Quantitative Results Comparing Three Intelligent Interfaces for Information Capture: A Case Study Adding Name Information into an Electronic Personal Organizer
<|reference_start|>Quantitative Results Comparing Three Intelligent Interfaces for Information Capture: A Case Study Adding Name Information into an Electronic Personal Organizer: Efficiently entering information into a computer is key to enjoying the benefits of computing. This paper describes three intelligent user interfaces: handwriting recognition, adaptive menus, and predictive fillin. In the context of adding a personUs name and address to an electronic organizer, tests show handwriting recognition is slower than typing on an on-screen, soft keyboard, while adaptive menus and predictive fillin can be twice as fast. This paper also presents strategies for applying these three interfaces to other information collection domains.<|reference_end|>
@article{schlimmer1996quantitative,
    title={Quantitative Results Comparing Three Intelligent Interfaces for
  Information Capture: A Case Study Adding Name Information into an Electronic
  Personal Organizer},
    author={J. C. Schlimmer, P. C. Wells},
    journal={Journal of Artificial Intelligence Research, Vol 5, (1996),
  329-349},
    year={1996},
    archivePrefix={arXiv},
    eprint={cs/9612102},
    primaryClass={cs.AI}
}