AdolescentBot: Understanding Opportunities for Chatbots in Combating Adolescent Sexual and Reproductive Health Problems in Bangladesh

Title of the Paper

AdolescentBot: Understanding Opportunities for Chatbots in Combating Adolescent Sexual and Reproductive Health Problems in Bangladesh

Paper Information

• Field of Study: Human-Computer Interaction (HCI) and Public Health Research
• Keywords: Adolescent Health, Chatbots, HCI4D, Bangladesh, Sexual and Reproductive Health

Research Background and Problem

• Identified Problems or Challenges: Adolescents in Bangladesh rarely discuss sexual and reproductive health issues openly due to societal taboos and feelings of shame, leading to severe psychological and physical health problems. Additionally, the lack of medical resources and insufficient coverage of professional healthcare facilities exacerbate the difficulty of accessing health information.
• Significance of the Problem: Approximately 36 million adolescents in Bangladesh, accounting for one-fifth of the national population, lack reliable sexual and reproductive health information and services. This not only affects their personal development but also indirectly impacts the country's development potential.
• Motivation and Related Work: While adolescent health-related technologies have made progress in developed countries, there is limited research in conservative societies like Bangladesh. The authors believe that a chatbot-based solution can effectively provide private and readily available adolescent health consultation services.

Solution

• Proposed Solution: Development of an interactive chatbot named “AdolescentBot” to provide information and support on sexual and reproductive health to adolescents in Bangladesh.
• Innovative Features:
  1. Interaction with adolescents in the local language (Bengali) to reduce barriers caused by language.
  2. Integration of an intelligent Q&A system that retrieves data from reliable local resources and designs a knowledge base to support health consultations.
  3. Culturally sensitive and privacy-focused design to address ethical and social concerns.
• Implementation Steps and Key Technologies:
  1. Design of a knowledge base through data collection, including definitions, symptoms, causes, and recommendations for common health issues.
  2. Use of NLP tools (e.g., Wit.ai) to analyze user input and identify query types and user intent.
  3. Development of a query similarity-based retrieval system (e.g., using ChatterBot) to provide responses matching the knowledge base.
  4. Design of a chatbot interface (including mobile and desktop versions) and integration into the Facebook Messenger platform.

Research Outcomes

• Specific Outcomes:
  1. Responses from 256 participants, including adolescents from rural and urban areas and healthcare professionals, were collected to record user interaction patterns and query types.
  2. It was found that 85% of user queries were simple and could be directly answered by the chatbot.
  3. Users reported that the chatbot provided a privacy-friendly interaction experience and reduced reliance on traditional misconceptions.
• Advantages:
  1. Compared to traditional face-to-face consultations, the chatbot can provide private health information anytime and anywhere.
  2. It reduces the time spent searching for information in books or unreliable online sources.
  3. It offers timely and accurate responses at a low cost, improving service accessibility.
• Experimental or Evaluation Results:
  1. Users showed high acceptance of the chatbot's functionality, with 82.3% of participants providing positive feedback.
  2. Participants expressed greater trust in the chatbot as an anonymous and secure data platform.
  3. The chatbot demonstrated significant potential in reducing user stress and promoting health awareness.
• Limitations and Future Directions:
  1. The current chatbot cannot handle complex conditional issues, which require the intervention of medical professionals.
  2. The ability to process multilingual queries, regional languages, and informal terms needs to be enhanced.
  3. Future plans include further design improvements, expanded functionality, and large-scale deployment.

Discussion and Social Impact

• Social Impact: AdolescentBot can reduce barriers to adolescent health education caused by societal and cultural taboos, providing scientific reproductive health knowledge and promoting public health awareness. This technology can adapt to different cultural contexts and achieve equity and accessibility through inclusive design.
• Ethical Considerations:
  1. Clearly define the scope and functionality of the service to avoid unrealistic user expectations of the chatbot.
  2. Ensure data privacy and security to prevent misuse of user data.
  3. Adjust the design for cultural sensitivity to avoid conflicting with societal traditions while promoting the goals of social education.