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Egon Broek
Utrecht University
Utrecht, Netherlands
 

Egon L. van den Broek obtained his MSc (2001) in Artificial Intelligence (AI) and PhD (2005) in Content-Based Image Retrieval (CBIR), and hopes to obtain a second PhD (2011) in affective signal processing. He has held several positions at the Radboud University Nijmegen (RU) and the Vrije Universiteit Amsterdam (VU), both in The Netherlands. Currently, he is an assistant professor in Human Media Interaction at the University of Twente and an assistant professor in Affective Computing at the Radboud University Medical Center Nijmegen, both in The Netherlands. He has taught, coordinated, and developed courses and educational tracks, and has guided almost 50 students at all educational levels.

Apart from his academic career, he is a consultant for Philips Research Europe (Eindhoven, NL), a senior statistician at the United Nations Office on Drugs and Crime (UNODC), and a consultant at the Human-Centered Computing Consultancy (Vienna). In addition, he has been an external expert for The British Academy, Expertises Agence Nationale de la Recherche (ANR), and the Belgium agency for Innovation by Science and Technology (IST). He is a member of ACM, EURASIP, HUMAINE, IAPR, IEEE, and the Human Factors & Ergonomics Society.

Van den Broek has been involved in various national and EU projects over the years. These also reflect his broad interest in AI, man-machine interaction, and research and analysis methods. His main research topics are affective computing and cognitive computer vision. He has (co-)developed a range of systems. These include the CBIR system http://www.m4art.org, an interactive online texture classification system, real-time emotion sensing devices, multimedia and virtual reality demonstrators, and an online scientific user interface testing platform.

He has authored over 130 scientific articles, book chapters, and books. He holds four patent applications, and has received multiple awards. His work has been discussed in dozens of popular press appearances. He is also a frequently invited speaker at conferences. He has been a guest editor, reviewer, chair, and program committee member of various conferences and journals. Additionally, he is the founding editor-in-chief of the Pan Stanford Series in Artificial Intelligence, to be launched in 2011-2012. He has been a reviewer for Computing Reviews since 2005.


     

Multimodal interaction with W3C standards: toward natural user interfaces to everything
Dahl D.,  Springer International Publishing, New York, NY, 2016. 422 pp. Type: Book (978-3-319428-14-7)

With computing machinery (for example, the Internet of Things [1] and virtual reality [2]) rapidly penetrating the consumer market, human-computer interaction (HCI) is rapidly becoming an outdated paradigm and human-media interaction or interactio...

 

Human activity recognition: using wearable sensors and smartphones
Labrador M., Lara Yejas O.,  Chapman & Hall/CRC, Boca Raton, FL, 2014. 207 pp. Type: Book (978-1-466588-27-1)

The decline in both the price and size of sensors, and the fact that they can be embedded in various wearables (for example, clothes, jewelry, and furniture), has made them appealing for many purposes, including human activity recognition (HAR). C...

 

Quantifying the user experience: practical statistics for user research
Sauro J., Lewis J.,  Morgan Kaufmann Publishers Inc., San Francisco, CA, 2012. 312 pp. Type: Book (978-0-123849-68-7)

Before I started to read this book, I searched for the authors’ definition of user experience (UX). To my surprise, I did not find one. Of course, I may have missed it; however, if it is really missing, then this is definitely a weak aspect ...

 

Learning how to match fresco fragments
Funkhouser T., Shin H., Toler-Franklin C., Castañeda A., Brown B., Dobkin D., Rusinkiewicz S., Weyrich T.  Journal on Computing and Cultural Heritage 4(2): 1-13, 2011. Type: Article

This paper was presented at Eurographics 2011. Being among the conference’s best papers, it was revised and republished in this ACM journal. In general, the authors present their approach as new; however, while this is not the case, it is pr...

 

A practitioner’s guide to resampling for data analysis, data mining, and modeling
Good P.,  Chapman & Hall/CRC, Boca Raton, FL, 2011. 224 pp. Type: Book (978-1-439855-50-8)

With sufficient books on data mining and more than enough books on statistics on my shelf, I found myself drawn by the “practitioner’s guide” aspect of this book’s title. Compact as the book is, it promised something differ...

 
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