Evidence map›Paper›PMID 31018592›Full record

ArticleBehavioral sciences (Basel, Switzerland)2019

Attention Network in Interpreters: The Role of Training and Experience.

Soudabeh Nour, Esli Struys, Hélène Stengers

Open access · goldAbstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 12% of its field
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, 10 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Soudabeh NourBrussels Institute for Applied Linguistics, Vrije Universiteit Brussel, 1050 Brussel, Belgium. Soudabeh.nour@vub.be.
Esli StruysBrussels Institute for Applied Linguistics, Vrije Universiteit Brussel, 1050 Brussel, Belgium. Esli.struys@vub.be.
Hélène StengersBrussels Institute for Applied Linguistics, Vrije Universiteit Brussel, 1050 Brussel, Belgium. Helene.stengers@vub.be.
Vrije Universiteit Brussel · BE

Funding

Vrije Universiteit Brussel ACA1
6 · The paper itself

Abstract

The purpose of this study is to explore the relationship found between interpreting training and experience and the attentional network components: Alerting, orienting, and executive attention using the Attention Network Test (ANT). In the current study we tested three groups of interpreting students, translation students, and professional interpreters as specific forms of multilingual expertise. The student groups were tested longitudinally at the beginning and the end of their Master's programme. The professional interpreters were tested only one point in time. The results showed different attention network dynamics for the interpreting students compared to the translation students regarding alertness and executive network. First, the interpreting students showed a higher conflict effect when the alert cue was presented as well as a reduced accuracy compared to translation students. Second, the interpreting training had less effect on alerting than the translation training. Finally, two student groups showed a faster response time in conflict effect than the professional interpreters. In contrast, the professional interpreters scored a higher accuracy than two-student groups specifically in an incongruent alert condition, which confirms that they used a different responding strategy.

Indexed as

alertingattention networkbilingualismexecutive functioninginhibitioninterpretingorientingtranslation

Identifiers

PMID31018592
PMCPMC6523145
OpenAlexW2940767858

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.