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Why Do Drivers Use Mobile Phones While Driving? The Contribution of Compensatory Beliefs
The current study is the first to investigate the contribution of compensatory beliefs (i.e., the belief that the negative effects of an unsafe behavior can be "neutralized" by engaging in another safe behavior; e.g., "I can use a mobile phone now because I will slow down ") on d...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975505/ https://www.ncbi.nlm.nih.gov/pubmed/27494524 http://dx.doi.org/10.1371/journal.pone.0160288 |
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author | Zhou, Ronggang Yu, Mengli Wang, Xinyi |
author_facet | Zhou, Ronggang Yu, Mengli Wang, Xinyi |
author_sort | Zhou, Ronggang |
collection | PubMed |
description | The current study is the first to investigate the contribution of compensatory beliefs (i.e., the belief that the negative effects of an unsafe behavior can be "neutralized" by engaging in another safe behavior; e.g., "I can use a mobile phone now because I will slow down ") on drivers’ mobile phone use while driving. The effects of drivers’ personal characteristics on compensatory beliefs, mobile phone use and self-regulatory behaviors were also examined. A series of questions were administered to drivers, which included (1) personal measures, (2) scales that measured compensatory beliefs generally in substance use and with regard to driving safety, and (3) questions to measure drivers’ previous primary mobile phone usage and corresponding self-regulatory actions. Overall, drivers reported a low likelihood of compensatory beliefs, prior mobile phone use, and a strong frequency of self-regulatory behaviors. Respondents who had a higher tendency toward compensatory beliefs reported more incidents or crash involvement caused by making or answering calls and sending or reading messages. The findings provide strong support for the contribution of compensatory beliefs in predicting mobile phone usage in the context of driving. Compensatory beliefs can explain 41% and 43% of the variance in the active activities of making calls and texting/sending messages compared with 18% and 31% of the variance in the passive activities of answering calls and reading messages. Among the regression models for predicting self-regulatory behaviors at the tactical or operational level, compensatory beliefs emerge as significant predictors only in predicting shorter conversations while on a call. The findings and limitations of the current study are discussed. |
format | Online Article Text |
id | pubmed-4975505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49755052016-08-25 Why Do Drivers Use Mobile Phones While Driving? The Contribution of Compensatory Beliefs Zhou, Ronggang Yu, Mengli Wang, Xinyi PLoS One Research Article The current study is the first to investigate the contribution of compensatory beliefs (i.e., the belief that the negative effects of an unsafe behavior can be "neutralized" by engaging in another safe behavior; e.g., "I can use a mobile phone now because I will slow down ") on drivers’ mobile phone use while driving. The effects of drivers’ personal characteristics on compensatory beliefs, mobile phone use and self-regulatory behaviors were also examined. A series of questions were administered to drivers, which included (1) personal measures, (2) scales that measured compensatory beliefs generally in substance use and with regard to driving safety, and (3) questions to measure drivers’ previous primary mobile phone usage and corresponding self-regulatory actions. Overall, drivers reported a low likelihood of compensatory beliefs, prior mobile phone use, and a strong frequency of self-regulatory behaviors. Respondents who had a higher tendency toward compensatory beliefs reported more incidents or crash involvement caused by making or answering calls and sending or reading messages. The findings provide strong support for the contribution of compensatory beliefs in predicting mobile phone usage in the context of driving. Compensatory beliefs can explain 41% and 43% of the variance in the active activities of making calls and texting/sending messages compared with 18% and 31% of the variance in the passive activities of answering calls and reading messages. Among the regression models for predicting self-regulatory behaviors at the tactical or operational level, compensatory beliefs emerge as significant predictors only in predicting shorter conversations while on a call. The findings and limitations of the current study are discussed. Public Library of Science 2016-08-05 /pmc/articles/PMC4975505/ /pubmed/27494524 http://dx.doi.org/10.1371/journal.pone.0160288 Text en © 2016 Zhou et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zhou, Ronggang Yu, Mengli Wang, Xinyi Why Do Drivers Use Mobile Phones While Driving? The Contribution of Compensatory Beliefs |
title | Why Do Drivers Use Mobile Phones While Driving? The Contribution of Compensatory Beliefs |
title_full | Why Do Drivers Use Mobile Phones While Driving? The Contribution of Compensatory Beliefs |
title_fullStr | Why Do Drivers Use Mobile Phones While Driving? The Contribution of Compensatory Beliefs |
title_full_unstemmed | Why Do Drivers Use Mobile Phones While Driving? The Contribution of Compensatory Beliefs |
title_short | Why Do Drivers Use Mobile Phones While Driving? The Contribution of Compensatory Beliefs |
title_sort | why do drivers use mobile phones while driving? the contribution of compensatory beliefs |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975505/ https://www.ncbi.nlm.nih.gov/pubmed/27494524 http://dx.doi.org/10.1371/journal.pone.0160288 |
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