A prediction model for steering tasks with user operational biases
Xiaolei Zhou · 2012
Steering law describes pointing devices motion based on trajectory tasks, such as drawing and writing. Current studies on steering tasks focus on effect of system factors (i.e., path width and amplitude) on the movement time and its related applications. We attempted to conduct a series of experiments to further explore the effect of different operational biases (bias speed or accuracy) on steering completion time and standard deviation for two steering shapes, i.e., a straight steering task and a circular steering task, and then, establish a new model accommodating system and subjective factor in steering tasks. Empirical results showed that the new model is more predictive and robust than the traditional steering law.