Examining Participant Adherence with Wearables in an In-the-Wild Setting

Sensors (Basel). 2023 Jul 18;23(14):6479. doi: 10.3390/s23146479.

Abstract

Wearable devices offer a wealth of data for ubiquitous computing researchers. For instance, sleep data from a wearable could be used to identify an individual's harmful habits. Recently, devices which are unobtrusive in size, setup, and maintenance are becoming commercially available. However, most data validation for these devices come from brief, short-term laboratory studies or experiments which have unrepresentative samples that are also inaccessible to most researchers. For wearables research conducted in-the-wild, the prospect of running a study has the risk of financial costs and failure. Thus, when researchers conduct in-the-wild studies, the majority of participants tend to be university students. In this paper, we present a month-long in-the-wild study with 31 Japanese adults who wore a sleep tracking device called the Oura ring. The high device usage results found in this study can be used to inform the design and deployment of longer-term mid-size in-the-wild studies.

Keywords: in-the-wild; self-tracking; wearable devices.

MeSH terms

  • Adult
  • Humans
  • Sleep
  • Wearable Electronic Devices*