• 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