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Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use
Psychological science has spent many years attempting to understand the impact of new technology on people and society. However, the frequent use of self-report methods to quantify patterns of usage struggle to capture subtle nuances of human–computer interaction. This has become particularly proble...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863755/ https://www.ncbi.nlm.nih.gov/pubmed/34085234 http://dx.doi.org/10.3758/s13428-021-01585-7 |
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author | Geyer, Kristoffer Ellis, David A. Shaw, Heather Davidson, Brittany I. |
author_facet | Geyer, Kristoffer Ellis, David A. Shaw, Heather Davidson, Brittany I. |
author_sort | Geyer, Kristoffer |
collection | PubMed |
description | Psychological science has spent many years attempting to understand the impact of new technology on people and society. However, the frequent use of self-report methods to quantify patterns of usage struggle to capture subtle nuances of human–computer interaction. This has become particularly problematic for devices like smartphones that are used frequently and for a variety of purposes. While commercial apps can provide an element of objectivity, these are ‘closed’ and cannot be adapted to deliver a researcher-focused ‘open’ platform that allows for straightforward replication. Therefore, we have developed an Android app that provides accurate, highly detailed, and customizable accounts of smartphone usage without compromising participants’ privacy. Further recommendations and code are provided to assist with data analysis. All source code, materials, and data are freely available (see links in supplementary materials section). |
format | Online Article Text |
id | pubmed-8863755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-88637552022-03-02 Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use Geyer, Kristoffer Ellis, David A. Shaw, Heather Davidson, Brittany I. Behav Res Methods Original Manuscript Psychological science has spent many years attempting to understand the impact of new technology on people and society. However, the frequent use of self-report methods to quantify patterns of usage struggle to capture subtle nuances of human–computer interaction. This has become particularly problematic for devices like smartphones that are used frequently and for a variety of purposes. While commercial apps can provide an element of objectivity, these are ‘closed’ and cannot be adapted to deliver a researcher-focused ‘open’ platform that allows for straightforward replication. Therefore, we have developed an Android app that provides accurate, highly detailed, and customizable accounts of smartphone usage without compromising participants’ privacy. Further recommendations and code are provided to assist with data analysis. All source code, materials, and data are freely available (see links in supplementary materials section). Springer US 2021-06-03 2022 /pmc/articles/PMC8863755/ /pubmed/34085234 http://dx.doi.org/10.3758/s13428-021-01585-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Manuscript Geyer, Kristoffer Ellis, David A. Shaw, Heather Davidson, Brittany I. Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use |
title | Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use |
title_full | Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use |
title_fullStr | Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use |
title_full_unstemmed | Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use |
title_short | Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use |
title_sort | open-source smartphone app and tools for measuring, quantifying, and visualizing technology use |
topic | Original Manuscript |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863755/ https://www.ncbi.nlm.nih.gov/pubmed/34085234 http://dx.doi.org/10.3758/s13428-021-01585-7 |
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