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
Link To Document