Individual Differences in Learning Manual Control of Dynamic Balancing

This lecture explores individual differences in learning manual control of dynamic balancing in a spaceflight analog task. Subjects use a joystick to balance themselves, providing insights into central processing of balance control. The lecture covers the role of semicircular canals, otoconia, and hair cells in balance, as well as the learning paradigms and challenges faced in the absence of gravitational cues. It discusses the significant variability in learning outcomes and the impact of different strategies on performance, highlighting the use of machine learning to cluster groups based on performance metrics. The lecture concludes with the observation that providing correct strategies did not improve performance due to the lack of feedback during learning.