Preferences in Interactive Systems: Technical Challenges and Case Studies

  • Bart Peintner SRI International
  • Paolo Viappiani University of Toronto
  • Neil Yorke-Smith SRI International

Abstract

Interactive artificial intelligence systems employ preferences in both their reasoning and their interaction with the user. This survey considers preference handling in applications such as recommender systems, personal assistant agents, and personalized user interfaces. We survey the major questions and approaches, present illustrative examples, and give an outlook on potential benefits and challenges.

Author Biographies

Bart Peintner, SRI International
Computer Scientist
Paolo Viappiani, University of Toronto

Department of Computer Science

Postdoctoral Researcher

Neil Yorke-Smith, SRI International
Computer Scientist
Published
2008-12-29
Section
Articles