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

TL;DR

This study compares three intelligent interfaces—handwriting recognition, adaptive menus, and predictive fill-in—for entering personal information into an electronic organizer, highlighting speed differences and potential applications.

Contribution

It provides a comparative analysis of three intelligent input methods and discusses their applicability to various information collection tasks.

Findings

Adaptive menus and predictive fill-in are twice as fast as handwriting recognition.

Handwriting recognition is slower than typing on a soft keyboard.

Strategies are proposed for applying these interfaces to other domains.

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.