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

  • Pearl Pu*
  • , Li Chen
  • *Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

55 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationEC '05: Proceedings of the 6th ACM conference on Electronic commerce
PublisherAssociation for Computing Machinery (ACM)
Pages269-278
Number of pages10
ISBN (Print)9781595930491
DOIs
Publication statusPublished - 5 Jun 2005
EventEC'05: 6th ACM Conference on Electronic Commerce - Vancouver, Canada
Duration: 5 Jun 20058 Jun 2005
https://dl.acm.org/doi/proceedings/10.1145/1064009

Conference

ConferenceEC'05: 6th ACM Conference on Electronic Commerce
Country/TerritoryCanada
CityVancouver
Period5/06/058/06/05
OtherConference Proceedings
Internet address

User-Defined Keywords

  • Consumer e-commerce
  • Decision support
  • Empirical user study
  • Example critiquing interactions
  • SmartClient systems

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