skip to main content
10.1145/1099203.1099224acmconferencesArticle/Chapter ViewAbstractPublication PagesgroupConference Proceedingsconference-collections
Article

Adaptive radio: achieving consensus using negative preferences

Published:06 November 2005Publication History

ABSTRACT

We introduce the use of negative preferences to produce solutions that are acceptable to a group of users. This technique takes advantage of the fact that discovering what a user does not like can be easier than discovering what the user does like. To illustrate the approach, we implemented Adaptive Radio, a system that selects music to play in a shared environment. Rather than attempting to play the songs that users want to hear, the system avoids playing songs that they do not want to hear. Negative preferences could potentially be applied to information filtering, intelligent environments, and collaborative design.

References

  1. Beersma, B. and De Dreu, C. K. W. Integrative and distributive negotiation in small groups: Effects of task structure, decision rule, and social motive. Organizational Behavior and Human Decision Processes, 87 (2002), 227--252.Google ScholarGoogle ScholarCross RefCross Ref
  2. Chao, D. L. and Forrest, S. Generating biomorphs with an aesthetic immune system. In R. Standish, M. A. Bedau, and H. A. Abbass, eds., Artificial Life VIII: Proceedings of the Eighth International Conference on the Simulation and Synthesis of Living Systems. MIT Press, Cambridge, Massachusetts, 2003, 89--92. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Chao, D. L. and Forrest, S. Information immune systems. Genetic Programming and Evolvable Machines, 4, 4 (2003), 311--331. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Deutsch, M. and Gerard, H. B. A study of normative and informational social influence upon social judgment. Journal of Abnormal and Social Psychology, 51 (1965), 629--636.Google ScholarGoogle ScholarCross RefCross Ref
  5. Goldberg, D., Nichols, D., Oki, B. M., and Terry, D. Using collaborative filtering to weave an information tapestry. Communications of the ACM, 35, 12 (1992), 61--70. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. McCarthy, J. F. and Anagnost, T. D. MusicFX: An arbiter of group preferences for computer supported collaborative workouts. In Proceedings of the ACM 1998 Conference on Computer Supported Cooperative Work. ACM Press, New York, 1998, 363--372. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. McCarthy, J. F., Costa, T. J., and Liongosari, E. S. UniCast, OutCast & GroupCast: An exploration of new interaction paradigms for ubiquitous, peripheral displays. In Workshop on Distributed and Disappearing User Interfaces in Ubiquitous Computing at the SIGCHI Conference on Human Factors in Computer Systems (CHI 2001). ACM Press, New York, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Moscovici, S. Towards a theory of conversion behavior. In L. Berkowitz, ed., Advances in experimental social psychology, Academic Press, London, 1980. 209--239.Google ScholarGoogle Scholar
  9. O'Connor, M., Cosley, D., Konstan, J. A., and Riedl, J. PolyLens: A recommender system for groups of users. In Proceedings of the Seventh European Conference on Computer Supported Cooperative Work. Kluwer Academic, New York, 2001, 199--218. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Adaptive radio: achieving consensus using negative preferences

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        GROUP '05: Proceedings of the 2005 ACM International Conference on Supporting Group Work
        November 2005
        368 pages
        ISBN:1595932232
        DOI:10.1145/1099203

        Copyright © 2005 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 6 November 2005

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • Article

        Acceptance Rates

        Overall Acceptance Rate125of405submissions,31%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader