
M1 Room
Models of Human Behaviour
M1 develops formal and computational models for predicting complex goal-oriented actions and multi-agent collaborations across time scales to advance Human-in-the-Loop computations for digital technologies.
Key Questions
Approach
- Sensorimotor Sequences: Extend current models to multi-joint movements, validated with motion capture and brain imaging data.
- Collaborative Actions: Extend POMDPs to represent state transitions in joint actions, in collaboration with F1, M2, and U1.
- Skill Learning: Detect errors and provide real-time feedback during skill acquisition, tested in surgery (U1).
Expected Results
- Full specification of hierarchical models and collaborative action models.
- Integration of contextual inference to simulate expert performance.