Understanding human movement requires models that not only reproduce observed behavior, but also provide interpretable insight into the control and decision-making processes involved. The WhiteBox workshop presented modeling approaches for different human movement tasks – from upper limb actions to whole-body locomotion – and illustrated how whitebox modeling can unify sensorimotor behavior in different domains.

The aims of the workshop were to present practical examples of interpretable modeling of human movement and to discuss the methodological challenges and advantages of whitebox approaches across disciplines.

Presentations:

• Omid Mohseni: Modeling Balance Recovery Strategies Following Gyroscopic Moment Perturbations
• Niteesh Midlagajni: Modeling Human Pouring Behavior using System Identification and Optimal Control Methods
• Matthias Schultheis: Modeling human sensorimotor tasks using stochastic optimal control
• Fabian Kessler: Modeling navigation behavior based on landmark-guided walking, gaze and body orientation

Chair: Constantin Rothkopf, Organization: Dirk Balfanz.