Journal of Artificial Intelligence Research 5 (1996) 329-349
Submitted 5/96; published 12/96
(c) 1996 AI Access Foundation and Morgan Kaufmann Publishers. All rights reserved.

Quantitative Results Comparing Three Intelligent Interfaces for Information Capture: A Case Study Adding Name Information into an Electronic Personal Organizer

Jeffrey C. Schlimmer (schlimmer@eecs.wsu.edu)

School of Electrical Engineering & Computer Science
Washington State University, Pullman, WA 99164-2752, U.S.A.

Patricia Crane Wells (patricia@allpen.com)

AllPen Software, Inc.
16795 Lark Avenue, Suite 200, Los Gatos, CA 95030, U.S.A.

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 person's 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.

Table of Contents

  1. Introduction
  2. Newton
  3. Names++
  4. Experiments
  5. Design Recommendations
  6. Related Work
  7. Conclusions

Jeffrey C. Schlimmer, schlimme@eecs.wsu.edu, 5 December 1994