Evidence map›Paper›PMID 38233633›Full record

ArticleBehavior research methods2024

Development of an open-source solution to facilitate the use of one-button wearables in experience sampling designs.

Selina Volsa, David Lewetz, Vinka Mlakic, Chiara Bertagnoli, Samantha Hochstöger, Martina Rechl, Hannah Sertic, Bernad Batinic, Stefan Stieger

Abstract read
In one paragraph

Article in Behavior research methods, 2024. 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

9 authors.

Selina VolsaDepartment of Psychology and Psychodynamics, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria. selina.volsa@kl.ac.at.ORCID http://orcid.org/0000-0001-9795-0309
David LewetzDepartment of Psychology and Psychodynamics, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria.ORCID http://orcid.org/0000-0002-1120-2498
Vinka MlakicDepartment of Psychology and Psychodynamics, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria.ORCID http://orcid.org/0000-0001-7283-423X
Chiara BertagnoliDepartment of Psychology and Psychodynamics, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria.
Samantha HochstögerDepartment of Psychology and Psychodynamics, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria.
Martina RechlDepartment of Psychology and Psychodynamics, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria.
Hannah SerticDepartment of Psychology and Psychodynamics, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria.
Bernad BatinicDepartment of Work, Organizational and Media Psychology, Johannes Kepler University Linz, Altenbergstraße 69, 4040, Linz, Austria.ORCID http://orcid.org/0000-0002-8873-6308
Stefan StiegerDepartment of Psychology and Psychodynamics, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria.ORCID http://orcid.org/0000-0002-7784-6624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The experience sampling method (ESM) allows for a high degree of ecological validity compared to laboratory research, at the cost of greater effort for participants. It would therefore benefit from implementations that reduce participant effort. In the present paper, we introduce a screenless wrist-worn one-button wearable as an unobtrusive measurement method that can be employed in ESM designs. We developed an open-source Android application to make this commercially available wearable easily configurable and usable. Over the course of six pilot studies, we explored the technical viability (e.g., battery life, reliability of inputs) of this wearable. We compared data quality between wearables and smartphones in a within-subjects design, exploring both the input options of using the number of button presses as a Likert scale, as well as using the angle of the device as a Physical Analogue Scale. Assessments of Extraversion made with either of these methods were highly correlated to comparable assessments made with comparable methods on a smartphone (i.e., Likert scale or a Visual Analogue Scale, respectively). Furthermore, in a preregistered ESM field experiment (N = 134, 4 weeks), we compared compliance to real-life event triggers between wearable devices and smartphones. We found higher numbers of logged events in the wearable group, indicating better adherence to the event-contingent scheduling. Overall, despite the device's minimal capabilities and resulting limitations, one-button wearables can be beneficial for use in ESM designs.

Indexed as

Ecological Momentary AssessmentSmartphoneWearable Electronic DevicesAdultFemaleHumansMaleMobile ApplicationsReproducibility of ResultsResearch DesignYoung AdultAmbulatory assessmentEcological momentary assessmentExperience sampling methodPhysical analogue scaleWearables

Identifiers

PMID38233633
PMCPMC11335931

What OpenQuestion holds

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LicenceCC BY
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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.