Shawn P. Curley

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Recommender systems are becoming a salient part of many e-commerce websites. Much research has focused on advancing recommendation technologies to improve the accuracy of predictions, while behavioral aspects of using recommender systems are often overlooked. In this study, we explore how consumer preferences at the time of consumption are impacted by(More)
Advancements in information technologies offer opportunities for designing and deploying innovative market mechanisms. For example, combinatorial auctions, in which bidders can bid on combinations of goods, can increase the economic efficiency of a trade when goods have complementarities. However, lack of real-time bidder support tools has been a major(More)
Many studies have shown that people have difficulty judging the diagnostic value of conditional probability information with respect to one or more hypotheses. The present research addressed two aspects of performing the diagnostic task in a health care decision: (a) recognition of the information's importance, and (b) correct usage of that information. In(More)
Combinatorial auctions – in which bidders can bid on combinations of goods – can increase the economic efficiency of a trade when goods have complementarities. Recent theoretical developments have lessened the computational complexity of these auctions, but the issue of cognitive complexity remains an unexplored barrier for the online marketplace. This(More)
Prior research has shown that online recommendations have significant influence on users’ preference ratings and economic behavior. Specifically, the self-reported preference rating (for a specific consumed item) that is submitted by a user to a recommender system can be affected (i.e., distorted) by the previously observed system’s recommendation. As a(More)
Combinatorial auctions, in which bidders can bid on combinations of assets (commonly referred to as bundles or packages), represent an innovative yet complex market mechanism that can enhance the ability to allocate multiple assets efficiently when the values of the assets exhibit synergies (e.g., “I will pay $100 if I get both matching end tables but only(More)
Prior research has shown that online recommendations have significant influence on consumers’ preference ratings and their economic behavior. However, research has not examined the anchoring effects of aggregate user ratings, which are also commonly displayed in online retail settings. This research compares and contrasts the anchoring biases introduced by(More)
The recurring decision of selecting among potential knowledge resources was modeled as a cost-benefit tradeoff, with associated observable features. Internal medicine and community family practice physicians (n = 228) completed a self-administered questionnaire designed to elicit reported use and cost-benefit features of nine knowledge resources. The(More)
Because of the pivotal role of medical knowledge in clinical problem solving, it is important to understand how clinicians decide to seek additional knowledge for patient care decisions and how they choose among the resources available to them. Using a self-administered questionnaire, 126 family physicians reported their use of 11 types of knowledge(More)