A data-driven study on preferred situations for running

Shihan Wang; Joris Alexander Timmers; Simon Scheider; Karlijn Sporrel; Zeynep Akata; Ben Kröse

doi:10.1145/3267305.3267552

A data-driven study on preferred situations for running

Shihan Wang, Joris Alexander Timmers, Simon Scheider, Karlijn Sporrel, Zeynep Akata, Ben Kröse

Digital life

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

34 Downloads (Pure)

Abstract

We analyzed a large data set from a mobile exercise application to find the preferred running situations of a large number of users. We categorized the users according to
their running behaviors (i.e. regularly active, or rarely ac-tive over the year), then studied the influence of 15 features, including temporal, geographical and weather-based features for different user groups. We found that geographical features influence the behavior of less active runners.

Original language	English
Title of host publication	UbiComp '18
Subtitle of host publication	Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
Place of Publication	New YorkNY
Publisher	Association for Computing Machinery
Pages	283-286
ISBN (Print)	9781450359665
DOIs	https://doi.org/10.1145/3267305.3267552
Publication status	Published - Oct 2018
Event	2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers - Singapore, Singapore Duration: 8 Oct 2018 → 12 Oct 2018

Conference

Conference	2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
Abbreviated title	UbiComp '18
Country/Territory	Singapore
City	Singapore
Period	8/10/18 → 12/10/18

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10.1145/3267305.3267552

3267305.3267552Final published version, 337 KB

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Wang, S., Timmers, J. A., Scheider, S., Sporrel, K., Akata, Z., & Kröse, B. (2018). A data-driven study on preferred situations for running. In UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (pp. 283-286). Association for Computing Machinery. https://doi.org/10.1145/3267305.3267552

@inproceedings{a019e306334e4ce59bc54c552a8d2645,

title = "A data-driven study on preferred situations for running",

abstract = "We analyzed a large data set from a mobile exercise application to find the preferred running situations of a large number of users. We categorized the users according totheir running behaviors (i.e. regularly active, or rarely ac-tive over the year), then studied the influence of 15 features, including temporal, geographical and weather-based features for different user groups. We found that geographical features influence the behavior of less active runners.",

author = "Shihan Wang and Timmers, {Joris Alexander} and Simon Scheider and Karlijn Sporrel and Zeynep Akata and Ben Kr{\"o}se",

year = "2018",

month = oct,

doi = "10.1145/3267305.3267552",

language = "English",

isbn = "9781450359665",

pages = "283--286",

booktitle = "UbiComp '18",

publisher = "Association for Computing Machinery",

note = "2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, UbiComp '18 ; Conference date: 08-10-2018 Through 12-10-2018",

}

Wang, S, Timmers, JA, Scheider, S, Sporrel, K, Akata, Z & Kröse, B 2018, A data-driven study on preferred situations for running. in UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. Association for Computing Machinery, New YorkNY, pp. 283-286, 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, Singapore, Singapore, 8/10/18. https://doi.org/10.1145/3267305.3267552

A data-driven study on preferred situations for running. / Wang, Shihan; Timmers, Joris Alexander; Scheider, Simon et al.
UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. New YorkNY: Association for Computing Machinery, 2018. p. 283-286.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - A data-driven study on preferred situations for running

AU - Wang, Shihan

AU - Timmers, Joris Alexander

AU - Scheider, Simon

AU - Sporrel, Karlijn

AU - Akata, Zeynep

AU - Kröse, Ben

PY - 2018/10

Y1 - 2018/10

N2 - We analyzed a large data set from a mobile exercise application to find the preferred running situations of a large number of users. We categorized the users according totheir running behaviors (i.e. regularly active, or rarely ac-tive over the year), then studied the influence of 15 features, including temporal, geographical and weather-based features for different user groups. We found that geographical features influence the behavior of less active runners.

AB - We analyzed a large data set from a mobile exercise application to find the preferred running situations of a large number of users. We categorized the users according totheir running behaviors (i.e. regularly active, or rarely ac-tive over the year), then studied the influence of 15 features, including temporal, geographical and weather-based features for different user groups. We found that geographical features influence the behavior of less active runners.

U2 - 10.1145/3267305.3267552

DO - 10.1145/3267305.3267552

M3 - Conference contribution

SN - 9781450359665

SP - 283

EP - 286

BT - UbiComp '18

PB - Association for Computing Machinery

CY - New YorkNY

T2 - 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers

Y2 - 8 October 2018 through 12 October 2018

ER -

Wang S, Timmers JA, Scheider S, Sporrel K, Akata Z, Kröse B. A data-driven study on preferred situations for running. In UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. New YorkNY: Association for Computing Machinery. 2018. p. 283-286 doi: 10.1145/3267305.3267552

A data-driven study on preferred situations for running

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