Attelia: Sensing user's attention status on smart phones

Tadashi Okoshi; Jin Nakazawa; Hideyuki Tokuda

doi:10.1145/2638728.2638802

Attelia: Sensing user's attention status on smart phones

Tadashi Okoshi, Jin Nakazawa, Hideyuki Tokuda

Faculty of Environment and Information Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Citations (Scopus)

Abstract

In progressing ubiquitous computing where number of devices, applications and the web services are everincreasing, human user's attention is a new bottleneck in computing. This paper proposes Attelia, a novel middleware that senses user's attention status on user'ssmart phones in real-time, without any dedicated psycho-physiological sensors. To find better delivery timings of interruptive notifications from various applications and services to mobile users, Attelia detects breakpoint[16] of user's activity on the smart phones, with our novel "Application as a Sensor"(AsaS) approach and machine learning technique. Our initial evaluation of Attelia shows it can detect breakpoints of users with accuracy of 80 - 90%.

Original language	English
Title of host publication	UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Publisher	Association for Computing Machinery, Inc
Pages	139-142
Number of pages	4
ISBN (Electronic)	9781450330473
DOIs	https://doi.org/10.1145/2638728.2638802
Publication status	Published - 2014 Jan 1
Event	2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States Duration: 2014 Sep 13 → 2014 Sep 17

Publication series

Name	UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Other

Other	2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014
Country	United States
City	Seattle
Period	14/9/13 → 14/9/17

Keywords

Interruption
Mobile sensing
Notification
Smart phones, machine learning
User attention

ASJC Scopus subject areas

Software

Access to Document

10.1145/2638728.2638802

Fingerprint Dive into the research topics of 'Attelia: Sensing user's attention status on smart phones'. Together they form a unique fingerprint.

Cite this

Okoshi, T., Nakazawa, J., & Tokuda, H. (2014). Attelia: Sensing user's attention status on smart phones. In UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 139-142). (UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing). Association for Computing Machinery, Inc. https://doi.org/10.1145/2638728.2638802

Attelia : Sensing user's attention status on smart phones. / Okoshi, Tadashi; Nakazawa, Jin; Tokuda, Hideyuki.

UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2014. p. 139-142 (UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Okoshi, T, Nakazawa, J & Tokuda, H 2014, Attelia: Sensing user's attention status on smart phones. in UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Association for Computing Machinery, Inc, pp. 139-142, 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014, Seattle, United States, 14/9/13. https://doi.org/10.1145/2638728.2638802

Okoshi T, Nakazawa J, Tokuda H. Attelia: Sensing user's attention status on smart phones. In UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc. 2014. p. 139-142. (UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing). https://doi.org/10.1145/2638728.2638802

Okoshi, Tadashi ; Nakazawa, Jin ; Tokuda, Hideyuki. / Attelia : Sensing user's attention status on smart phones. UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2014. pp. 139-142 (UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing).

@inproceedings{9ae4b6baf83e4f9d9ada5f772a2e46ab,

title = "Attelia: Sensing user's attention status on smart phones",

abstract = "In progressing ubiquitous computing where number of devices, applications and the web services are everincreasing, human user's attention is a new bottleneck in computing. This paper proposes Attelia, a novel middleware that senses user's attention status on user'ssmart phones in real-time, without any dedicated psycho-physiological sensors. To find better delivery timings of interruptive notifications from various applications and services to mobile users, Attelia detects breakpoint[16] of user's activity on the smart phones, with our novel {"}Application as a Sensor{"}(AsaS) approach and machine learning technique. Our initial evaluation of Attelia shows it can detect breakpoints of users with accuracy of 80 - 90%.",

keywords = "Interruption, Mobile sensing, Notification, Smart phones, machine learning, User attention",

author = "Tadashi Okoshi and Jin Nakazawa and Hideyuki Tokuda",

year = "2014",

month = jan,

day = "1",

doi = "10.1145/2638728.2638802",

language = "English",

series = "UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing",

publisher = "Association for Computing Machinery, Inc",

pages = "139--142",

booktitle = "UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing",

note = "2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 ; Conference date: 13-09-2014 Through 17-09-2014",

}

TY - GEN

T1 - Attelia

T2 - 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014

AU - Okoshi, Tadashi

AU - Nakazawa, Jin

AU - Tokuda, Hideyuki

PY - 2014/1/1

Y1 - 2014/1/1

N2 - In progressing ubiquitous computing where number of devices, applications and the web services are everincreasing, human user's attention is a new bottleneck in computing. This paper proposes Attelia, a novel middleware that senses user's attention status on user'ssmart phones in real-time, without any dedicated psycho-physiological sensors. To find better delivery timings of interruptive notifications from various applications and services to mobile users, Attelia detects breakpoint[16] of user's activity on the smart phones, with our novel "Application as a Sensor"(AsaS) approach and machine learning technique. Our initial evaluation of Attelia shows it can detect breakpoints of users with accuracy of 80 - 90%.

AB - In progressing ubiquitous computing where number of devices, applications and the web services are everincreasing, human user's attention is a new bottleneck in computing. This paper proposes Attelia, a novel middleware that senses user's attention status on user'ssmart phones in real-time, without any dedicated psycho-physiological sensors. To find better delivery timings of interruptive notifications from various applications and services to mobile users, Attelia detects breakpoint[16] of user's activity on the smart phones, with our novel "Application as a Sensor"(AsaS) approach and machine learning technique. Our initial evaluation of Attelia shows it can detect breakpoints of users with accuracy of 80 - 90%.

KW - Interruption

KW - Mobile sensing

KW - Notification

KW - Smart phones, machine learning

KW - User attention

UR - http://www.scopus.com/inward/record.url?scp=84908665239&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84908665239&partnerID=8YFLogxK

U2 - 10.1145/2638728.2638802

DO - 10.1145/2638728.2638802

M3 - Conference contribution

AN - SCOPUS:84908665239

T3 - UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

SP - 139

EP - 142

BT - UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

PB - Association for Computing Machinery, Inc

Y2 - 13 September 2014 through 17 September 2014

ER -