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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

40 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages96-104
Number of pages9
ISBN (Print)9781479980338
DOIs
Publication statusPublished - 2015 Jul 1
Externally publishedYes
Event13th IEEE International Conference on Pervasive Computing and Communications, PerCom 2015 - St. Louis, United States
Duration: 2015 Mar 232015 Mar 27

Other

Other13th IEEE International Conference on Pervasive Computing and Communications, PerCom 2015
CountryUnited States
CitySt. Louis
Period15/3/2315/3/27

Fingerprint

Ubiquitous computing
Middleware
Mobile devices
Web services
Wear of materials
Sensors

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Software

Cite this

Okoshi, T., Ramos, J., Nozaki, H., Nakazawa, J., Dey, A. K., & Tokuda, H. (2015). Attelia: Reducing user's cognitive load due to interruptive notifications on smart phones. In 2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015 (pp. 96-104). [7146515] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOM.2015.7146515

Attelia : Reducing user's cognitive load due to interruptive notifications on smart phones. / Okoshi, Tadashi; Ramos, Julian; Nozaki, Hiroki; Nakazawa, Jin; Dey, Anind K.; Tokuda, Hideyuki.

2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 96-104 7146515.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Okoshi, T, Ramos, J, Nozaki, H, Nakazawa, J, Dey, AK & Tokuda, H 2015, Attelia: Reducing user's cognitive load due to interruptive notifications on smart phones. in 2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015., 7146515, Institute of Electrical and Electronics Engineers Inc., pp. 96-104, 13th IEEE International Conference on Pervasive Computing and Communications, PerCom 2015, St. Louis, United States, 15/3/23. https://doi.org/10.1109/PERCOM.2015.7146515
Okoshi T, Ramos J, Nozaki H, Nakazawa J, Dey AK, Tokuda H. Attelia: Reducing user's cognitive load due to interruptive notifications on smart phones. In 2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 96-104. 7146515 https://doi.org/10.1109/PERCOM.2015.7146515
Okoshi, Tadashi ; Ramos, Julian ; Nozaki, Hiroki ; Nakazawa, Jin ; Dey, Anind K. ; Tokuda, Hideyuki. / Attelia : Reducing user's cognitive load due to interruptive notifications on smart phones. 2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 96-104
@inproceedings{b38208abb6aa48ef93596088fc8cc633,
title = "Attelia: Reducing user's cognitive load due to interruptive notifications on smart phones",
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.",
author = "Tadashi Okoshi and Julian Ramos and Hiroki Nozaki and Jin Nakazawa and Dey, {Anind K.} and Hideyuki Tokuda",
year = "2015",
month = "7",
day = "1",
doi = "10.1109/PERCOM.2015.7146515",
language = "English",
isbn = "9781479980338",
pages = "96--104",
booktitle = "2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Attelia

T2 - Reducing user's cognitive load due to interruptive notifications on smart phones

AU - Okoshi, Tadashi

AU - Ramos, Julian

AU - Nozaki, Hiroki

AU - Nakazawa, Jin

AU - Dey, Anind K.

AU - Tokuda, Hideyuki

PY - 2015/7/1

Y1 - 2015/7/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84942693968&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84942693968&partnerID=8YFLogxK

U2 - 10.1109/PERCOM.2015.7146515

DO - 10.1109/PERCOM.2015.7146515

M3 - Conference contribution

AN - SCOPUS:84942693968

SN - 9781479980338

SP - 96

EP - 104

BT - 2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -