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Comparative evaluation of ChatGPT versions in training program design: scientific approach, accuracy, and practical
Ayça Genç1, Gökhan Recep Aydın2, Murat Kasap2
1Bartın University, Faculty of Sport Science, Bartin, Türkiye. aycagenc@bartin.edu.tr.
This study found that newer ChatGPT versions (4.1 and 4o) generated better resistance training programs than ChatGPT-3.5, though human expert oversight remains crucial for safe and effective AI-generated exercise plans.
Area of Science:
- Sports Science and Exercise Physiology
- Artificial Intelligence in Fitness
- Human-Computer Interaction in Training
Background:
- Evaluating AI's role in fitness program generation is crucial.
- Different AI models may vary in their ability to create effective training plans.
Purpose of the Study:
- To compare the scientific accuracy and practical use of ChatGPT versions for creating resistance training programs.
- To assess AI-generated training plans against expert standards.
Main Methods:
- Mixed-methods approach using expert-designed instruction sets for ChatGPT-3.5, 4o, and 4.1.
- Generation of 12-week resistance training programs for a hypothetical individual.
- Systematic evaluation of programs using a rubric and statistical analysis (Friedman test, Wilcoxon signed-rank test).
Main Results:
- Statistically significant differences in program quality were found between ChatGPT versions (p < .05).
- ChatGPT-4.1 demonstrated superior detail, internal consistency, and literature support compared to other versions.
- Expert analysis confirmed variations in scientific rigor and applicability across models.
Conclusions:
- AI tools like ChatGPT show potential for generating structured exercise programs aligned with scientific principles.
- Despite advancements, human expert involvement is essential for ensuring safety, evidence-based content, and individualization in AI-assisted training plans.
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