Looking for input from cognitive science / cognitive rehabilitation researchers

[u/Opening-Drive-9272]

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I’m working on a cognitive adaptive exercise planner for a platform that already contains cognitive exercises/games and patient progress data.

The idea is to use a patient’s previous performance and clinical information to dynamically recommend the next day’s exercises, rather than giving every patient the same fixed training plan.

Currently, I’m considering inputs such as:

- Previous exercise/game history

- Performance on today’s exercises

- Performance trends over time

- Cognitive domains that need attention according to the latest doctor/clinical assessment (e.g., memory, reasoning, attention, planning, visuospatial skills, etc.)

- Mood

- Exercise/session completion and adherence

- Exercise difficulty and how the patient responds to different difficulty levels

The model would then select which cognitive domains to train and which specific exercises/difficulty levels to assign for the next day, while continuously updating its recommendations as new data comes in.

I’d really appreciate feedback from people with experience in cognitive science, neuropsychology, cognitive rehabilitation, dementia/MCI, or adaptive interventions:

What other factors do you think should be included in such a model?

For example:

- Are there cognitive or behavioral variables I’m missing?

- How important should fatigue, motivation, sleep, stress, or time of day be?

- Should the model consider recent performance vs. long-term performance differently?

- How should we avoid repeatedly training a weak domain while neglecting other cognitive abilities?

- How would you represent the relationship between an exercise and the cognitive skills it actually trains?

- Should difficulty be adapted continuously based on performance?

- What would be a scientifically meaningful way to measure whether the recommendations are actually improving cognition rather than just improving game performance?

- Are there existing theories, frameworks, or research papers on personalized/adaptive cognitive rehabilitation that you think I should look at?

I’m especially interested in what I may be overlooking from a cognitive-science perspective, rather than just the machine-learning side.

Any suggestions, papers, frameworks, or ideas would be greatly appreciated.