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 :
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