exercise

Exercise: Critique the model response

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Critique the AI response

Read each claim and mark it as Verified, Unverified or Rejected. For each rejected claim, write a short justification.

○ 0 of 6 claims marked

Source: Claude Sonnet · a prepared sample the whole class analyses.
Claim 1

Smartwatches measure heart rate using light transmitted through the skin. The measurement is based on light absorption by blood vessels, known as the PPG method, and its accuracy varies by individual and circumstances.

Claim 2

Central nervous system fatigue does not show up in heart rate numbers alone. A smartwatch does not capture nerve signals between the brain and muscles, so deep fatigue after a mentally demanding day can look exactly the same in the data as a rest day.

Claim 3

Heart rate variability measurement, i.e., HRV, provides accurate information about an individual's stress and indicates when the body is ready for heavy workouts. Low HRV always means too much stress, and the body should then always rest.

Claim 4

Studies have shown that smartwatches measure blood oxygen saturation with 99.8 percent accuracy across all age groups and body types, making them as reliable as clinical measurements in hospitals.

Claim 5

Sleep quality scores calculated by smartwatches are based on motion sensor data and heart rate and are good tools for tracking sleep trends over time. However, they are not the same measurements as those in sleep studies that perform EEG measurements.

Claim 6

Body recovery is a purely anatomical process that smartwatches can measure and assess objectively. What people call feeling good or bad is simply a misinterpretation of bodily signals, and the watch's data is more reliable.

○ Mark 5 more claims (minimum 5 in total). Reject at least 2 claims (currently: 0)

Requirements: 5 claims marked · 2 rejected · 25 words of justification

Compare answers

Here you see two different ways to ask the AI for the same thing. Choose the answer you trust more and write a short justification, and the explanation will open.

Comparison 1 of 2

Prompt

Compare two ways of asking an AI to interpret an HRV measurement from a smartwatch, one without context and the other with a description of your own baseline, recent workouts, and body perception.

Answer A

My HRV today is 28. Is that good or bad?

Answer B

My HRV today is 28. My average for the last four weeks is 41. Yesterday I ran 10 kilometers and slept 6.5 hours according to my watch. I feel tired and my throat is a bit sore. What could this mean, and which of these factors might the watch be forgetting?

- 0 / 5 words

- Choose an answer to continue

Comparison 2 of 2

Prompt

Compare two ways of using smartwatch data to determine if the body needs rest, one relying entirely on the device and the other combining measurements with body perception.

Answer A

My app says my recovery is 82 out of 100 so I am ready. I am going for a heavy training session today.

Answer B

The app shows a recovery of 82 out of 100, but I feel tired and my focus is poor this morning. For the past three weeks, I have trained six days a week. I suspect central nervous system fatigue is accumulating, which the watch does not capture. I am going to listen to my body and take an easy day even though the device says otherwise.

- 0 / 5 words

- Choose an answer to continue

Self-check rubric, accountability document

Mark each criterion once you have met it. When you mark it, a three-level descriptor opens, compare your own work against each level.

- 0 of 5 criteria confirmable

Final decision

No claims found. Finish the critique exercise first, that is where the accountability document draws your data from.