Getting nowhere fast: trade-off between speed and precision in training to execute image-guided hand-tool movements.

Performance evolution towards optimal precision is compromised when novices start by going as fast as they can. The findings have direct implications for individual skill monitoring in training programmes for image-guided technology applications with human operators.