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

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

  • By

  • Run Huang

  • Joseph Cecil

  • Marjorie Freedman

  • Souti Chattopadhyay

  • July 14, 2026

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Objective:

To explore the factors influencing trust and satisfaction in AI medical chatbots among caregivers seeking advice on pediatric infectious diseases.

Approach:
  • Survey Methodology: A mixed methods survey was conducted targeting caregivers to gather insights on their experiences and perceptions of AI medical chatbots.
Key Findings:
  • Caregivers prioritize accuracy, clarity, and tone in chatbot responses.
  • Trust in AI chatbots is significantly influenced by the perceived reliability of the information provided.
  • Satisfaction levels correlate with the ease of understanding and the appropriateness of the chatbot's responses.
Interpretation:

Limitations:
  • The study may not be generalizable beyond the specific population of caregivers surveyed.
  • Potential biases in self-reported data from caregivers.
Conclusion:

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