Probabilistic Online Action Prediction

Intelligent Environments

Volume

Papers from the 1998 AAAI Spring Symposium

Contents

People display regularities in almost everything they do. This paper proposes characteristics of an idealized algorithm that would allow a user interface to adapt to an individual’s pattern of use. We describe a simple predictive method with these characteristics and show its predictive accuracy on a large dataset of UNIX commands to be better than others that have been considered, while using fewer computational and memory resources.