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Issue No.05 - Sept.-Oct. (2013 vol.17)
pp: 80-84
Mikkel Baun Kjaergaard , Aarhus University
ABSTRACT
Recent sensing-based systems involve a multitude of users, devices, and places. These types of systems challenge existing approaches for conducting valid system evaluations. Here, the author discusses such evaluation challenges and revisits existing system evaluation methodologies.
INDEX TERMS
Sensors, Emulation, Data models, Pervasive computing, Mobile communication, Internet, Behavioral science,crowd behavior, sensing-based systems, evaluation
CITATION
Mikkel Baun Kjaergaard, "Studying Sensing-Based Systems: Scaling to Human Crowds in the Real World", IEEE Internet Computing, vol.17, no. 5, pp. 80-84, Sept.-Oct. 2013, doi:10.1109/MIC.2013.101
REFERENCES
1. M.B. Kjærgaard et al., “Detecting Pedestrian Flocks by Fusion of Multimodal Sensors in Mobile Phones,” Proc. 2012 ACM Conf. Ubiquitous Computing, ACM, 2012, pp. 240-249.
2. J. Krumm, Ubiquitous Computing Fundamentals, Chapman & Hall, 2009.
3. P. Lukowicz and S. Intille, “Experimental Methodology in Pervasive Computing,” IEEE Pervasive Computing, vol. 10, no. 2, 2011, pp. 94-96.
4. A. Oulasvirta, “Rethinking Experimental Designs for Field Evaluations,” IEEE Pervasive Computing, vol. 11, no. 4, 2012, pp. 60-67.
5. M.B. Kjærgaard et al., “Time-Lag Method for Detecting Following and Leadership Behavior of Pedestrians from Mobile Sensing Data,” Proc. IEEE Int'l Conf. Pervasive Computing and Communcations (Percom 13), IEEE, 2013, pp. 56-64.
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