학술논문

Attention Management in Pervasive Computing [Guest Editorial]
Document Type
Periodical
Source
IEEE Pervasive Computing IEEE Pervasive Comput. Pervasive Computing, IEEE. 13(1):19-21 Jan, 2014
Subject
Computing and Processing
Special issues and sections
Event detection
Privacy
Social network services
Cognitive science
Sensors
Machine learning
Big data
Pattern recognition
attention research
cognitive computer science
pervasive computing
sensors
machine learning
pattern recognition
big data
Language
ISSN
1536-1268
1558-2590
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.