Attelia: Reducing User’s Cognitive Load due to Interruptive Notifications on Smart Phones

March 23, 2015

Attelia_overview

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 real- time 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.

This research is a joint research between Ubicomp lab. in HCII, SCS, CMU and Tokuda lab. in Keio University.

Web page
http://www.ht.sfc.keio.ac.jp/~slash/research/Attelia/

Publication
T. Okoshi, J. Ramos, H. Nozaki, J. Nakazawa, A. Dey and H. Tokuda. Attelia: Reducing User’s Cognitive Load due to Interruptive Notifications on Smart Phones. In Proceedings of IEEE International Conference on Pervasive Computing and Communications 2015 (PerCom ’15), p96-104, Mar 2015.

 

 

Authors:
 Anind K Dey Julian Ramos Tadashi Okoshi

Venue:
IEEE PerCom 2015

Associated Project:
None

Year:
2015

Paper Type:
Full Paper