Trail Explorer: Understanding User Experience in Webpage Flows

In IEEE VisWeek Discovery Exhibition, SALT LAKE CITY, UTAH, USA, 2010
Trail Explorer: Understanding User Experience in Webpage Flows
Zeqian Shen, Neel Sundaresan, Zeqian Shen, Neel Sundaresan
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Abstract

Trail Explorer is a visual analytics tool for better underst anding of user experiences in webpage flows. It enables exploration and discovery of user session data. This paper presents two case studies of Trail Explorer in use with real data.

Another publication from the same category: Economics

Proceedings of the Sixteenth ACM Conference on Economics and Computation (EC '15). ACM, New York, NY, USA (2015)

Canary in the e-Commerce Coal Mine: Detecting and Predicting Poor Experiences Using Buyer-to-Seller Messages

Dimitriy Masterov, Uwe Mayer, Steve Tadelis

Reputation and feedback systems in online marketplaces are often biased, making it difficult to ascertain the quality of sellers. We use post-transaction, buyer-to-seller message traffic to detect signals of unsatisfactory transactions on eBay. We posit that a message sent after the item was paid for serves as a reliable indicator that the buyer may be unhappy with that purchase, particularly when the message included words associated with a negative experience. The fraction of a seller's message traffic that was negative predicts whether a buyer who transacts with this seller will stop purchasing on eBay, implying that platforms can use these messages as an additional signal of seller quality.