Parenting Journal · Volume 2 · Issue 5 · Licensed source edition
Participatory Development and Pilot Testing of an Adolescent Health Promotion Chatbot
Originally published 2021-11-11 · Frontiers in Public Health
Frontiers Media SA · DOI 10.3389/fpubh.2021.724779 ↗
AI / system type
Earlier intent-based NLP conversational agent with authored responses; not generative AI
Child-facing evidenceExamines children or child-focused systems. Transfer to everyday family life must be assessed separately.
The AI connection
A Dialogflow/NLP chatbot with curated health-promotion responses was developed alongside a self-regulation app and activity tracking.
Why this reading matters
Useful for treating young people’s feedback as evidence that can challenge a design, including an apparently well co-designed intervention.
Editorial reading guide · Collaboration
If an adolescent helps choose a health chatbot, how can their priorities shape its language, boundaries, and human support?
Demonstrates both the promise and limits of inviting adolescents into chatbot design. Participants wanted confidential, youth-relevant conversation, small talk, and support broader than health instructions. Despite iterative development, misunderstandings and stalled conversations limited engagement. Their preferences are evidence about design fit; they do not establish a health-behavior benefit.
Study context
Dutch secondary-school adolescents: focus groups with 36, log-based pretesting with six, and a pilot analysis involving 73 students
Age / stage: Adolescents 12–15 years
Read with three questions
- Which adolescent preferences changed the chatbot beyond the researchers’ initial health-promotion aims?
- What did conversation failures reveal about the gap between natural-language expectations and the bot’s actual capabilities?
- Which engagement and health outcomes would need longer and more diverse testing?
Keep the limits in view
Only three of 20 approached schools participated, and school convenience recruitment and small qualitative samples limit transfer. The pilot was short and did not establish durable behavior change. Intent-based NLP frequently failed to understand input, so the findings should not be described as a trial of current LLM conversation.
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Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.
Laura Maenhout; Carmen Peuters; Greet Cardon; Sofie Compernolle; Geert Crombez; Ann DeSmet (2021). Participatory Development and Pilot Testing of an Adolescent Health Promotion Chatbot Frontiers in Public Health. https://doi.org/10.3389/fpubh.2021.724779
Permissions checked against the saved article notice; repository publication notices screened 2026-11-04. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.