Category: UI AUI
Journal: Interact. Comput.
Abstract: The paper explores the application of predictive text
        generation to the human-computer interface. Predictive
        techniques exploit the statistical redundancy of language
        to accelerate and amplify user inputs.  Acceleration is
        achieved by making more likely language elements faster
        to select, while amplification is accomplished by
        selection of concatenated elements. The language models
        used are created adaptively, decoupling the prediction
        mechanism from the application domain and user's
        vocabulary, and conforming automatically to whatever kind
        of text is entered. A device called the 'reactive
        keyboard' is described along with two user interface
        implementations, one for keyboard entry and the other for
        a mouse/window environment. A clear separation is made
        between the system's user interface and the underlying
        model it employs, and the two versions share the same
        prediction technique and adaptive modelling mechanism. 
        The basic idea is to order context- conditioned candidate
        strings, which are predicted by the model, according to
        frequency and display them for selection.
Number: 1
ShortComment: \cite{Darragh:ReactiveKeyboard}と同じ?
Bibtype: Article
Pages: 27-50
Month: apr
Author: J. J. Darragh
        I. H. Witten
Affiliation: Dept. of Comput. Sci., Calgary Univ.
        Alta., Canada
Title: Adaptive predictive text generation and the reactive keyboard
Year: 1991
Volume: 3