Bridging the Health Disparity of African Americans Through Conversational Agents
dc.contributor.author | Kim, Junhan | |
dc.contributor.author | Park, Sun Young | |
dc.contributor.author | Robert, Lionel + "Jr" | |
dc.date.accessioned | 2021-04-17T19:45:21Z | |
dc.date.available | 2021-04-17T19:45:21Z | |
dc.date.issued | 2020-11 | |
dc.identifier.citation | Junhan Kim, Sun Young Park, and Lionel P. Robert. 2020. Bridging the Health Disparity of African Americans Through Conversational Agents. Digital Government: Research and Practice vol. 2, no. 1, Article 4 (November 2020), 7 pages. https://doi.org/10.1145/3428122 | en_US |
dc.identifier.uri | https://doi.org/10.1145/3428122 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/167148 | en |
dc.description.abstract | African Americans have faced health disparities in terms of access to health care and treatment of illnesses. The novel coronavirus disease 2019 pandemic exacerbates those disparities caused by limited access to medical care and healthy lifestyles, vulnerability to misleading information, and mistrust of the medical profession, all of which disproportionately affect the African American population in terms of infection and mortality. Conversational agents (CAs) are a technological intervention with the potential to narrow the disparities because they make health care more accessible, are effective in disseminating health information among a population with low health literacy, and can increase users’ trust in health information. However, designing CAs for this population presents challenges with regard to embodying the African American culture into CAs and addressing privacy and security concerns. This commentary discusses some advantages and challenges of using CAs to help African Americans protect themselves against coronavirus disease 2019, and calls for more research in this area. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Digital Government: Research and Practice | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | conversational agent | en_US |
dc.subject | chatbot | en_US |
dc.subject | health disparity | en_US |
dc.subject | african american population | en_US |
dc.subject | marginalized population | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | african americans | en_US |
dc.subject | COVID | en_US |
dc.subject | COVID19 | en_US |
dc.subject | Artificial Intelligence and Healthcare | en_US |
dc.subject | African Americans Healthcare | en_US |
dc.title | Bridging the Health Disparity of African Americans Through Conversational Agents | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Information Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Information, School of | en_US |
dc.contributor.affiliationum | Penny W. Stamps School Of Art & Design | en_US |
dc.contributor.affiliationum | Robotics Institute | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/167148/1/Kim et al. 2020 Published.pdf | |
dc.identifier.doi | 10.1145/3428122 | |
dc.identifier.doi | https://dx.doi.org/10.7302/823 | |
dc.identifier.source | Digital Government: Research and Practice | en_US |
dc.identifier.orcid | 0000-0002-1410-2601 | en_US |
dc.description.filedescription | Description of Kim et al. 2020 Published.pdf : Published Version | |
dc.description.depositor | SELF | en_US |
dc.identifier.name-orcid | Robert, Lionel P.; 0000-0002-1410-2601 | en_US |
dc.working.doi | 10.7302/823 | en_US |
dc.owningcollname | Information, School of (SI) |
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