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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-8915061 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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