Evidence map›Paper›PMID 37514773›Full record

ArticleSensors (Basel, Switzerland)2023

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

Hannah R Nolasco, Andrew Vargo, Niklas Bohley, Christian Brinkhaus, Koichi Kise

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hannah R NolascoGraduate School of Informatics, Osaka Prefecture University, Sakai 599-8531, Japan.ORCID 0000-0001-5801-8850
Andrew VargoDepartment of Core Informatics, Graduate School of Informatics, Osaka Metropolitan University, Sakai 599-8531, Japan.ORCID 0000-0001-6605-0113
Niklas BohleyDepartment of Computer Science, University of Kaiserslautern-Landau, 67663 Kaiserslautern, Germany.ORCID 0009-0009-8836-8013
Christian BrinkhausDepartment of Computer Science, University of Kaiserslautern-Landau, 67663 Kaiserslautern, Germany.ORCID 0000-0002-7780-4221
Koichi KiseDepartment of Core Informatics, Graduate School of Informatics, Osaka Metropolitan University, Sakai 599-8531, Japan.ORCID 0000-0001-5779-6968

Funding

Osaka University Grand Challenge Research R4-2
6 · The paper itself

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.

Indexed as

Wearable Electronic DevicesAdultHumansSleepin-the-wildself-trackingwearable devices

Identifiers

PMID37514773
PMCPMC10385768

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.