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Steffen Pauws

Picture of Steffen Pauws. Copyright unknown.
Personal Homepage:
http://www.metroosen.com

Current place of employment:
Philips Research Europe, Eindhoven, the Netherlands

Dr. Steffen Pauws studied medical informatics at Leiden University, the Netherlands, graduating in 1991. His study concerned the use of oesophagus phono-cardiography for the policlinical diagnosis of the functioning of implanted heart valves, funded by the Dutch Heart Foundation.

Following his study, he started a post-master programme on Software Technology at the Eindhoven University of Technology, graduating in 1993 on the use of automatic speech recognition for report dictation by anatomy-pathologists.

From 1993 to 2000, he continued working for the Eindhoven University, but now at the IPO (Institute of Perception Research), which was a foundation between Philips Research Laboratories Eindhoven and the university. He specialized himself in speech interfaces and speech synthesis applications and began to explore the field of user-system interaction and user evaluation. Captivated by the latter field of research, he started his Ph.D. work at the end of 1994 that was completed in 2000.

Since March 2000, Dr. Pauws has been working for the Philips Research Laboratories Eindhoven. Driven by his interest for music, he merged into the field of signal processing, discrete algorithms and combinatorial optimization for music retrieval applications in the Media Interaction group. This work has always been embedded in a consumer electronics context with active end-user involvement. Currently, he is cluster leader of the cluster 'Intelligent Algorithms' in the Media Interaction group.

The results of his work have been presented at international conferences, have been published in international journals, have been patented or are drafted as patent applications.

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Publications by Steffen Pauws (bibliography)

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2007
 
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Tiemann, Marco and Pauws, Steffen (2007): Towards ensemble learning for hybrid music recommendation. In: Proceedings of the 2007 ACM Conference on Recommender Systems 2007. pp. 177-178.

We investigate ensemble learning methods for hybrid music recommender algorithms, combining a social and a content-based recommender algorithm as weak learners by applying a combination rule to unify the weak learners' output. A first experiment suggests that such a combination can already reduce the mean absolute prediction error compared to the weak learners' individual errors.

© All rights reserved Tiemann and Pauws and/or ACM Press

2005
 
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Wijnalda, G., Pauws, Steffen, Vignoli, Fabio and Stuckenschmidt, Heiner (2005): A personalized music system for motivation in sport performance. In IEEE Pervasive Computing, 4 (3) pp. 26-32.

2000
 
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Pauws, Steffen, Bouwhuis, Don and Eggen, Berry (2000): Programming and Enjoying Music with Your Eyes Closed. In: Turner, Thea, Szwillus, Gerd, Czerwinski, Mary, Peterno, Fabio and Pemberton, Steven (eds.) Proceedings of the ACM CHI 2000 Human Factors in Computing Systems Conference April 1-6, 2000, The Hague, The Netherlands. pp. 376-383.

Design and user evaluation of a multimodal interaction style for music programming is described. User requirements were instant usability and optional use of a visual display. The interaction style consists of a visual roller metaphor. User control of the rollers proceeds by manipulating a force feedback trackball. Tactual and auditory cues strengthen the roller impression and support use without a visual display. The evaluation investigated task performance and procedural learning when performing music programming tasks with and without a visual display. No procedural instructions were provided. Tasks could be completed successfully with and without a visual display, though programming without a display needed more time to complete. Prior experience with a visual display did not improve performance without a visual display. When working without a display, procedures have to be acquired and remembered explicitly, as more procedures were remembered after working without a visual display. It is demonstrated that multimodality provides new ways to interact with music.

© All rights reserved Pauws et al. and/or ACM Press

 
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Changes to this page (author)

05 Apr 2012: Added
26 Jul 2011: Added
21 Feb 2010: Modified
28 Apr 2003: Added

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Apr 06

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