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University students’ opinions towards mobile sensing data collection: A qualitative analysis
mHealth researchers can now collect a wealth of data using “life tracking apps” (LTAs), which are smartphone applications that use mobile sensing to capture and summarise a multitude of data channels (e.g., location, movement, keyword use, sleep, exercise, and so on). The combined wealth of informat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134000/ https://www.ncbi.nlm.nih.gov/pubmed/37122814 http://dx.doi.org/10.3389/fdgth.2023.1125276 |
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author | Cooper, Jack R. H. Scarf, Damian Conner, Tamlin S. |
author_facet | Cooper, Jack R. H. Scarf, Damian Conner, Tamlin S. |
author_sort | Cooper, Jack R. H. |
collection | PubMed |
description | mHealth researchers can now collect a wealth of data using “life tracking apps” (LTAs), which are smartphone applications that use mobile sensing to capture and summarise a multitude of data channels (e.g., location, movement, keyword use, sleep, exercise, and so on). The combined wealth of information can create digital signatures of individuals, which hold immense promise for mental health research and interventions by allowing new insights into moment-to-moment changes in behaviour and mental states. However, little is known about what a common research demographic (university students) thinks about these apps and what might factor into their decisions to participate in research using a LTA. This qualitative study ran five focus group sessions (21 students in total) to explore students’ experiences, beliefs, and opinions about LTAs to generate insights into what would make them more or less likely to participate in research involving LTAs. Transcripts were coded and examined for categories using qualitative content analysis. Important categories that emerged were privacy (although this varied based on the individual and data being collected), data security, inconvenience, intrusiveness, financial compensation, and the perceived nature of the research team responsible. On the basis of these categories, we derived seven key insights to increase student participation in research using LTAs: strengthen and communicate privacy and data security, design the app to be as convenient as possible to users, maximise passive data collection, think cautiously before tracking data perceived as “creepy” such as messages, offer suitable financial compensation, be transparent about goals and justification for data being collection to build trust, and attract participants by highlighting how the app can help them achieve their goals. With these insights, mHealth researchers can maximise their participant pool and improve this nascent and promising field. |
format | Online Article Text |
id | pubmed-10134000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101340002023-04-28 University students’ opinions towards mobile sensing data collection: A qualitative analysis Cooper, Jack R. H. Scarf, Damian Conner, Tamlin S. Front Digit Health Digital Health mHealth researchers can now collect a wealth of data using “life tracking apps” (LTAs), which are smartphone applications that use mobile sensing to capture and summarise a multitude of data channels (e.g., location, movement, keyword use, sleep, exercise, and so on). The combined wealth of information can create digital signatures of individuals, which hold immense promise for mental health research and interventions by allowing new insights into moment-to-moment changes in behaviour and mental states. However, little is known about what a common research demographic (university students) thinks about these apps and what might factor into their decisions to participate in research using a LTA. This qualitative study ran five focus group sessions (21 students in total) to explore students’ experiences, beliefs, and opinions about LTAs to generate insights into what would make them more or less likely to participate in research involving LTAs. Transcripts were coded and examined for categories using qualitative content analysis. Important categories that emerged were privacy (although this varied based on the individual and data being collected), data security, inconvenience, intrusiveness, financial compensation, and the perceived nature of the research team responsible. On the basis of these categories, we derived seven key insights to increase student participation in research using LTAs: strengthen and communicate privacy and data security, design the app to be as convenient as possible to users, maximise passive data collection, think cautiously before tracking data perceived as “creepy” such as messages, offer suitable financial compensation, be transparent about goals and justification for data being collection to build trust, and attract participants by highlighting how the app can help them achieve their goals. With these insights, mHealth researchers can maximise their participant pool and improve this nascent and promising field. Frontiers Media S.A. 2023-04-13 /pmc/articles/PMC10134000/ /pubmed/37122814 http://dx.doi.org/10.3389/fdgth.2023.1125276 Text en © 2023 Cooper, Scarf and Conner. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Digital Health Cooper, Jack R. H. Scarf, Damian Conner, Tamlin S. University students’ opinions towards mobile sensing data collection: A qualitative analysis |
title | University students’ opinions towards mobile sensing data collection: A qualitative analysis |
title_full | University students’ opinions towards mobile sensing data collection: A qualitative analysis |
title_fullStr | University students’ opinions towards mobile sensing data collection: A qualitative analysis |
title_full_unstemmed | University students’ opinions towards mobile sensing data collection: A qualitative analysis |
title_short | University students’ opinions towards mobile sensing data collection: A qualitative analysis |
title_sort | university students’ opinions towards mobile sensing data collection: a qualitative analysis |
topic | Digital Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134000/ https://www.ncbi.nlm.nih.gov/pubmed/37122814 http://dx.doi.org/10.3389/fdgth.2023.1125276 |
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