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ScreenLife Capture: An open-source and user-friendly framework for collecting screenomes from Android smartphones
As our interactions with each other become increasingly digitally mediated, there is growing interest in the study of people’s digital experiences. To better understand digital experiences, some researchers have proposed the use of screenomes. This involves the collection of sequential high-frequenc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607811/ https://www.ncbi.nlm.nih.gov/pubmed/36289177 http://dx.doi.org/10.3758/s13428-022-02006-z |
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author | Yee, Andrew Z. H. Yu, Ryan Lim, Sun Sun Lim, Kwan Hui Dinh, Tien Tuan Anh Loh, Lionell Hadianto, Andre Quizon, Miguel |
author_facet | Yee, Andrew Z. H. Yu, Ryan Lim, Sun Sun Lim, Kwan Hui Dinh, Tien Tuan Anh Loh, Lionell Hadianto, Andre Quizon, Miguel |
author_sort | Yee, Andrew Z. H. |
collection | PubMed |
description | As our interactions with each other become increasingly digitally mediated, there is growing interest in the study of people’s digital experiences. To better understand digital experiences, some researchers have proposed the use of screenomes. This involves the collection of sequential high-frequency screenshots which provide detailed objective records of individuals’ interaction with screen devices over time. Despite its usefulness, there remains no readily available tool that researchers can use to run their own screenome studies. To fill this gap, we introduce ScreenLife Capture, a user-friendly and open-source software to collect screenomes from smartphones. Using this tool, researchers can set up smartphone screenome studies even with limited programming knowledge and resources. We piloted the tool in an exploratory mixed-method study of 20 college students, collecting over 740,000 screenshots over a 2-week period. We found that smartphone use is highly heterogeneous, characterized by threads of experiences. Using in-depth interviews, we also explored the impact that constant background surveillance of smartphone use had on participants. Participants generally had slight psychological discomfort which fades after a few days, would suspend screen recording for activity perceived to be extremely private, and recounted slight changes in behavior. Implications for future research is discussed. |
format | Online Article Text |
id | pubmed-9607811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-96078112022-10-28 ScreenLife Capture: An open-source and user-friendly framework for collecting screenomes from Android smartphones Yee, Andrew Z. H. Yu, Ryan Lim, Sun Sun Lim, Kwan Hui Dinh, Tien Tuan Anh Loh, Lionell Hadianto, Andre Quizon, Miguel Behav Res Methods Article As our interactions with each other become increasingly digitally mediated, there is growing interest in the study of people’s digital experiences. To better understand digital experiences, some researchers have proposed the use of screenomes. This involves the collection of sequential high-frequency screenshots which provide detailed objective records of individuals’ interaction with screen devices over time. Despite its usefulness, there remains no readily available tool that researchers can use to run their own screenome studies. To fill this gap, we introduce ScreenLife Capture, a user-friendly and open-source software to collect screenomes from smartphones. Using this tool, researchers can set up smartphone screenome studies even with limited programming knowledge and resources. We piloted the tool in an exploratory mixed-method study of 20 college students, collecting over 740,000 screenshots over a 2-week period. We found that smartphone use is highly heterogeneous, characterized by threads of experiences. Using in-depth interviews, we also explored the impact that constant background surveillance of smartphone use had on participants. Participants generally had slight psychological discomfort which fades after a few days, would suspend screen recording for activity perceived to be extremely private, and recounted slight changes in behavior. Implications for future research is discussed. Springer US 2022-10-26 /pmc/articles/PMC9607811/ /pubmed/36289177 http://dx.doi.org/10.3758/s13428-022-02006-z Text en © The Psychonomic Society, Inc. 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Yee, Andrew Z. H. Yu, Ryan Lim, Sun Sun Lim, Kwan Hui Dinh, Tien Tuan Anh Loh, Lionell Hadianto, Andre Quizon, Miguel ScreenLife Capture: An open-source and user-friendly framework for collecting screenomes from Android smartphones |
title | ScreenLife Capture: An open-source and user-friendly framework for collecting screenomes from Android smartphones |
title_full | ScreenLife Capture: An open-source and user-friendly framework for collecting screenomes from Android smartphones |
title_fullStr | ScreenLife Capture: An open-source and user-friendly framework for collecting screenomes from Android smartphones |
title_full_unstemmed | ScreenLife Capture: An open-source and user-friendly framework for collecting screenomes from Android smartphones |
title_short | ScreenLife Capture: An open-source and user-friendly framework for collecting screenomes from Android smartphones |
title_sort | screenlife capture: an open-source and user-friendly framework for collecting screenomes from android smartphones |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607811/ https://www.ncbi.nlm.nih.gov/pubmed/36289177 http://dx.doi.org/10.3758/s13428-022-02006-z |
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