skip to main content
10.1145/1064009.1064038acmconferencesArticle/Chapter ViewAbstractPublication PagesecConference Proceedingsconference-collections
Article

Integrating tradeoff support in product search tools for e-commerce sites

Authors Info & Claims
Published:05 June 2005Publication History

ABSTRACT

In a previously reported user study, we found that users were able to perform decision tradeoff tasks more efficiently and commit considerably fewer errors with the example critiquing interface than with the ranked list. We concluded that example-based search tools were likely to be useful particularly for extending the scope of consumer e-commerce to more complex products where decision making is critical. This paper presents results from a follow-up user study quantifying the benefits of tradeoff support. Users were able to refine the quality of their preference structures and improve decision accuracy by up to 57% after performing tradeoff tasks. Tradeoff support also significantly increased users' confidence in their choices. Together, these two studies show that example critiquing enables users to more accurately find what they want and be confident in their choices, while only requiring a level of effort that is comparable to the ranked list interface.

References

  1. Burke, R., Hammond, K., and Young, R. The FindMe approach to assisted browsing. In IEEE Expert: Intelligent Systems and Their Applications, volume 12(4):32--40, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Callahan, E. and Koenemann, J. A comparative usability evaluation of user interfaces for online product catalogs. In Proceedings of ACM Conference on Electronic Commerce (EC'00), 2000, 197--206. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Carenini, G. and Poole, D. Constructed preferences and value-focused thinking: implications for AI research on preference elicitation. AAAI-02 Workshop on Preferences in AI and CP: symbolic approaches, 2002.Google ScholarGoogle Scholar
  4. Coupey, E. Irwin, J.R. and Payne, J.W. Product category familiarity and preference construction. Journal of Consumer Research, Vol. 24, March 1998, 459--467.Google ScholarGoogle ScholarCross RefCross Ref
  5. Faltings, B., Torrens, M. and Pu, P. Solution generation with qualitative models of preferences. International Journal of Computational Intelligence and Applications, Volume 20, Issue 2, 2004, 246--264.Google ScholarGoogle Scholar
  6. Haubl, G. and Trifts, V. Consumer decision making in online shopping environments: the effects of interactive decision aids. Marketing Science, Vol. 19, No. 1, 2000, 4--21. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Hogarth, R. Judgment and Choice. John Wiley and Sons, New York, NY, United States, 1987.Google ScholarGoogle Scholar
  8. Jedetski, J. Adelman, L. and Yeo, C. How web site decision technology affects consumers. IEEE Internet Computing, March-April 2002, 72--79. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Keeney, R. and Raiffa, H. Decisions with Multiple Objectives: Preferences and Value Tradeoffs. Cambridge University Press, 1976.Google ScholarGoogle Scholar
  10. Linden, G., Hanks, S. and Lesh, N. Interactive assessment of user preference models: the automated travel assistant. In Proceedings of User Modeling'97, 1997, 67--78.Google ScholarGoogle ScholarCross RefCross Ref
  11. Lohse, G.L. and Spiller, P. Quantifying the effects of user interface design features on cyberstore traffic and sales. In Proceedings of the SIGCHI conference on Human factors in computing systems (CHI' 98), 1998, 211--218. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Park, C.W. The effect of individual and situation-related factors on consumer selection of judgmental models. Journal of Marketing Research, 13(May), 1976, 144--151.Google ScholarGoogle Scholar
  13. Payne, J.W., Bettman, J.R. and Johnson, E.J. The Adaptive Decision Maker. Cambridge University Press, 1993.Google ScholarGoogle ScholarCross RefCross Ref
  14. Payne, J.W., Bettman, J.R. and Schkade, D.A. Measuring constructed preferences: towards a building code. Journal of Risk and Uncertainty, 19, 1-3 (1999), 243--270.Google ScholarGoogle ScholarCross RefCross Ref
  15. Pu, P. and Faltings, B. Enriching buyers' experiences: the SmartClient approach. In Proceedings of the SIGCHI conference on Human factors in computing systems (CHI' 00), ACM Press, 2000, 289--296. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Pu, P. and Faltings, B. Decision tradeoff using example critiquing and constraint programming. Special Issue on User-Interaction in Constraint Satisfaction, CONSTRAINT: an International Journal, Kluwer Academic Publishers, Vol. 9, Issue 4, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Pu, P. and Kumar, P. Evaluating example-based search tools. In Proceedings of ACM Conference on Electronic Commerce (EC'04), 2004, 208--217. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Shearin, S. and Lieberman, H. Intelligent profiling by example. In Proceedings of International Conference on Intelligent User Interfaces (IUI '01), ACM Press, 2001, 145--151. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Shepard, R.N. On subjectively optimum selection among multiattribute alternatives. In Maynard W. Shelley and Glenn L. Bryan (eds.), Human Judgments and Optimality, New York, 1964.Google ScholarGoogle Scholar
  20. Slovic, P. The construction of preference. American Psychologist, 50 (August), 1995, 364--371.Google ScholarGoogle Scholar
  21. Torrens, M., Faltings, B. and Pu, P. SmartClients: constraint satisfaction as a paradigm for scaleable intelligent information systems. International Journal of Constraints, Jan. 2002, 49--69. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Torrens, M., Weigel, R. and Faltings, B. Java constraint library: bringing constraints technology on the Internet using the Java language. In workshop notes, Constraints and Agents, AAAI'97, 1997, 10--15.Google ScholarGoogle Scholar
  23. Tversky, A. and Simonson I. Context-dependent preferences. Management Science, Vol. 19, No.10, October 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Integrating tradeoff support in product search tools for e-commerce sites

                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
                  EC '05: Proceedings of the 6th ACM conference on Electronic commerce
                  June 2005
                  302 pages
                  ISBN:1595930493
                  DOI:10.1145/1064009

                  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: 5 June 2005

                  Permissions

                  Request permissions about this article.

                  Request Permissions

                  Check for updates

                  Qualifiers

                  • Article

                  Acceptance Rates

                  Overall Acceptance Rate664of2,389submissions,28%

                  Upcoming Conference

                  EC '24
                  The 25th ACM Conference on Economics and Computation
                  July 8 - 11, 2024
                  New Haven , CT , USA

                PDF Format

                View or Download as a PDF file.

                PDF

                eReader

                View online with eReader.

                eReader