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

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

11 Citations (Scopus)


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 languageEnglish
Title of host publicationCHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationCrossings
PublisherAssociation for Computing Machinery (ACM)
Number of pages4
ISBN (Electronic)9781450331463
Publication statusPublished - 18 Apr 2015
Event33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015: Crossings - COEX, Seoul, Korea, Republic of
Duration: 18 Apr 201523 Apr 2015
Conference number: 33


Conference33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015
Abbreviated titleCHI 2015
Country/TerritoryKorea, Republic of
OtherFor 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


  • Ethics
  • Experience sampling
  • Self-reflection
  • Sensors
  • Wearable cameras


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