Matches in SemOpenAlex for { <https://semopenalex.org/work/W4210369733> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W4210369733 abstract "<sec> <title>BACKGROUND</title> Conversational agents can reach people where they are at, existing online, on mobile phones, or even through hardware like Alexa and Siri, making information easier to access and providing an engaging method of interaction. It makes sense that chatbots would also start to emerge to improve public health through health education. While building a chatbot is getting easier, there is still required time and effort. There is also a lack of clarity and consistent terminology about what kinds of chatbots are out there, how they are developed, and the kind of resources needed to develop and sustain them. This lack of clarity makes a daunting task for those seeking to build health education initiatives. Our scoping review seeks to categorize conversational agents in healthcare education in alignment with current classifications and terminology emerging from the marketplace. We will define the terminology of levels of conversational agents, categorize current agents along with these levels and describe the uses, resources, and evaluations common to these levels. </sec> <sec> <title>OBJECTIVE</title> This scoping review aims to identify literature that reports on the design and implementation of conversational agents to promote and educate the public on matters related to health. </sec> <sec> <title>METHODS</title> This scoping review will be conducted by employing the Arksey and O’Malley framework. We will also be adhering to the enhancements and updates proposed by Levac et al. and Peters et al. The PRISMA extension for scoping reviews will guide the reporting of this scoping review. A systematic search for published and grey literature will be undertaken from the following databases (1) PubMed, (2) PsychINFO, (2) Embase, (4) Web of Science, (5) SCOPUS, (6) CINAHL, (7) ERIC, (8) MEDLINE, (9) Google Scholar. Data charting will be done using a structured format. </sec> <sec> <title>RESULTS</title> Initial searches of the databases retrieved 1,480 results. The results will be presented in the final scoping review in both a narrative and illustrative manner. </sec> <sec> <title>CONCLUSIONS</title> Reviewers have previously explored conversational agents in health. However, to the authors' knowledge, there has been no review conducted in the specific area of our interest –Health Education. Therefore, this review will provide a map of the literature in this area and clarify and define the heterogeneous terms found in the literature. This information will help healthcare professionals and administrators to understand what kinds of chatbots would be appropriate in their setting. And through our charted data could also help them understand what kind of resources or expertise is required for the different chatbots in use. </sec>" @default.
- W4210369733 created "2022-02-08" @default.
- W4210369733 creator A5000466631 @default.
- W4210369733 creator A5036648486 @default.
- W4210369733 creator A5055152315 @default.
- W4210369733 date "2021-07-09" @default.
- W4210369733 modified "2023-09-23" @default.
- W4210369733 title "Conversational Agents in Health Education: A Scoping Review Protocol (Preprint)" @default.
- W4210369733 cites W1997535568 @default.
- W4210369733 cites W2075950485 @default.
- W4210369733 cites W2084154288 @default.
- W4210369733 cites W2560438049 @default.
- W4210369733 cites W2724317853 @default.
- W4210369733 cites W2735864825 @default.
- W4210369733 cites W2761896474 @default.
- W4210369733 cites W2775761745 @default.
- W4210369733 cites W2801150160 @default.
- W4210369733 cites W2891378911 @default.
- W4210369733 cites W2922711788 @default.
- W4210369733 cites W3028999579 @default.
- W4210369733 cites W3092419658 @default.
- W4210369733 cites W3112926599 @default.
- W4210369733 cites W3116106880 @default.
- W4210369733 cites W3117036764 @default.
- W4210369733 cites W3133406856 @default.
- W4210369733 cites W3136783667 @default.
- W4210369733 cites W4235254995 @default.
- W4210369733 cites W4236302406 @default.
- W4210369733 doi "https://doi.org/10.2196/preprints.31923" @default.
- W4210369733 hasPublicationYear "2021" @default.
- W4210369733 type Work @default.
- W4210369733 citedByCount "0" @default.
- W4210369733 crossrefType "posted-content" @default.
- W4210369733 hasAuthorship W4210369733A5000466631 @default.
- W4210369733 hasAuthorship W4210369733A5036648486 @default.
- W4210369733 hasAuthorship W4210369733A5055152315 @default.
- W4210369733 hasConcept C108827166 @default.
- W4210369733 hasConcept C136764020 @default.
- W4210369733 hasConcept C138885662 @default.
- W4210369733 hasConcept C154945302 @default.
- W4210369733 hasConcept C160735492 @default.
- W4210369733 hasConcept C17744445 @default.
- W4210369733 hasConcept C185592680 @default.
- W4210369733 hasConcept C199539241 @default.
- W4210369733 hasConcept C2777146004 @default.
- W4210369733 hasConcept C2779041454 @default.
- W4210369733 hasConcept C39549134 @default.
- W4210369733 hasConcept C41008148 @default.
- W4210369733 hasConcept C41895202 @default.
- W4210369733 hasConcept C43169469 @default.
- W4210369733 hasConcept C547195049 @default.
- W4210369733 hasConcept C55493867 @default.
- W4210369733 hasConcept C56739046 @default.
- W4210369733 hasConcept C94124525 @default.
- W4210369733 hasConceptScore W4210369733C108827166 @default.
- W4210369733 hasConceptScore W4210369733C136764020 @default.
- W4210369733 hasConceptScore W4210369733C138885662 @default.
- W4210369733 hasConceptScore W4210369733C154945302 @default.
- W4210369733 hasConceptScore W4210369733C160735492 @default.
- W4210369733 hasConceptScore W4210369733C17744445 @default.
- W4210369733 hasConceptScore W4210369733C185592680 @default.
- W4210369733 hasConceptScore W4210369733C199539241 @default.
- W4210369733 hasConceptScore W4210369733C2777146004 @default.
- W4210369733 hasConceptScore W4210369733C2779041454 @default.
- W4210369733 hasConceptScore W4210369733C39549134 @default.
- W4210369733 hasConceptScore W4210369733C41008148 @default.
- W4210369733 hasConceptScore W4210369733C41895202 @default.
- W4210369733 hasConceptScore W4210369733C43169469 @default.
- W4210369733 hasConceptScore W4210369733C547195049 @default.
- W4210369733 hasConceptScore W4210369733C55493867 @default.
- W4210369733 hasConceptScore W4210369733C56739046 @default.
- W4210369733 hasConceptScore W4210369733C94124525 @default.
- W4210369733 hasLocation W42103697331 @default.
- W4210369733 hasOpenAccess W4210369733 @default.
- W4210369733 hasPrimaryLocation W42103697331 @default.
- W4210369733 hasRelatedWork W1526934728 @default.
- W4210369733 hasRelatedWork W2152325280 @default.
- W4210369733 hasRelatedWork W2339500300 @default.
- W4210369733 hasRelatedWork W2748952813 @default.
- W4210369733 hasRelatedWork W2754019464 @default.
- W4210369733 hasRelatedWork W2898841477 @default.
- W4210369733 hasRelatedWork W2899084033 @default.
- W4210369733 hasRelatedWork W2972417103 @default.
- W4210369733 hasRelatedWork W4210369733 @default.
- W4210369733 hasRelatedWork W2520586880 @default.
- W4210369733 isParatext "false" @default.
- W4210369733 isRetracted "false" @default.
- W4210369733 workType "article" @default.