Quantitative Results Comparing Three Intelligent Interfaces forInformation Capture: A Case Study Adding Name Information into a | Zendy

Jeffrey C. Schlimmer | Zendy; P. C. Wells | Zendy

Open Access

Quantitative Results Comparing Three Intelligent Interfaces forInformation Capture: A Case Study Adding Name Information into a

Author(s) -

Jeffrey C. Schlimmer,

P. C. Wells

Publication year - 1996

Publication title -

journal of artificial intelligence research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.79

H-Index - 123

eISSN - 1943-5037

pISSN - 1076-9757

DOI - 10.1613/jair.321

Subject(s) - computer science , handwriting , key (lock) , context (archaeology) , human–computer interaction , handwriting recognition , interface (matter) , user interface , artificial intelligence , machine learning , feature extraction , operating system , bubble , maximum bubble pressure method , paleontology , biology

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.

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