Evidence map›Paper›PMID 40477806›Full record

ArticleInternational journal on interactive design and manufacturing2023

Strategies to reduce visual attention changes while learning and training in extended reality environments.

Luis Bautista, Fernanda Maradei, Gabriel Pedraza

Abstract read
In one paragraph

Article in International journal on interactive design and manufacturing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. AR-Enabled Persistent Human-Machine Interfaces via a Scalable Soft Electrode Array.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
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.

Luis BautistaUniversidad Industrial de Santander, Bucarmanga, Colombia.ORCID 0000-0001-5852-311X
Fernanda MaradeiUniversidad Industrial de Santander, Bucarmanga, Colombia.ORCID 0000-0001-6263-586X
Gabriel PedrazaUniversidad Industrial de Santander, Bucarmanga, Colombia.ORCID 0000-0003-4706-1540

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computer-Based training (CBT) is a widely used strategy in interactive learning and skills training to provide the trainee with information while in training. Extended Reality (XR) is a set of technologies used in the fourth industrial revolution for this purpose. However, an important XR limitation is the cognitive overload in trainees due to continuous changes in attention. The effects of the changes in attention on cognitive load have been studied in environments such as printed material and desktop PC's. However, such effects are not yet fully known on XR platforms. This study's aim was to identify strategies to reduce the changes in attention in instructional/educational materials, which use extended reality to present information to trainees. The presented information can guide the use of combined strategies to reduce the cognitive overload generated by XR display platforms. Therefore, an extensive literature review was carried out. From a set of 1946 articles, 53 studies were selected. The selected studies evaluated the cognitive load in instructional materials that used XR as a visualization platform. The results showed three strategy groups: those associated with the spatial integration of information, those associated with the use of visual features and those associated with the content segmentation. Effects of this strategies in the user performance and user cognitive load are discussed.

Indexed as

AttentionAugmented realityGraphic user interfaceMixed realityVirtual reality

Identifiers

PMID40477806
PMCPMC9741709

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.