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Predicting attention shifting abilities from self-reported media multitasking
Media multitasking is an increasingly prominent behavior in affluent societies. However, it still needs to be established if simultaneous use of several modes of media content has an influence on higher cognitive functions, such as divided attention. In this study, attention shifting was the primary...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710456/ https://www.ncbi.nlm.nih.gov/pubmed/31030392 http://dx.doi.org/10.3758/s13423-018-01566-6 |
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author | Elbe, Pia Sörman, Daniel Eriksson Mellqvist, Elin Brändström, Julia Ljungberg, Jessica K. |
author_facet | Elbe, Pia Sörman, Daniel Eriksson Mellqvist, Elin Brändström, Julia Ljungberg, Jessica K. |
author_sort | Elbe, Pia |
collection | PubMed |
description | Media multitasking is an increasingly prominent behavior in affluent societies. However, it still needs to be established if simultaneous use of several modes of media content has an influence on higher cognitive functions, such as divided attention. In this study, attention shifting was the primary focus, since switching between tasks is assumed to be necessary for media multitasking. Two tasks, the number–letter and local–global task, were used as measures of switching ability. The cognitive reflections task was included to control for possible effects of intelligence. Results from linear regression analyses showed that higher levels of media multitasking was related to lower switching costs in the two attention-shifting tasks. These findings replicate previous findings suggesting that heavy media multitaskers perform better on select measures of task switching. We suggest two possible explanations for our results: media multitasking may practice skills needed for switching between tasks, or high media multitaskers are choosing this style of technology use due to a dominating personality trait in this group. |
format | Online Article Text |
id | pubmed-6710456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-67104562019-09-13 Predicting attention shifting abilities from self-reported media multitasking Elbe, Pia Sörman, Daniel Eriksson Mellqvist, Elin Brändström, Julia Ljungberg, Jessica K. Psychon Bull Rev Article Media multitasking is an increasingly prominent behavior in affluent societies. However, it still needs to be established if simultaneous use of several modes of media content has an influence on higher cognitive functions, such as divided attention. In this study, attention shifting was the primary focus, since switching between tasks is assumed to be necessary for media multitasking. Two tasks, the number–letter and local–global task, were used as measures of switching ability. The cognitive reflections task was included to control for possible effects of intelligence. Results from linear regression analyses showed that higher levels of media multitasking was related to lower switching costs in the two attention-shifting tasks. These findings replicate previous findings suggesting that heavy media multitaskers perform better on select measures of task switching. We suggest two possible explanations for our results: media multitasking may practice skills needed for switching between tasks, or high media multitaskers are choosing this style of technology use due to a dominating personality trait in this group. Springer US 2019-04-27 2019 /pmc/articles/PMC6710456/ /pubmed/31030392 http://dx.doi.org/10.3758/s13423-018-01566-6 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Elbe, Pia Sörman, Daniel Eriksson Mellqvist, Elin Brändström, Julia Ljungberg, Jessica K. Predicting attention shifting abilities from self-reported media multitasking |
title | Predicting attention shifting abilities from self-reported media multitasking |
title_full | Predicting attention shifting abilities from self-reported media multitasking |
title_fullStr | Predicting attention shifting abilities from self-reported media multitasking |
title_full_unstemmed | Predicting attention shifting abilities from self-reported media multitasking |
title_short | Predicting attention shifting abilities from self-reported media multitasking |
title_sort | predicting attention shifting abilities from self-reported media multitasking |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710456/ https://www.ncbi.nlm.nih.gov/pubmed/31030392 http://dx.doi.org/10.3758/s13423-018-01566-6 |
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