Estimating Personalized Task Difficulty in Post-Stroke Individuals Using Causal Trees

The author proposes a method using causal trees to automatically generate regions of different task difficulty levels based on individual performance, outperforming previous approaches. The main thesis is to develop a technique that estimates task difficulty based on features without the need for robots to exert forces on users.