Momona Yamagami

The paper develops a computational framework using control and game theory to predict and optimize user-decoder interactions in co-adaptive neural interfaces through experimental validation.

This study investigates co-adaptation between humans and dynamic machine interfaces, finding that performance and human effort trade-off and developing a model to explain adaptation strategies.

This study examines how handedness affects learned controllers and performance in trajectory-tracking tasks, finding no significant differences between hands.