A machine-learning apprentice for the completion of repetitive forms

The authors have developed a software environment in which workers can complete repetitive forms, and a machine-learning and prediction system that works within it. The nonintrusive assistant or apprentice provides viable default values for blank fields in a form, saving users up to 87 percent in keystroke effort and correctly predicting nearly 90 percent of the form´s values. The system and prediction methods are active, yet not intrusive. Default predictions are always displayed, yet the user can override them easily with normal editing commands.<>