Prediction Models for Individuals' Control Skill Development and Retention using XGBoost and SHAP

Current capabilities for predicting skill retention, i.e., the extent to which human operators retain learned skills over time, at an individual level are limited due to a requirement for large data sets and methods that can extract relevant patterns in highly dimensional data. This paper investigates the application of Extreme Gradient Boosting...

Time-varying perceived motion mismatch due to motion scaling in curve driving simulation

In motion simulation, motion input scaling is often applied to deal with the limited motion envelopes of motion simulators. In this research, the time-varying effects of scaling the lateral specific force up or down during passive curve driving in a car driving simulation are investigated through a simulator experiment. It is concluded that...

Time-varying perceived motion mismatch due to motion scaling in curve driving simulation