Datawear: Self-reflection on the go or how to ethically use wearable cameras for research

Anya Skatova; Victoria E. Shipp; Lee Spacagna; Benjamin Bedwell; Ahmad Beltagui; Tom Rodden

doi:10.1145/2702613.2725450

Datawear: Self-reflection on the go or how to ethically use wearable cameras for research

Anya Skatova, Victoria E. Shipp, Lee Spacagna, Benjamin Bedwell, Ahmad Beltagui, Tom Rodden

School of Psychological Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

11 Citations (Scopus)

Abstract

A growing number of studies use wearable sensors, including cameras, to detect user activity patterns. When an object of academic investigation, these patterns are interpreted by researchers and conclusions are drawn about people's habits and routines. Alternatively, interpretations are provided by users themselves during extensive post-study interviews. Such approaches inevitably expose personal data collected about individuals to researchers, which can potentially change the behavior under investigation. We introduce a new approach to using wearable sensor data in research. It allows people to interpret and selfreflect on their data and submit for investigation only reflections, without sharing their raw data. In this interactivity, we present and discuss the Datawear mobile application prototype, which is designed to conduct "in the wild" studies of personal experiences.

Original language	English
Title of host publication	CHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems
Subtitle of host publication	Crossings
Publisher	Association for Computing Machinery (ACM)
Pages	323-326
Number of pages	4
Volume	18
ISBN (Electronic)	9781450331463
DOIs	https://doi.org/10.1145/2702613.2725450
Publication status	Published - 18 Apr 2015
Event	33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015: Crossings - COEX, Seoul, Korea, Republic of Duration: 18 Apr 2015 → 23 Apr 2015 Conference number: 33 http://chi2015.acm.org/

Conference

Conference	33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015
Abbreviated title	CHI 2015
Country/Territory	Korea, Republic of
City	Seoul
Period	18/04/15 → 23/04/15
Other	For over 30 years, the CHI conference (pronounced ‘kai’) has attracted the world’s leading researchers and practitioners in the field of Human Computer Interaction (HCI) from businesses and universities to share ground-breaking research and innovations related to how humans interact with digital technologies. The Association for Computing Machinery’s (ACM) CHI conference is the world's premiere conference on Human Factors in Computing Systems, presenting a highly selective showcase of the very best advances across the disciplines of computer science, cognitive psychology, design, social science, human factors, artificial intelligence, graphics, visualization, multi-media design and other disciplines.
Internet address	http://chi2015.acm.org/

Keywords

Ethics
Experience sampling
Self-reflection
Sensors
Wearable cameras

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Skatova, A., Shipp, V. E., Spacagna, L., Bedwell, B., Beltagui, A., & Rodden, T. (2015). Datawear: Self-reflection on the go or how to ethically use wearable cameras for research. In CHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems: Crossings (Vol. 18, pp. 323-326). Association for Computing Machinery (ACM). https://doi.org/10.1145/2702613.2725450

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Skatova, A, Shipp, VE, Spacagna, L, Bedwell, B, Beltagui, A & Rodden, T 2015, Datawear: Self-reflection on the go or how to ethically use wearable cameras for research. in CHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems: Crossings. vol. 18, Association for Computing Machinery (ACM), pp. 323-326, 33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015, Seoul, Korea, Republic of, 18/04/15. https://doi.org/10.1145/2702613.2725450

Datawear: Self-reflection on the go or how to ethically use wearable cameras for research. / Skatova, Anya; Shipp, Victoria E.; Spacagna, Lee et al.
CHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems: Crossings. Vol. 18 Association for Computing Machinery (ACM), 2015. p. 323-326.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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Skatova A, Shipp VE, Spacagna L, Bedwell B, Beltagui A, Rodden T. Datawear: Self-reflection on the go or how to ethically use wearable cameras for research. In CHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems: Crossings. Vol. 18. Association for Computing Machinery (ACM). 2015. p. 323-326 doi: 10.1145/2702613.2725450

Datawear: Self-reflection on the go or how to ethically use wearable cameras for research

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Keywords

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