N.Sebe; Human-Centered Computing: Challenges & Perspectives , 21.5.07
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  • N.Sebe; Human-Centered Computing: Challenges & Perspectives , 21.5.07

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Human-Centered Computing: Challenges and Perspectives

Nicu Sebe
University of Amsterdam

Computing is at one of its most exciting moments in history, playing an essential role in supporting many important human activities. The explosion in the availability of information in various media forms and through multiple sensors and devices means, on one hand, that the amount of data we can collect will continue to increase dramatically, and, on the other hand, that we need to develop new paradigms to search, organize, and integrate such information to support all human activities.

Human Centered Computing (HCC) is an emerging field that aims at bridging the existing gaps between the various disciplines involved with the design and implementation of computing systems that support people's activities. HCC aims at tightly integrating human sciences (e.g. social and cognitive) and computer science (e.g. human-computer interaction (HCI), signal processing, machine learning, and ubiquitous computing) for the design of computing systems with a human focus from beginning to end. This focus should consider the personal, social, and cultural contexts in which such systems are deployed. Beyond being a meeting place for existing disciplines, HCC also aims at radically changing computing with new methodologies to design and build systems that support and enrich people's lives.

In this presentation, we discuss the existing challenges in HCC and describe what we consider to be the three main areas of interest: media production, analysis, and interaction. In addition, we identify the core characteristics of HCC, describe example applications,and propose a research agenda for HCC.


Nicu Sebe is a professor in the Faculty of Science, University of Amsterdam, The Netherlands where he is doing research in Computer Vision, Pattern Recognition, and Human-computer Interaction, in particular content-based retrieval, maximum likelihood analysis, and machine learning techniques for human-computer interaction. He is the author of the following books: Robust Computer Vision-Theory and Applications (Kluwer, April 2003) and Machine Learning in Computer Vision (Springer, May 2005). He was a guest editor of a CVIU special issue on video retrieval and summarization (December 2003) and was the co-chair of ACM Multimedia Information Retrieval Workshops, MIR'03 & MIR'04 (in conjunction with ACM Multimedia conferences). He was also the co-chair of the Human Computer Interaction Workshops, HCI '04 (in conjunction with ECCV 2004), HCI'05 (in conjunction with ICCV 2005), HCI'06 (in conjunction with ECCV 2006) and HCM'06 (in conjunction with ACM Multimedia 2006). He was the guest editor of four special issues on multimedia information retrieval, similarity matching, and human computer interaction in ACM Transactions on Multimedia Computing, Communication, and Applications, ACM Multimedia Systems, Image and Vision Computing, and Computer Vision and Image Understanding. He is also the guest editor of the upcoming special issue on human-centered computing in IEEE Computer (April 2007). He is the general co-chair of ACM International Conference on Image and Video Retrieval, CIVR 2007, and of the IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008. He is a program chair of ACM Multimedia 2007 and of the International Conference of Pattern Recognition, ICPR 2010. He was a visiting researcher in the Beckman Institute, University of Illinois at Urbana-Champaign (1999, 2001, 2002) and was a research fellow of the British Telecomm in Ipswich, UK (2003). He published more than 70 technical papers in the areas of computer vision, content-based retrieval, pattern recognition, and human-computer interaction and he served on the program committee of several conferences in these areas.


May 21, 2007, 10:00, FENS G015