← Trust · 20 readings

Parenting Journal · Volume 1 · Issue 2 · Licensed source edition

Factors Shaping Trust and Satisfaction With AI Medical Chatbots: A Mixed Methods Vignette Survey of Caregivers Seeking Guidance on Pediatric Infectious Diseases

Run Huang; Joseph Cecil; Marjorie Freedman; Souti Chattopadhyay; Qiao Jin

Originally published 2026-07-14 · Journal of Medical Internet Research
JMIR Publications Inc. · DOI 10.2196/88126 ↗

TrustMixed-methods caregiver vignette surveyCC BY 4.0
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AI / system type

Generative AI / GPT-4o response evaluation

Direct parenting evidence

Directly addresses parents or caregiving, including parent studies, syntheses and audits of parenting advice.

The AI connection

Caregivers rated GPT-4o-generated answers to clinician-approved pediatric questions.

Why this reading matters

Provides substantial end-user evidence that trust and satisfaction are multidimensional and can diverge from expert evaluation.

Editorial reading guide · Trust

Does an AI answer that feels useful and reassuring deserve the same level of trust?

The study distinguishes satisfaction with a helpful-sounding answer from reliable health guidance. It examines what caregivers actually value when judging AI responses.

Study context

191 US caregivers evaluating 1,146 static GPT-4o responses

Age / stage: Pediatric infectious-disease scenarios; no children enrolled

Read with three questions

  1. Which features did caregivers say mattered, and which predicted satisfaction?
  2. Why did empathy and disclaimers draw different reactions across situations?
  3. How does rating static responses differ from using a live chatbot for a child’s illness?

Keep the limits in view

The study used one model and static vignettes, with a predominantly White, digitally literate US sample. Satisfaction ratings do not establish clinical correctness, safer decisions or real-world outcomes.

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Attribution & reuse

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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.

CC BY 4.0 · License notice ↗Original repository record ↗

Run Huang; Joseph Cecil; Marjorie Freedman; Souti Chattopadhyay; Qiao Jin (2026). Factors Shaping Trust and Satisfaction With AI Medical Chatbots: A Mixed Methods Vignette Survey of Caregivers Seeking Guidance on Pediatric Infectious Diseases Journal of Medical Internet Research. https://doi.org/10.2196/88126

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.