Using Causal Trees to Estimate Personalized Task Difficulty in Post-Stroke Individuals
<|reference_start|>Using Causal Trees to Estimate Personalized Task Difficulty in Post-Stroke Individuals: 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 estimating task difficulty.<|reference_end|>
@article{dennler2024using,
    title={Using Causal Trees to Estimate Personalized Task Difficulty in
  Post-Stroke Individuals},
    author={Nathaniel Dennler, Stefanos Nikolaidis, and Maja Matari'c},
    journal={arXiv preprint arXiv:2403.04109},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.04109},
    primaryClass={cs.RO cs.HC cs.LG}
}