Quantitative Results Comparing Three Intelligent Interfaces for Information Capture: A Case Study Adding Name Information into an Electronic Personal Organizer
J. C. Schlimmer, P. C. Wells

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.
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Taxonomy
TopicsSemantic Web and Ontologies · AI-based Problem Solving and Planning · Data Quality and Management
