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Self-Reports in the Field Using Smartwatches: An Open-Source Firmware Solution

In situ self-reports are a useful tool in the social sciences to supplement laboratory experiments. Smartwatches are a promising form factor to realize these methods. However, to date, no user-friendly, general-purpose solution has been available. This article therefore presents a newly developed, f...

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Detalles Bibliográficos
Autores principales: Volsa, Selina, Batinic, Bernad, Stieger, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915061/
https://www.ncbi.nlm.nih.gov/pubmed/35271125
http://dx.doi.org/10.3390/s22051980
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author Volsa, Selina
Batinic, Bernad
Stieger, Stefan
author_facet Volsa, Selina
Batinic, Bernad
Stieger, Stefan
author_sort Volsa, Selina
collection PubMed
description In situ self-reports are a useful tool in the social sciences to supplement laboratory experiments. Smartwatches are a promising form factor to realize these methods. However, to date, no user-friendly, general-purpose solution has been available. This article therefore presents a newly developed, free and open-source firmware that facilitates the Experience Sampling Method and other self-report methods on a commercially-available, programmable smartwatch based on the ESP32 microcontroller. In a small-scale pilot study comparing this smartwatch and firmware to an equivalent design on smartphones, participants using the smartwatch showed increased compliance. The presented project demonstrates a useful tool for complementary tools like smartphones for self-reports.
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spelling pubmed-89150612022-03-12 Self-Reports in the Field Using Smartwatches: An Open-Source Firmware Solution Volsa, Selina Batinic, Bernad Stieger, Stefan Sensors (Basel) Article In situ self-reports are a useful tool in the social sciences to supplement laboratory experiments. Smartwatches are a promising form factor to realize these methods. However, to date, no user-friendly, general-purpose solution has been available. This article therefore presents a newly developed, free and open-source firmware that facilitates the Experience Sampling Method and other self-report methods on a commercially-available, programmable smartwatch based on the ESP32 microcontroller. In a small-scale pilot study comparing this smartwatch and firmware to an equivalent design on smartphones, participants using the smartwatch showed increased compliance. The presented project demonstrates a useful tool for complementary tools like smartphones for self-reports. MDPI 2022-03-03 /pmc/articles/PMC8915061/ /pubmed/35271125 http://dx.doi.org/10.3390/s22051980 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Volsa, Selina
Batinic, Bernad
Stieger, Stefan
Self-Reports in the Field Using Smartwatches: An Open-Source Firmware Solution
title Self-Reports in the Field Using Smartwatches: An Open-Source Firmware Solution
title_full Self-Reports in the Field Using Smartwatches: An Open-Source Firmware Solution
title_fullStr Self-Reports in the Field Using Smartwatches: An Open-Source Firmware Solution
title_full_unstemmed Self-Reports in the Field Using Smartwatches: An Open-Source Firmware Solution
title_short Self-Reports in the Field Using Smartwatches: An Open-Source Firmware Solution
title_sort self-reports in the field using smartwatches: an open-source firmware solution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915061/
https://www.ncbi.nlm.nih.gov/pubmed/35271125
http://dx.doi.org/10.3390/s22051980
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