/1/Kim et al. 2019.pdf
dc.identifier.sourceIdentifying Challenges and Opportunities in Human–AI Collaboration in Healthcare at the 22th ACM Conference on Computer Supported Cooperative Work and Social Computingen_US
dc.identifier.orcid0000-0002-1410-2601en_US
dc.description.filedescriptionDescription of Kim et al. 2019.pdf : Main article
dc.identifier.name-orcidRobert, Lionel P.; 0000-0002-1410-2601en_US
dc.owningcollnameInformation, School of (SI)


Files in this item

Name:
Kim et al. 2019.pdf
Size:
144.1KB
Format:
PDF
Description:
Main article
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.