Assessment of Recommendations Provided to Athletes Regarding Sleep Education by GPT-4o and Google Gemini: Comparative Evaluation Study
Both LLMs exhibit limitations, neglecting vital criteria of sleep education. Sleep recommendations by GPT-4o and Google Gemini were evaluated as suboptimal, with GPT-4o achieving higher overall ratings. However, both LLMs demonstrated improved recommendations with higher information input granularity, emphasizing the need for specificity and a thorough review of outputs to securely implement artificial intelligence technologies into sleep education.
Authors
- Haresh Suppiah (ORCID: https://orcid.org/0000-0001-9828-2349)
- Manuel Matzka (ORCID: https://orcid.org/0000-0002-2771-3030)
- Matthew Driller (ORCID: https://orcid.org/0000-0002-9990-8830)
- Billy Sperlich (ORCID: https://orcid.org/0000-0003-4686-8561)
- Peter Düking (ORCID: https://orcid.org/0000-0003-0277-9858)
- Lukas Masur (ORCID: https://orcid.org/0009-0009-4011-7135)
Institutions
- La Trobe University (AU)
- University of Würzburg (DE)
- Technische Universität Braunschweig (DE)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-03-11
- DOI
- https://doi.org/10.2196/71358
- Citations
- 3
- Primary Topic
- High Altitude and Hypoxia
- Type
- article
- Field-Weighted Citation Impact
- 5.45