Interesting personalized cognitive-training framing (esp. for cognitive health research contexts).
One literature cluster that may help readers calibrate outcome claims for any cognitive-training chatbot / drill set:
- Gains on trained tasks (near transfer) — common
- Gains on similar untrained tasks — mixed
- Broad fluid-intelligence / general-ability gains (far transfer) — weak or absent under active controls in many WM / commercial training reviews
That split is useful even when the intervention is conversational rather than dual n-back.
I keep a short open map of that claim-size landscape:
https://intelligencemax.ai/guide
Feel free to ignore. Disclosure: I build IntelligenceMax (adaptive reasoning practice). Not claiming it prevents AD or raises general intelligence.
Interesting personalized cognitive-training framing (esp. for cognitive health research contexts).
One literature cluster that may help readers calibrate outcome claims for any cognitive-training chatbot / drill set:
That split is useful even when the intervention is conversational rather than dual n-back.
I keep a short open map of that claim-size landscape:
https://intelligencemax.ai/guide
Feel free to ignore. Disclosure: I build IntelligenceMax (adaptive reasoning practice). Not claiming it prevents AD or raises general intelligence.