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

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. Copyright 2005 ACM.

Published in:
Proceedings of the ACM Conference on Electronic Commerce, 269-278
Association for Computing Machinery, New York, NY 10036-5701, United States
Human Computer Interaction Group, School of Computer and Communication Sciences, Ecole Polytechnique Federale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland

 Record created 2008-01-14, last modified 2018-03-17

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