Interaction Data Analytics
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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.

About the Author

Vagner Figueredo de Santana
Vagner Figueredo de Santana

Research Scientist, Certified Data Scientist, and Master Inventor at IBM Research. PhD and MSc degrees in Computer Science from University of Campinas (UNICAMP), 2012 and 2009, respectively. BSc degree in Computer Science from Presbyterian University Mackenzie (2006). I am passionate for interaction logs, researching about how people interact with information technologies, in real contexts of use, at scale.

I have been developing software professionally since 2000 and, prior to engaging in research activities, I was webmaster at Folha de S.Paulo (, a major Brazilian newspaper, from 2001 to 2007.

I have been researching topics on Human-Computer Interaction (HCI) since 2006, focusing on interconnections among HCI, Machine Learning, and Data Science, ranging from problem understanding & field studies to data-oriented evaluation & delivery of intelligent user interfaces.

Since 2016, I am associated collaborator at Federal University of ABC (UFABC), where I supervise MSc and PhD students. Prior to this experience in supervising graduate students, I acted as visiting professor in multiple Software Engineering disciplines in graduate courses at Presbyterian University Mackenzie (from 2009 to 2015) and at PUCRS (2021).

I have been actively collaborating with Brazilian and International HCI communities. In Brazil, I was general chair of XV Brazilian Symposium on Human Factors in Computer Systems (IHC 2016), the main HCI conference in Latin America. In 2019, I was lead program chair of IHC 2019 conference. Moreover, I actively act as reviewer for multiple international HCI conferences and journals (e.g., IJHCS, UAIS, TACCESS, Multimedia Tools and Applications, and Interacting with Computers).

In 2012, I joined IBM Research just after completing my Ph.D. degree. At IBM Research I participated in multiple projects from different industries as IT services, Finance, Health Insurance, Education, Oil&Gas, and Agriculture. In 2016 I became Master Inventor, in 2019 I obtained my Data Scientist certification, and in the last years I have been continuously mentoring researchers on Intellectual Property (IP) process and acting as IP review board member for IBM patents as well.

Filed and granted patents:

Research Gate:

Google Scholar:

Lattes Platform:


Vagner Figueredo de Santana

Episode 240

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