Metrics of Motor Learning for Analyzing Movement Mapping in Virtual Reality

Explore a 15-minute conference talk from CHI 2024 that delves into new metrics for analyzing movement mapping in virtual reality. Learn how researchers design and evaluate metrics based on motor learning literature to quantify user adaptation to modified body movements in VR. Discover insights into three object selection and manipulation tasks involving linear-translational and nonlinear-rotational gains, as well as finger-to-arm mapping. Gain understanding of how these metrics capture learning behaviors beyond traditional task completion time measurements, providing valuable insights for improving VR interaction techniques.