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Creating an empirical basis for adaptation decisions

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Published:09 January 2000Publication History

ABSTRACT

How can an adaptive intelligent interface decide what particular action to perform in a given situation, as a function of perceived properties of the user and the situation? Ideally, such decisions should be made on the basis of an empirically derived causal model. In this paper we show how such a model can be constructed given an appropriately limited system and domain: On the basis of data from a controlled experiment, an influence diagram for making adaptation decisions is learned automatically. We then discuss why this method will often be infeasible in practice, and how parts of the method can nonetheless be used to create a more solid basis for adaptation decisions.

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      • Published in

        cover image ACM Conferences
        IUI '00: Proceedings of the 5th international conference on Intelligent user interfaces
        January 2000
        288 pages
        ISBN:1581131348
        DOI:10.1145/325737
        • Chairmen:
        • Doug Riecken,
        • David Benyon,
        • Henry Lieberman

        Copyright © 2000 ACM

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        New York, NY, United States

        Publication History

        • Published: 9 January 2000

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