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 ke...

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Bibliographic Details
Published in:IEEE expert 1994-02, Vol.9 (1), p.28-33
Main Authors: Hermens, L.A., Shlimmer, J.C.
Format: Article
Language:English
Subjects:
Computer errors
Computer networks
Government
Image recognition
Image segmentation
Machine learning
Microcomputers
NASA
Routing
Workstations
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Summary: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.< >
ISSN:0885-9000
2374-9407
DOI:10.1109/64.295135