Evidence map›Paper›PMID 42339442›Full record

ArticleFrontiers in cognition2024

Individual differences in visuo-spatial working memory capacity and prior knowledge during interrupted reading.

Francesca Zermiani, Prajit Dhar, Florian Strohm, Sibylle Baumbach, Andreas Bulling, Maria Wirzberger

Abstract read
In one paragraph

Article in Frontiers in cognition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Francesca ZermianiUniversity of Stuttgart, Institute of Educational Science, Department of Teaching and Learning with Intelligent Systems, Stuttgart, Germany.
Prajit DharDepartment of Psychology, University of Potsdam, Potsdam, Germany.
Florian StrohmUniversity of Stuttgart, Institute for Visualization and Interactive Systems, Department of Computer Science, Stuttgart, Germany.
Sibylle BaumbachUniversity of Stuttgart, Institute for Literary Studies, Department of English Literatures and Cultures, Stuttgart, Germany.
Andreas BullingUniversity of Stuttgart, Institute for Visualization and Interactive Systems, Department of Computer Science, Stuttgart, Germany.
Maria WirzbergerUniversity of Stuttgart, Institute of Educational Science, Department of Teaching and Learning with Intelligent Systems, Stuttgart, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interruptions are often pervasive and require attentional shifts from the primary task. Limited data are available on the factors influencing individuals' efficiency in resuming from interruptions during digital reading. The reported investigation-conducted using the InteRead dataset-examined whether individual differences in visuo-spatial working memory capacity (vsWMC) and prior knowledge could influence resumption lag times during interrupted reading. Participants' vsWMC capacity was assessed using the symmetry span (SSPAN) task, while a pre-test questionnaire targeted their background knowledge about the text. While reading an extract from a Sherlock Holmes story, they were interrupted six times and asked to answer an opinion question. Our analyses revealed that the interaction between vsWMC and prior knowledge significantly predicted the time needed to resume reading following an interruption. The results from our analyses are discussed in relation to theoretical frameworks of task resumption and current research in the field.

Indexed as

individual differencesinterruptionprior knowledgereadingresumptionvisuo-spatial working memory

Identifiers

PMID42339442
PMCPMC13281217

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.