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. 2023 Dec 13;41(2):221–241. doi: 10.5114/biolsport.2024.133661

TABLE 2.

Scenario 1: Interaction with generative pre-trained transformer 4 (GPT-4).

Detailed walking session generated by GPT-4

Time (min) Activity Intensity Rate of perceived exertion
0–5 Warm-up: slow walking Low (50% MHR) 2 to 3

5–10 Walking Moderate (60% MHR) 4 to 5

10–20 Walking Moderate-High (70% MHR) 6 to 7

20–25 Walking Moderate (60% MHR) 4 to 5

25–30 Cool-down: slow walking Low (50% MHR) 2 to 3

Detailed strength training session (whole body) generated by GPT-4

Time (min) Exercise Sets × Reps (second); Intensity Rate of perceived exertion

0–5 Warm-up: light cardio, dynamic stretching Not applied; Low 2 to 3

5–10 Squats 3 × 10; Moderate (60% 1RM) 5 to 6

10–15 Lunges 3 × 10; Moderate (60% 1RM) 5 to 6

15–20 Push-ups 3 × 10; Moderate (60% 1RM) 5 to 6

20–25 Seated Row 3 × 10; Moderate (60% 1RM) 5 to 6

25–30 Core exercises (eg; planks) 3 × 30; Moderate 5 to 6

30–35 Cool-down: static stretching Not applied; Low 2 to 3

1RM: One repetition maximum. MHR: Maximal heart rate.