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Jan.-Mar. 2014 (vol. 13 no. 1)
pp. 19-21
Alois Ferscha, Johannes Kepler Universität Linz
Joseph Paradiso, MIT Media Laboratory
Roger Whitaker, Cardiff University
As new technologies continuously wash floods of information over individuals via both personal devices and public ICT systems, it's becoming increasingly difficult for individuals to allocate their attention to the right things at the right times. Given this overabundance of information, attention management is of great interest to the pervasive computing community. The articles in this issue focus on understanding how attention is allocated and how information is perceived and shared so it can lead to informed decisions and behavioral change.
Index Terms:
Special issues and sections,Event detection,Privacy,Social network services,Cognitive science,Sensors,Machine learning,Big data,Pattern recognition,big data,attention research,cognitive computer science,pervasive computing,sensors,machine learning,pattern recognition
Citation:
Alois Ferscha, Joseph Paradiso, Roger Whitaker, "Attention Management in Pervasive Computing [Guest Editorial]," IEEE Pervasive Computing, vol. 13, no. 1, pp. 19-21, Jan.-Mar. 2014, doi:10.1109/MPRV.2014.2
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