Evidence map›Paper›PMID 36544846›Full record

ArticleHeliyon2022

Evaluation of expert skills in refinery patrol inspection: visual attention and head positioning behavior.

Ryota Takamido, Satoya Kurihara, Yasushi Umeda, Hajime Asama, Seiji Kasahara, Yuichi Tanaka, Seigo Fukumoto, Toshiya Kato, Masahiro Korenaga, Misaki Hoshi and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

11 authors at 2 institutions in 1 country.

Ryota TakamidoResearch into Artifacts, Center for Engineering (RACE), School of Engineering, The University of Tokyo, Japan.
Satoya KuriharaDepartment of Precision Engineering, Faculty of Engineering, The University of Tokyo, Japan.
Yasushi UmedaResearch into Artifacts, Center for Engineering (RACE), School of Engineering, The University of Tokyo, Japan.
Hajime AsamaDepartment of Precision Engineering, School of Engineering, The University of Tokyo, Japan.
Seiji KasaharaEngineering & Capital Planning Department, ENEOS Corporation, Japan.
Yuichi TanakaIT Planning & Development Department, ENEOS Corporation, Japan.
Seigo FukumotoEngineering & Capital Planning Department, ENEOS Corporation, Japan.
Toshiya KatoEngineering & Capital Planning Department, ENEOS Corporation, Japan.
Masahiro KorenagaEngineering & Capital Planning Department, ENEOS Corporation, Japan.
Misaki HoshiEngineering & Capital Planning Department, ENEOS Corporation, Japan.
Jun OtaResearch into Artifacts, Center for Engineering (RACE), School of Engineering, The University of Tokyo, Japan.
Eneos (Japan) · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to clarify expert skills in refinery patrol inspection using data collected through a virtual reality experimental system. As body positioning and postural changes are relevant factors during refinery patrol inspection tasks, we measured and analyzed both visual attention and head positioning behavior among experts and "knowledgeable novices" who were engaged in the engineering of the refinery but had less inspection experience. The participants performed a simulated inspection task, and the results showed that 1) expert inspectors could find more defects compared to knowledgeable novices, 2) visual attention behavior was similar between knowledgeable novices and experts, and 3) experts tended to position their heads at various heights and further from the inspection target to obtain visual information more effectively from the target compared to knowledgeable novices. This study presented the differences in head positioning behavior between expert and novice inspectors for the first time. These results suggest that to evaluate the skills used in inspecting relatively larger targets, both visual attention and head positioning behavior of the inspectors must be measured.

Indexed as

Eye trackingVirtual realityVisual inspection

Identifiers

PMID36544846
PMCPMC9761707
OpenAlexW4310790705

What Socratic 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 Socratic graph.