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dc.contributor.authorWang, Hua
dc.contributor.authorGupta, Sneha
dc.contributor.authorSinghal, Arvind
dc.contributor.authorMuttreja, Poonam
dc.contributor.authorSingh, Sanghamitra
dc.contributor.authorSharma, Poorva
dc.contributor.authorPiterova, Alice
dc.date.accessioned2022-08-02T09:19:54Z
dc.date.available2022-08-02T09:19:54Z
dc.date.created2022-01-28T15:21:39Z
dc.date.issued2022
dc.identifier.issn1438-8871
dc.identifier.urihttps://hdl.handle.net/11250/3009743
dc.description.abstractBackground: Leveraging artificial intelligence (AI)–driven apps for health education and promotion can help in the accomplishment of several United Nations sustainable development goals. SnehAI, developed by the Population Foundation of India, is the first Hinglish (Hindi + English) AI chatbot, deliberately designed for social and behavioral changes in India. It provides a private, nonjudgmental, and safe space to spur conversations about taboo topics (such as safe sex and family planning) and offers accurate, relatable, and trustworthy information and resources. Objective: This study aims to use the Gibson theory of affordances to examine SnehAI and offer scholarly guidance on how AI chatbots can be used to educate adolescents and young adults, promote sexual and reproductive health, and advocate for the health entitlements of women and girls in India. Methods: We adopted an instrumental case study approach that allowed us to explore SnehAI from the perspectives of technology design, program implementation, and user engagement. We also used a mix of qualitative insights and quantitative analytics data to triangulate our findings. Results: SnehAI demonstrated strong evidence across fifteen functional affordances: accessibility, multimodality, nonlinearity, compellability, queriosity, editability, visibility, interactivity, customizability, trackability, scalability, glocalizability, inclusivity, connectivity, and actionability. SnehAI also effectively engaged its users, especially young men, with 8.2 million messages exchanged across a 5-month period. Almost half of the incoming user messages were texts of deeply personal questions and concerns about sexual and reproductive health, as well as allied topics. Overall, SnehAI successfully presented itself as a trusted friend and mentor; the curated content was both entertaining and educational, and the natural language processing system worked effectively to personalize the chatbot response and optimize user experience. Conclusions: SnehAI represents an innovative, engaging, and educational intervention that enables vulnerable and hard-to-reach population groups to talk and learn about sensitive and important issues. SnehAI is a powerful testimonial of the vital potential that lies in AI technologies for social good.en_US
dc.language.isoengen_US
dc.relation.urihttps://doi.org/10.2196/29969
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectartificial intelligenceen_US
dc.subjectchatboten_US
dc.subjectFacebooken_US
dc.subjectaffordanceen_US
dc.subjectsex educationen_US
dc.subjectsexual and reproductive healthen_US
dc.subjectcontraceptionen_US
dc.subjectcase studyen_US
dc.subjectyoung peopleen_US
dc.subjectIndiaen_US
dc.subjecttransmediaen_US
dc.subjectmobile appsen_US
dc.subjectmobile healthen_US
dc.subjecttechnology designen_US
dc.subjectuser engagementen_US
dc.subjectdigital healthen_US
dc.subjectmobile phoneen_US
dc.titleAn Artificial Intelligence Chatbot for Young People’s Sexual and Reproductive Health in India (SnehAI): Instrumental Case Studyen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.subject.nsiVDP::Samfunnsvitenskap: 200en_US
dc.source.volume24en_US
dc.source.journalJournal of Medical Internet Researchen_US
dc.source.issue1en_US
dc.identifier.doi10.2196/29969
dc.identifier.cristin1992729
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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