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IJCAI 2001 Tutorial on User-Adaptive Systems
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Last update: Wednesday, 7 March 2001

IJCAI 01 Tutorial Description

Systems That Adapt to Their Users

Anthony Jameson

Brief Description

Interactive systems that adapt to their users have been gaining rapidly in practical importance, for example in the areas of e-commerce and web-based information access. Relevant terms include personalization, personal assistants, adaptive interfaces, user modeling, and student modeling. The AI techniques employed include machine learning techniques, probabilistic and decision-theoretic approaches, and logic-based methods.

Although user-adaptive systems take many different forms, there are a number of questions that must be addressed in the design of any such system:

  1. What functions are to be served by the adaptation?
  2. What properties of the user should be modeled?
  3. What input data about the user should be obtained, and how?
  4. What techniques should be employed to make inferences about the user?
  5. How should decisions about appropriate adaptive system behavior be made?
  6. What empirical studies should be conducted?

For each of these questions, we will systematically examine the main answers that have been worked out so far in research and practice. The discussion will integrate the results of previous experience in many different domains from an AI perspective, and it will refer throughout to concrete system examples.

Prerequisite Knowledge

This tutorial will be accessible to all IJCAI 2001 attendees.

Information About the Presenter

Anthony Jameson is a senior researcher at the German Research Institute for Artificial Intelligence (DFKI) and adjunct professor at the International University in Germany. He has published widely on user-adaptive systems since the early 1980s. He was program co-chair of the Sixth International Conference on User Modeling.

Detailed Information