Parenting Journal · Volume 2 · Issue 5 · Licensed source edition
Emotional Reactions and Likelihood of Response to Questions Designed for a Mental Health Chatbot Among Adolescents: Experimental Study
Originally published 2021-03-18 · JMIR Human Factors
JMIR Publications Inc. · DOI 10.2196/24343 ↗
AI / system type
Hypothetical chatbot interface and prewritten questions; no live GenAI
Child-facing evidenceExamines children or child-focused systems. Transfer to everyday family life must be assessed separately.
The AI connection
Potential mental-health chatbot prompts were experimentally displayed; no autonomous AI conversation or generative model was tested.
Why this reading matters
Turns vague claims about caring chatbot design into testable details that parents and teens can discuss together.
Editorial reading guide · Kindness
Which ways of asking about feelings help my teenager feel comfortable rather than interrogated?
Makes the experience of being asked about feelings concrete. Multiple-choice questions generally elicited more positive reactions and greater stated willingness to answer than open-ended questions; GIFs affected emotional valence but not willingness, and friendly versus professional tone was not significant. A welcoming interface is therefore a design question, not evidence of empathy or treatment.
Study context
19 community adolescents in Montreal; each rated 96 possible chatbot questions shown briefly on a screen.
Age / stage: 14–17 years
Read with three questions
- Why did multiple-choice questions outperform open-ended questions on stated willingness to respond in this task?
- How did GIFs influence emotional valence without increasing willingness to answer?
- What is lost when adolescents rate imagined chatbot questions instead of using a live support conversation?
Keep the limits in view
Small convenience sample and a repetitive laboratory task susceptible to fatigue. Responses were imagined intentions, not actual disclosures, sustained use or mental-health change. The experiment manipulated only three interface features; it did not establish a clinically empathic conversational system.
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Audrey Mariamo; Caroline Elizabeth Temcheff; Pierre-Majorique Léger; Sylvain Senecal; Marianne Alexandra Lau; Andre Kushniruk; Stefan Morana; Alfred Brendel; Rebecca Krukowski; Monet Slinowsky (2021). Emotional Reactions and Likelihood of Response to Questions Designed for a Mental Health Chatbot Among Adolescents: Experimental Study JMIR Human Factors. https://doi.org/10.2196/24343
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.