Comparison of Emotional Content in Text Responses From Physicians and AI Chatbots to Patient Health Queries: Cross-Sectional Study

Chatbot responses were significantly (P<.001) longer and more difficult to read than physician responses and were more likely to contain a wider range of emotions. Qualitatively, chatbot responses were more varied in their presentation as well as in the breadth of the emotions themselves. The findings of this study could be used to inform more emotionally connected physician responses to patient message queries.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2026-02-12
DOI
https://doi.org/10.2196/85516
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Comparison of Emotional Content in Text Responses From Physicians and AI Chatbots to Patient Health Queries: Cross-Sectional Study

Channing Bice, Daniel T. Burns, Nicholas Chia, Timothy Robinson et al.
Journal of Medical Internet Research
Artificial Intelligence in Healthcare and Education
article

Comparison of Emotional Content in Text Responses From Physicians and AI Chatbots to Patient Health Queries: Cross-Sectional Study

Channing Bice, Daniel T. Burns, Nicholas Chia, Timothy Robinson, Paul E Johnson
article en

Abstract

Chatbot responses were significantly (P<.001) longer and more difficult to read than physician responses and were more likely to contain a wider range of emotions. Qualitatively, chatbot responses were more varied in their presentation as well as in the breadth of the emotions themselves. The findings of this study could be used to inform more emotionally connected physician responses to patient message queries.

Journal of Medical Internet ResearchVol. 28
Argonne National Laboratory (US), University of Wyoming (US), University of Washington (US), Colorado State University (US)
Quality Education
Openalex Percentile: Top 61%
Artificial Intelligence in Healthcare and Education
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