Characterizing smartwatch usage in the wild

Xing Liu; Tianyu Chen; Feng Qian; Zhixiu Guo; Felix Xiaozhu Lin; Xiaofeng Wang; Kai Chen

doi:10.1145/3081333.3081351

Characterizing smartwatch usage in the wild

Xing Liu, Tianyu Chen, Feng Qian, Zhixiu Guo, Felix Xiaozhu Lin, Xiaofeng Wang, Kai Chen

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

61 Scopus citations

Abstract

Smartwatch has become one of the most popular wearable computers on the market. We conduct an IRB-approved measurement study involving 27 Android smartwatch users. Using a 106-day dataset collected from our participants, we perform indepth characterization of three key aspects of smartwatch usage "in the wild": usage patterns, energy consumption, and network traffic. Based on our findings, we identify key aspects of the smartwatch ecosystem that can be further improved, propose recommendations, and point out future research directions.

Original language	English (US)
Title of host publication	MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services
Publisher	Association for Computing Machinery, Inc
Pages	385-398
Number of pages	14
ISBN (Electronic)	9781450349284
DOIs	https://doi.org/10.1145/3081333.3081351
State	Published - Jun 16 2017
Externally published	Yes
Event	15th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2017 - Niagara Falls, United States Duration: Jun 19 2017 → Jun 23 2017

Publication series

Name	MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services

Conference

Conference	15th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2017
Country/Territory	United States
City	Niagara Falls
Period	6/19/17 → 6/23/17

Bibliographical note

Publisher Copyright:
© 2017 ACM.

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10.1145/3081333.3081351

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Liu, X., Chen, T., Qian, F., Guo, Z., Lin, F. X., Wang, X., & Chen, K. (2017). Characterizing smartwatch usage in the wild. In MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services (pp. 385-398). (MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services). Association for Computing Machinery, Inc. https://doi.org/10.1145/3081333.3081351

Characterizing smartwatch usage in the wild. / Liu, Xing; Chen, Tianyu; Qian, Feng et al.
MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. Association for Computing Machinery, Inc, 2017. p. 385-398 (MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services).

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

Liu, X, Chen, T, Qian, F, Guo, Z, Lin, FX, Wang, X & Chen, K 2017, Characterizing smartwatch usage in the wild. in MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services, Association for Computing Machinery, Inc, pp. 385-398, 15th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2017, Niagara Falls, United States, 6/19/17. https://doi.org/10.1145/3081333.3081351

Liu X, Chen T, Qian F, Guo Z, Lin FX, Wang X et al. Characterizing smartwatch usage in the wild. In MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. Association for Computing Machinery, Inc. 2017. p. 385-398. (MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services). doi: 10.1145/3081333.3081351

Liu, Xing ; Chen, Tianyu ; Qian, Feng et al. / Characterizing smartwatch usage in the wild. MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. Association for Computing Machinery, Inc, 2017. pp. 385-398 (MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services).

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Characterizing smartwatch usage in the wild

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