Comparative Analysis of AI on Human Nutrition Knowledge: Evaluating Large Language Model-Based Conversational Agents against Dietetics Students and the General Population
The dataset includes the scored responses of four Large Language Models (ChatGPT-3.5 (OpenAI), ChatGPT-4 (OpenAI), Google Bard (currently known as Google Gemini), and Microsoft Copilot) to the GNKQ-R questionnaire as well as the human comparison data (summary statistics from the published validation study: Kliemann N, Wardle J, Johnson F, Croker H. Reliability and validity of a revised version of the General Nutrition Knowledge Questionnaire. Eur J Clin Nutr. 2016 Oct;70(10):1174-1180. doi: 10.1038/ejcn.2016.87. Epub 2016 Jun 1. PMID: 27245211; PMCID: PMC5014128), while the accompanying code reproduces all statistical analyses.
Institutions
- University of Modena and Reggio Emilia (IT)
- University of Parma (IT)
- Unité de Nutrition Humaine (FR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-09-20
- DOI
- https://doi.org/10.5281/zenodo.17166245
- Primary Topic
- Rock Mechanics and Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00