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Conversational Agents as an Aid for Cancer Survivors’ Information Search

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dc.contributor.authorIssaka, Barikisu
dc.contributor.authorArgyris, Young
dc.contributor.authorTan, Pang-Ning
dc.date.accessioned2023-12-26T18:42:09Z
dc.date.available2023-12-26T18:42:09Z
dc.date.issued2024-01-03
dc.identifier.doihttps://doi.org/10.24251/HICSS.2024.457
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherb9419cd9-376a-45e1-ad69-3b3c3d8f419f
dc.identifier.urihttps://hdl.handle.net/10125/106840
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSelf-management of Chronic Diseases and Conditions
dc.subjectcancer survivorship
dc.subjectconversational agents
dc.subjectgenerative artificial intelligence
dc.subjectknowledge graph
dc.subjectsocial media
dc.titleConversational Agents as an Aid for Cancer Survivors’ Information Search
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractCancer survivors need high-quality information to self-manage their illness, as treatments often last over 20 years. Yet, digital health technologies are in their infancy to aid cancer survivors’ navigation through the wealth of information. Simultaneously, cancer misinformation has grown exponentially on digital platforms, veering survivors from conventional therapies to untested alternative treatments. Towards this end, this conceptual paper explores the potential of conversational agents (generative artificial intelligence aids) designed to select and present credible information to aid in survivors’ long-term journey of managing cancer. Specifically, mining cancer (mis)information from diverse sources and building knowledge graphs are suggested to structure trustworthy and relatable dialogues of conversational agents for cancer survivors.
dcterms.extent10 pages
prism.startingpage3788

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