An Artificial Intelligence Chatbot for Young People’s Sexual and Reproductive Health in India (SnehAI): Instrumental Case Study

Background 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.

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An Artificial Intelligence Chatbot for Young People’s Sexual and Reproductive Health in India (SnehAI): Instrumental Case Study (Preprint)

10.2196/preprints.29969 ◽

2021 ◽

Author(s):

Hua Wang ◽

Sneha Gupta ◽

Arvind Singhal ◽

Poonam Muttreja ◽

Sanghamitra Singh ◽

...

Keyword(s):

Artificial Intelligence ◽

Reproductive Health ◽

Language Processing ◽

Sexual And Reproductive Health ◽

Processing System ◽

User Engagement ◽

Social Good ◽

Instrumental Case Study ◽

Instrumental Case

BACKGROUND 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. CLINICALTRIAL

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Enhancing social accountability through adolescent and youth leadership: a case study on sexual and reproductive health from Gujarat, India

Gender & Development ◽

10.1080/13552074.2021.1886684 ◽

2021 ◽

Vol 29 (1) ◽

pp. 151-169

Author(s):

Sangeeta Mecwan ◽

Manushi Sheth ◽

Renu Khanna

Keyword(s):

Reproductive Health ◽

Sexual And Reproductive Health ◽

Social Accountability ◽

Youth Leadership

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An Investigation of the Successful Implementation of Innovative Instructional Techniques in a STEAM Elementary School: An Instrumental Case Study

10.17918/00000333 ◽

2021 ◽

Author(s):

Amanda S. Ward

Keyword(s):

Elementary School ◽

Successful Implementation ◽

Instructional Techniques ◽

Instrumental Case Study ◽

Instrumental Case

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Case study on sexual and reproductive health and education: reflections on interlinkage and governance

Thinking Beyond Sectors for Sustainable Development ◽

10.5334/bao.j ◽

2015 ◽

pp. 89-107

Author(s):

Susannah Mayhew ◽

Elaine Unterhalter ◽

Nigel Poole ◽

Niheer Dasandi ◽

Niall Winters

Keyword(s):

Reproductive Health ◽

Sexual And Reproductive Health

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IWEARUP.COM USER INTERFACE ANALYSIS

VISUALITA ◽

10.33375/vslt.v7i2.1459 ◽

2019 ◽

Vol 7 (2) ◽

pp. 31-44

Author(s):

Irma Rochmawati

Keyword(s):

User Interface ◽

Web Design ◽

Website Design ◽

Interface Analysis ◽

Instrumental Case Study ◽

Fashion Products ◽

Visual Hierarchy ◽

Instrumental Case ◽

Marketing Tool

IWEARUP.COM is a website that is an e-commerce based. It contains information about buying, selling, distributing, and marketing fashion products. A business website is an example of using design as a marketing tool. Display of charming website with design is an attraction. However, a good website design must be able to display information clearly. Especially how to make the interface possible as it is not confused with the information displayed. Poor interfaces affect the users productivity or experience in visiting a website. This is a visual hierarchy which is the most important principles behind every website design. With an instrumental case study of the approach to produce conclusions that can be applied in designing e-commerce-based website. The goal is to make the website design in line with the content that will increase the website design and increase knowledge about the visual hierarchy of web design and its relation to the user interface.

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Elementos del conocimiento especializado del profesor de matemáticas que se requieren para atender situaciones afectivas en el aula

revistamultidisciplinar.com ◽

10.23882/di2160 ◽

2021 ◽

Vol 3 (1) ◽

pp. 101-112

Author(s):

Veronica Aguilar-Mendieta ◽

◽

Eric Flores-Medrano ◽

Keyword(s):

Affective Domain ◽

Qualitative Investigation ◽

Specialized Knowledge ◽

Instrumental Case Study ◽

Instrumental Case

The main of this article is to establish the elements of the Mathematics Teacher's Specialized Knowledge (MTSK) that are used to give timely attention to situations of affective domain in the classroom. We start from the assumption that to deal with this type of situation it is necessary to know the problem and its causes, but it also requires different knowledge that allows the teacher to deal with these situations effectively. Thus, a qualitative investigation was carried out from an instrumental case study. Regarding the results, it was found that indeed some elements of the MTSK are used to address affective situations in the classroom. For example, knowledge about these strategies, techniques, tasks and appropriate examples is used to promote motivation in students and the usefulness they attribute to mathematics.

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