DocumentCode :
13301
Title :
Attention Management in Pervasive Computing [Guest Editorial]
Author :
Ferscha, Alois ; Paradiso, Joseph ; Whitaker, Roger
Author_Institution :
Johannes Kepler Universität Linz
Volume :
13
Issue :
1
fYear :
2014
fDate :
Jan.-Mar. 2014
Firstpage :
19
Lastpage :
21
Abstract :
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.
Keywords :
Big data; Cognitive science; Event detection; Machine learning; Pattern recognition; Privacy; Sensors; Social network services; Special issues and sections; attention research; big data; cognitive computer science; machine learning; pattern recognition; pervasive computing; sensors;
fLanguage :
English
Journal_Title :
Pervasive Computing, IEEE
Publisher :
ieee
ISSN :
1536-1268
Type :
jour
DOI :
10.1109/MPRV.2014.2
Filename :
6750492
Link To Document :
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