Abstract
The convenience of online shopping is an attractive benefit for customers. At the same time, online purchase process is often complicated. As a result, some customers have difficulty with or even fail to complete the process. This article presents a tool for detailed monitoring users’ interaction with shopping websites. Data collected can be used for many purposes, including interface and content adaptation. By means of personalization, a website can automatically adapt to suit the needs of a particular user, thus vastly improving human media interaction and its efficiency. In this article the human-website interaction monitoring tool ECPM is presented and sample results based on selected B2C stores are discussed.
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Zdziebko, T., Sulikowski, P. (2015). Monitoring Human Website Interactions for Online Stores. In: Rocha, A., Correia, A., Costanzo, S., Reis, L. (eds) New Contributions in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-319-16528-8_35
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DOI: https://doi.org/10.1007/978-3-319-16528-8_35
Publisher Name: Springer, Cham
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