Using Causal Trees to Estimate Personalized Task Difficulty in Post-Stroke Individuals

arXiv:2403.04109v1 Announce Type: cross
Abstract: Adaptive training programs are crucial for recovery post stroke. However, developing programs that automatically adapt depends on quantifying how difficult a task is for a specific individual at a particular stage of their recovery. In this work, we propose a method that automatically generates regions of different task difficulty levels based on an individual's performance. We show that this technique explains the variance in user performance for a reaching task better than previous approaches to …

abstract adapt arxiv cs.hc cs.lg cs.ro however personalized recovery stage stroke training trees type work