ITU

Participant Driven Photo Elicitation for Understanding Activity Tracking: Benefits and Limitations

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Standard

Participant Driven Photo Elicitation for Understanding Activity Tracking: Benefits and Limitations. / Jensen, Nanna Gorm; Shklovski, Irina.

CSCW '17 Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. Association for Computing Machinery, 2017. p. 1350-1361 (Computer Supported Cooperative Work).

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Harvard

Jensen, NG & Shklovski, I 2017, Participant Driven Photo Elicitation for Understanding Activity Tracking: Benefits and Limitations. in CSCW '17 Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. Association for Computing Machinery, Computer Supported Cooperative Work, pp. 1350-1361. https://doi.org/10.1145/2998181.2998214

APA

Jensen, N. G., & Shklovski, I. (2017). Participant Driven Photo Elicitation for Understanding Activity Tracking: Benefits and Limitations. In CSCW '17 Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 1350-1361). Association for Computing Machinery. Computer Supported Cooperative Work https://doi.org/10.1145/2998181.2998214

Vancouver

Jensen NG, Shklovski I. Participant Driven Photo Elicitation for Understanding Activity Tracking: Benefits and Limitations. In CSCW '17 Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. Association for Computing Machinery. 2017. p. 1350-1361. (Computer Supported Cooperative Work). https://doi.org/10.1145/2998181.2998214

Author

Jensen, Nanna Gorm ; Shklovski, Irina. / Participant Driven Photo Elicitation for Understanding Activity Tracking: Benefits and Limitations. CSCW '17 Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. Association for Computing Machinery, 2017. pp. 1350-1361 (Computer Supported Cooperative Work).

Bibtex

@inproceedings{49ae27a661c34ee394f6986c01fb3d50,
title = "Participant Driven Photo Elicitation for Understanding Activity Tracking: Benefits and Limitations",
abstract = "Studying in-situ technology use over time can be difficult and this is especially so when considering technologies such as activity tracking devices explicitly designed to be unobtrusive. Yet understanding activity tracking in practice is crucial, as tracking technologies become important tools for health promotion and health insurance programs. In this paper, we describe a method for a longitudinal participant-driven photo elicitation study of activity tracking. During the five-month long study, our drop-out rates were low and we observed idiosyncratic practices with lapses and particular use patterns among participants along with significant self-reflection on activity tracking as a practice. We describe our method in detail, discussing the necessary adaptations for the study of activity tracking practices. We offer our experiences of benefits and challenges of this process, and suggest points for consideration for future studies in the area.",
keywords = "qualitative methods, methodology, self tracking, wearable computing, methodology, qualitative research, wearable computing, self tracking",
author = "Jensen, {Nanna Gorm} and Irina Shklovski",
year = "2017",
doi = "10.1145/2998181.2998214",
language = "English",
isbn = "978-1-4503-4335-0",
series = "Computer Supported Cooperative Work",
publisher = "Association for Computing Machinery",
pages = "1350--1361",
booktitle = "CSCW '17 Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing",
address = "United States",

}

RIS

TY - GEN

T1 - Participant Driven Photo Elicitation for Understanding Activity Tracking: Benefits and Limitations

AU - Jensen, Nanna Gorm

AU - Shklovski, Irina

PY - 2017

Y1 - 2017

N2 - Studying in-situ technology use over time can be difficult and this is especially so when considering technologies such as activity tracking devices explicitly designed to be unobtrusive. Yet understanding activity tracking in practice is crucial, as tracking technologies become important tools for health promotion and health insurance programs. In this paper, we describe a method for a longitudinal participant-driven photo elicitation study of activity tracking. During the five-month long study, our drop-out rates were low and we observed idiosyncratic practices with lapses and particular use patterns among participants along with significant self-reflection on activity tracking as a practice. We describe our method in detail, discussing the necessary adaptations for the study of activity tracking practices. We offer our experiences of benefits and challenges of this process, and suggest points for consideration for future studies in the area.

AB - Studying in-situ technology use over time can be difficult and this is especially so when considering technologies such as activity tracking devices explicitly designed to be unobtrusive. Yet understanding activity tracking in practice is crucial, as tracking technologies become important tools for health promotion and health insurance programs. In this paper, we describe a method for a longitudinal participant-driven photo elicitation study of activity tracking. During the five-month long study, our drop-out rates were low and we observed idiosyncratic practices with lapses and particular use patterns among participants along with significant self-reflection on activity tracking as a practice. We describe our method in detail, discussing the necessary adaptations for the study of activity tracking practices. We offer our experiences of benefits and challenges of this process, and suggest points for consideration for future studies in the area.

KW - qualitative methods

KW - methodology

KW - self tracking

KW - wearable computing

KW - methodology

KW - qualitative research

KW - wearable computing

KW - self tracking

U2 - 10.1145/2998181.2998214

DO - 10.1145/2998181.2998214

M3 - Article in proceedings

SN - 978-1-4503-4335-0

T3 - Computer Supported Cooperative Work

SP - 1350

EP - 1361

BT - CSCW '17 Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

PB - Association for Computing Machinery

ER -

ID: 82948992