Development and Validation of Conversational Agent to Pregnancy Safe-education.
Pregnant women constantly need some information to support nutritional decisions during pregnancy, and many do not receive such assistance at all. This study aims to present a conversational agent to provide reliable information to pregnant women, focusing on nutritional education and evaluating the...
| Publicado en: | Journal of Medical Systems Vol. 47; no. 1; pp. 1 - 12 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=161820949&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 161820949 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: 2023 vid: 47 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 161820949 161820949 161820949 10.1007/s10916-022-01903-2 161820949 ppf: 1 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Development and Validation of Conversational Agent to Pregnancy Safe-education. aug: au: Montenegro, João Luis Zeni da Costa, Cristiano André da Rosa Righi, Rodrigo Farias, Elson Romeu Matté, Lara Balen affil: Software Innovation Laboratory - SOFTWARELAB, Programa de Pós-Graduação em Computação Aplicada, Universidade do Vale do Rio dos Sinos - Unisinos, Av. Unisinos 950, 93022-000, São Leopoldo, RS, Brazil sug: subj: Health Personnel Psychosocial Factors Attitude of Health Personnel Evaluation Expectant Mothers Psychosocial Factors Maternal Attitudes Evaluation User-Computer Interface Health Information Access to Information Nutrition Education Expectant Mothers Education Human Female Support, Psychosocial Prenatal Care Pilot Studies Convenience Sample Snowball Sample Adolescence Adult Nutritionists Obstetricians Physicians, Family Questionnaires Descriptive Statistics T-Tests Data Analysis Software Funding Source Health Knowledge Adolescent: 13-18 years Adult: 19-44 years Female ab: Pregnant women constantly need some information to support nutritional decisions during pregnancy, and many do not receive such assistance at all. This study aims to present a conversational agent to provide reliable information to pregnant women, focusing on nutritional education and evaluating the perception of pregnant women and health professionals about the agent. As a scientific contribution, this article developed and implemented a conversational agent in a real environment capable of generating reliable responses on the basis of a set of health documents. We proposed an intervention study with 25 women and 10 healthcare providers through a survey to measure the perceptions of these groups towards conversational agents. The results show that the intended design could ensure positive support for pregnant women, clarify certain issues for the public, and remove some knowledge barriers. The results showed no significant difference between the groups (p-value = 0.713). Depending on the perception of the pregnant group, the conversational agent model can teach new knowledge during the prenatal period (Mean = 4.56). The model presented for health professionals could already be indicated as a support tool for pregnant women (Mean = 4.7). pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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