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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
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Examining Participant Adherence with Wearables in an In-the-Wild Setting.

Hannah R Nolasco1, Andrew Vargo2, Niklas Bohley3

  • 1Graduate School of Informatics, Osaka Prefecture University, Sakai 599-8531, Japan.

Sensors (Basel, Switzerland)
|July 29, 2023
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Summary
This summary is machine-generated.

This study shows high usage of wearable sleep trackers in a month-long, real-world study with 31 adults. Findings inform future in-the-wild wearable technology research.

Keywords:
in-the-wildself-trackingwearable devices

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Area of Science:

  • Ubiquitous computing
  • Human-computer interaction
  • Wearable technology

Background:

  • Wearable devices generate valuable data for ubiquitous computing research, particularly for sleep habit analysis.
  • Current data validation often relies on limited, short-term lab studies with unrepresentative samples.
  • In-the-wild wearable studies face financial risks and logistical challenges, often leading to university student participation.

Purpose of the Study:

  • To assess the feasibility and participant adherence of a month-long, in-the-wild study using wearable sleep trackers.
  • To provide data on device usage in a real-world setting beyond typical laboratory conditions.
  • To inform the design and implementation of future mid-size, in-the-wild wearable technology studies.

Main Methods:

  • Conducted a month-long in-the-wild study involving 31 Japanese adults.
  • Participants utilized the Oura ring, a commercially available, unobtrusive sleep tracking device.
  • Focused on measuring device usage and adherence throughout the study period.

Main Results:

  • Achieved high device usage rates among participants over the one-month study duration.
  • Demonstrated the viability of conducting longer-term, mid-size in-the-wild studies with wearable technology.
  • Collected data on real-world adherence patterns for sleep tracking wearables.

Conclusions:

  • In-the-wild studies with wearable devices can yield high participant engagement and device usage.
  • Findings support the design and deployment of more extensive, real-world wearable technology research.
  • This study provides a valuable reference for researchers planning similar in-the-wild investigations.