Understanding the predictability of smartwatch usage

Yunsheng Yao; Xing Liu; Feng Qian

doi:10.1145/3325424.3329661

Understanding the predictability of smartwatch usage

Yunsheng Yao, Xing Liu, Feng Qian

Computer Science and Engineering

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

1 Scopus citations

Abstract

We explore the predictability of smartwatch usage using a 9-month dataset collected from 27 users through a crowd-sourced user trial. Specifically, we investigate the predictability of (1) the device energy consumption, (2) the application launch time, and (3) the screen display. Overall, we find that all three aspects exhibit reasonably good predictability. Our findings provide key knowledge and insights for developing efficient and intelligent energy management services for future smartwatch systems.

Original language	English (US)
Title of host publication	WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019
Publisher	Association for Computing Machinery, Inc
Pages	11-16
Number of pages	6
ISBN (Electronic)	9781450367752
DOIs	https://doi.org/10.1145/3325424.3329661
State	Published - Jun 12 2019
Event	5th ACM Workshop on Wearable Systems and Applications, WearSys 2019, co-located with MobiSys 2019 - Seoul, Korea, Republic of Duration: Jun 21 2019 → …

Publication series

Name	WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019

Conference

Conference	5th ACM Workshop on Wearable Systems and Applications, WearSys 2019, co-located with MobiSys 2019
Country/Territory	Korea, Republic of
City	Seoul
Period	6/21/19 → …

Bibliographical note

Publisher Copyright:
© 2019 ACM.

Keywords

Energy consumption
Smartwatch
Usage predictability

Access

10.1145/3325424.3329661

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Cite this

Yao, Y., Liu, X., & Qian, F. (2019). Understanding the predictability of smartwatch usage. In WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019 (pp. 11-16). (WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3325424.3329661

Understanding the predictability of smartwatch usage. / Yao, Yunsheng; Liu, Xing; Qian, Feng.
WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019. Association for Computing Machinery, Inc, 2019. p. 11-16 (WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019).

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

Yao, Y, Liu, X & Qian, F 2019, Understanding the predictability of smartwatch usage. in WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019. WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019, Association for Computing Machinery, Inc, pp. 11-16, 5th ACM Workshop on Wearable Systems and Applications, WearSys 2019, co-located with MobiSys 2019, Seoul, Korea, Republic of, 6/21/19. https://doi.org/10.1145/3325424.3329661

Yao Y, Liu X, Qian F. Understanding the predictability of smartwatch usage. In WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019. Association for Computing Machinery, Inc. 2019. p. 11-16. (WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019). doi: 10.1145/3325424.3329661

Yao, Yunsheng ; Liu, Xing ; Qian, Feng. / Understanding the predictability of smartwatch usage. WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019. Association for Computing Machinery, Inc, 2019. pp. 11-16 (WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019).

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Understanding the predictability of smartwatch usage

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access

OpenUrl availability

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Cite this