Interaction Data Analytics
Interaction Data Analytics
Methods, Tools, and Applications
About the Book
Interaction logs are present in the most diverse platforms, from mainframes to mobile devices. Interaction data analytics gained visibility with the advent of e-commerce in the late 90s. Analytics in e-commerce aims at analyzing the most viewed/bought products, the origin of accesses, or even understanding why users gave up on buying something. These goals promoted the development of multiple tools in the area. However, when we analyze these tools considering detailed interaction data beyond click streams –with user experience, accessibility, and usability in mind–, few tools allow evaluators to get details about how a given interaction occurred. This book presents methods and applications involving: (1) capture of detailed user behavior data, at the level of user interface events; (2) analysis involving abstractions of these low-level events up to Machine Learning models; (3) visualization of collected data leveraging human visual perception capabilities. Hence, throughout the book the reader will see examples of how to apply interaction data analytics in multiple types of projects, either as the main evaluation method or as an additional technique supporting, bridging Data Science and Human-Computer Interaction.
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