• DocumentCode
    718174
  • Title

    Attelia: Reducing user´s cognitive load due to interruptive notifications on smart phones

  • Author

    Okoshi, Tadashi ; Ramos, Julian ; Nozaki, Hiroki ; Nakazawa, Jin ; Dey, Anind K. ; Tokuda, Hideyuki

  • fYear
    2015
  • fDate
    23-27 March 2015
  • Firstpage
    96
  • Lastpage
    104
  • Abstract
    In today´s ubiquitous computing environment where the number of devices, applications and web services are ever increasing, human attention is the new bottleneck in computing. To minimize user cognitive load, we propose Attelia, a novel middleware that identifies breakpoints in user interaction and delivers notifications at these moments. Attelia works in realtime and uses only the mobile devices that users naturally use and wear, without any modifications to applications, and without any dedicated psycho-physiological sensors. Our evaluation proved the effectiveness of Attelia. A controlled user study showed that notifications at detected breakpoint timing resulted in 46% lower cognitive load compared to randomly-timed notifications. Furthermore, our “in-the-wild” user study with 30 participants for 16 days further validated Attelia´s value, with a 33% decrease in cognitive load compared to randomly-timed notifications.
  • Keywords
    Web services; middleware; smart phones; ubiquitous computing; Attelia; Web services; interruptive notifications; middleware; smart phones; ubiquitous computing; user cognitive load; user interaction; Accuracy; Feature extraction; Real-time systems; Sensors; Smart phones; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications (PerCom), 2015 IEEE International Conference on
  • Conference_Location
    St. Louis, MO
  • Type

    conf

  • DOI
    10.1109/PERCOM.2015.7146515
  • Filename
    7146515