Quantitative Results Comparing Three Intelligent Interfaces for Information Capture: A Case Study Adding Name Information into an Electronic Personal Organizer
Artificial Intelligence
2009-09-25 v1
Abstract
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.
Keywords
Cite
@article{arxiv.cs/9612102,
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 and P. C. Wells},
journal= {arXiv preprint arXiv:cs/9612102},
year = {2009}
}
Comments
See http://www.jair.org/ for an online appendix and other files accompanying this article