Evidence map›Paper›PMID 31392594›Full record

ArticleAttention, perception & psychophysics2020

Media multitasking, mind-wandering, and distractibility: A large-scale study.

Wisnu Wiradhany, Marieke K van Vugt, Mark R Nieuwenstein

Abstract read
In one paragraph

Article in Attention, perception & psychophysics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Wisnu WiradhanyDepartment of Experimental Psychology, University of Groningen, Grote Kruistraat 2/1, 9712 TS, Groningen, the Netherlands. w.wiradhany@rug.nl.ORCID http://orcid.org/0000-0001-8707-3146
Marieke K van VugtBernoulli Institute of Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Groningen, the Netherlands.
Mark R NieuwensteinDepartment of Experimental Psychology, University of Groningen, Grote Kruistraat 2/1, 9712 TS, Groningen, the Netherlands.

Funding

Indonesia Endowment Fund for Education (LPDP) 20141122022196
6 · The paper itself

Abstract

Previous studies suggest that frequent media multitasking - the simultaneous use of different media at the same time - may be associated with increased susceptibility to internal and external sources of distraction. At the same time, other studies found no evidence for such associations. In the current study, we report the results of a large-scale study (N=261) in which we measured media multitasking with a short media-use questionnaire and measured distraction with a change-detection task that included different numbers of distractors. To determine whether internally generated distraction affected performance, we deployed experience-sampling probes during the change-detection task. The results showed that participants with higher media multitasking scores did not perform worse as distractor set size increased, they did not perform worse in general, and their responses on the experience-sampling probes made clear that they also did not experience more lapses of attention during the task. Critically, these results were robust across different methods of analysis (i.e., Linear Mixed Modeling, Bayes factors, and extreme-groups comparison). At the same time, our use of the short version of the media-use questionnaire might limit the generalizability of our findings. In light of our results, we suggest that future studies should ensure an adequate level of statistical power and implement a more precise measure for media multitasking.

Indexed as

Communications MediaAttentionBayes TheoremHumansChange detectionCognitive controlMedia multitaskingMind-wanderingWorking memory

Identifiers

PMID31392594
PMCPMC7303060

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.