| Numéro |
Radioprotection
Volume 60, Numéro 3, Juillet-Septembre 2025
|
|
|---|---|---|
| Page(s) | 211 - 220 | |
| DOI | https://doi.org/10.1051/radiopro/2024056 | |
| Publié en ligne | 15 septembre 2025 | |
Article
Producing nuclear disaster prevention materials with artificial intelligence chatbots: comparison of ChatGPT-3.5, Copilot, and Gemini output with google search results
1
School of Nursing, Kitasato University, 1-15-1, Kitasato, Minami-ku, Sagamihara-city, Kanagawa 252-0373, Japan
2
University hospital Medical Information Network (UMIN) Center, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
3
Department of Health Communication, School of Public Health, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
* Corresponding author: shinyai@nrs.kitasato-u.ac.jp
Received:
19
August
2024
Accepted:
24
November
2024
Objective: To compare the understandability, actionability, and readability of AI chatbot-generated text and webpage text about nuclear disasters. Methods: In this cross-sectional study, we compared the understandability, actionability, and readability of ChatGPT-3.5, Copilot, and Gemini generated texts and web page sentences about radiation. The keywords related to radiation were extracted using Google Trends. A Google search was performed using the extracted keywords, and the top 8 pages for each keyword were extracted. The AI chatbot generated two types of sentences: normal level and 6th grade level. The Japanese version of the Patient Education Materials Assessment Tool (PEMAT-P) was used to rate the understandability and actionability of each text. The higher the score, the higher the perceived ease of understandability and actionability and the cutoff for both was set at 70%. The jReadability was used to quantitatively assess the readability of Japanese texts. Results: With regard to understandability, Copilot (n = 22, 71.0%) and Gemini (n = 26, 92.9%) 6th grade level texts had significantly higher percentages of 70 or higher, while Google Search had a significantly lower percentage of 70 or higher (n = 58, 32.8%; p < .05). Gemini at the normal level (n = 69, 55.2%) and Copilot (n = 74, 55.6%) and Gemini (n = 73, 56.2%) at the 6th grade level had significantly higher percentages of very readable to somewhat difficult responses (p < .05). Conclusions: The Japanese sentences generated by the AI chatbot were easier to read than the Google search results; the prompt of 6th grade level improved the readability of Japanese sentences. Thus, the AI chatbot can be an effective tool to promote understanding of radiation disaster prevention.
Key words: nuclear power / patient education / ChatGPT / Copilot / Gemini
© S. Ito et al., Published by EDP Sciences 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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