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The perceptions of social media users of digital detox apps considering personality traits
The purpose of this study was to investigate the perceptions of users about using digital detox applications and to display relationships among personality traits and technology-related variables. This study was designed using survey approach and employed Generalized Structured Component Analysis (G...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964389/ https://www.ncbi.nlm.nih.gov/pubmed/35370441 http://dx.doi.org/10.1007/s10639-022-11022-7 |
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author | Nguyen, Vinh T. |
author_facet | Nguyen, Vinh T. |
author_sort | Nguyen, Vinh T. |
collection | PubMed |
description | The purpose of this study was to investigate the perceptions of users about using digital detox applications and to display relationships among personality traits and technology-related variables. This study was designed using survey approach and employed Generalized Structured Component Analysis (GSCA). As such, 11 hypotheses were constructed and tested. The study recruited 263 participants who utilize detox applications to avoid social media distractions. Data were collected through Google Form and analyzed using GSCA Pro 1.1 to better understand whether the proposed conceptual model fits the data. The results of the study indicated that behavioral intention predicted usage behavior significantly; performance expectancy, effort expectancy, and social influence positively affected behavioral intention; in turn, agreeableness and extroversion positively influenced performance expectancy, and extroversion affected effort expectancy; finally, neuroticism had a statistically significant and negatively associated with effort expectancy of using social media detox apps. The significant exceptions were that facilitating conditions were not predictive of behavioral intention, openness to experience did not influence performance expectancy, and conscientiousness was not linked to effort expectancy. The proposed conceptual model explained 56.68% of the amount of variation, indicating that instructors, policy makers and software designers should consider personal factors for preparing practical intervention approaches to mitigate learning issues related to social media distraction. |
format | Online Article Text |
id | pubmed-8964389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-89643892022-03-30 The perceptions of social media users of digital detox apps considering personality traits Nguyen, Vinh T. Educ Inf Technol (Dordr) Article The purpose of this study was to investigate the perceptions of users about using digital detox applications and to display relationships among personality traits and technology-related variables. This study was designed using survey approach and employed Generalized Structured Component Analysis (GSCA). As such, 11 hypotheses were constructed and tested. The study recruited 263 participants who utilize detox applications to avoid social media distractions. Data were collected through Google Form and analyzed using GSCA Pro 1.1 to better understand whether the proposed conceptual model fits the data. The results of the study indicated that behavioral intention predicted usage behavior significantly; performance expectancy, effort expectancy, and social influence positively affected behavioral intention; in turn, agreeableness and extroversion positively influenced performance expectancy, and extroversion affected effort expectancy; finally, neuroticism had a statistically significant and negatively associated with effort expectancy of using social media detox apps. The significant exceptions were that facilitating conditions were not predictive of behavioral intention, openness to experience did not influence performance expectancy, and conscientiousness was not linked to effort expectancy. The proposed conceptual model explained 56.68% of the amount of variation, indicating that instructors, policy makers and software designers should consider personal factors for preparing practical intervention approaches to mitigate learning issues related to social media distraction. Springer US 2022-03-30 2022 /pmc/articles/PMC8964389/ /pubmed/35370441 http://dx.doi.org/10.1007/s10639-022-11022-7 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 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 Nguyen, Vinh T. The perceptions of social media users of digital detox apps considering personality traits |
title | The perceptions of social media users of digital detox apps considering personality traits |
title_full | The perceptions of social media users of digital detox apps considering personality traits |
title_fullStr | The perceptions of social media users of digital detox apps considering personality traits |
title_full_unstemmed | The perceptions of social media users of digital detox apps considering personality traits |
title_short | The perceptions of social media users of digital detox apps considering personality traits |
title_sort | perceptions of social media users of digital detox apps considering personality traits |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964389/ https://www.ncbi.nlm.nih.gov/pubmed/35370441 http://dx.doi.org/10.1007/s10639-022-11022-7 |
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