Evidence map›Paper›PMID 35408315›Full record

ArticleSensors (Basel, Switzerland)2022

Analysis of Marine-Pilot Biometric Data Recordings during Port-Approach Using a Full-Mission Simulator.

Dejan Žagar, Matija Svetina, Tanja Brcko, Marko Perkovič, Franc Dimc, Andrej Košir

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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
1.8field-weighted citation impact, top 16% 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, 8 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

6 authors at 1 institution in 1 country.

Dejan ŽagarFaculty of Maritime Studies and Transport, University of Ljubljana, 6320 Portorož, Slovenia.ORCID 0000-0002-4343-8286
Matija SvetinaFaculty of Arts, University of Ljubljana, 1000 Ljubljana, Slovenia.
Tanja BrckoFaculty of Maritime Studies and Transport, University of Ljubljana, 6320 Portorož, Slovenia.ORCID 0000-0002-1451-2539
Marko PerkovičFaculty of Maritime Studies and Transport, University of Ljubljana, 6320 Portorož, Slovenia.ORCID 0000-0002-7493-6587
Franc DimcFaculty of Maritime Studies and Transport, University of Ljubljana, 6320 Portorož, Slovenia.ORCID 0000-0003-2580-7786
Andrej KoširFaculty of Electrical Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia.
University of Ljubljana · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study is to analyse data from the marine pilots' bio-sensor readings to determine how experience affects their biometrical response during the port approach. The experiences play a significant role in the participant's decision-making process and correlate with the repetitions. Through the repetitions of the experimental task, the participants gain experience, which correlates with the biometrical response, e.g., heart rate, electrodermal activity, etc. After exposing the two experience-distinct groups of participants to the same simulated port-approaching task, their collected biometric data is analysed and discussed. The results show that biometrical readings of the less experienced participants typically vary compared to that of the experienced participants, who take the simulated task more seriously. The study also yields insight into the workload process, involving disturbing factors during the task.

Indexed as

Aerospace MedicineTask Performance and AnalysisBiometryHeart RateHumansWorkloadbiometrical measurementblood-volume pulsefull mission nautical simulatorheart ratemarine pilots

Identifiers

PMID35408315
PMCPMC9003218
OpenAlexW4221087456

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.