Evidence map›Paper›PMID 34489481›Full record

ArticleScientific reports2021

Quantitative assessment of pilot-endured workloads during helicopter flying emergencies: an analysis of physiological parameters during an autorotation.

José Ricardo Silva Scarpari, Mauricio Watanabe Ribeiro, Camila Sardeto Deolindo, Maria Adelia Albano Aratanha, Donizeti de Andrade, Carlos Henrique Quartucci Forster, José Márcio Pereira Figueira, Fernando Lucas Soares Corrêa, Shirley Silva Lacerda, Birajara Soares Machado and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Temporal Relation Modeling and Multimodal Adversarial Alignment Network for Pilot Workload Evaluation.IEEE journal of translational engineering in health and medicine · 2025
    Article
  3. 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

14 authors.

José Ricardo Silva Scarpari *Instituto Tecnológico de Aeronáutica, São José dos Campos, 12228-900, Brazil.
Mauricio Watanabe Ribeiro *Hospital Israelita Albert Einstein, Brain Institute, São Paulo, 01425-001, Brazil.
Camila Sardeto DeolindoHospital Israelita Albert Einstein, Brain Institute, São Paulo, 01425-001, Brazil.
Maria Adelia Albano AratanhaHospital Israelita Albert Einstein, Brain Institute, São Paulo, 01425-001, Brazil.
Donizeti de AndradeInstituto Tecnológico de Aeronáutica, São José dos Campos, 12228-900, Brazil.
Carlos Henrique Quartucci ForsterInstituto Tecnológico de Aeronáutica, São José dos Campos, 12228-900, Brazil.
José Márcio Pereira FigueiraInstituto de Pesquisas e Ensaio em Voo (IPEV), São José dos Campos, 12228-900, Brazil.
Fernando Lucas Soares CorrêaInstituto de Pesquisas e Ensaio em Voo (IPEV), São José dos Campos, 12228-900, Brazil.
Shirley Silva LacerdaHospital Israelita Albert Einstein, Brain Institute, São Paulo, 01425-001, Brazil.
Birajara Soares MachadoHospital Israelita Albert Einstein, Brain Institute, São Paulo, 01425-001, Brazil.
Edson Amaro JúniorHospital Israelita Albert Einstein, Brain Institute, São Paulo, 01425-001, Brazil.
João Ricardo SatoHospital Israelita Albert Einstein, Brain Institute, São Paulo, 01425-001, Brazil.
Elisa Harumi KozasaHospital Israelita Albert Einstein, Brain Institute, São Paulo, 01425-001, Brazil. ehkozasa@gmail.com.
Roberto Gil Annes da SilvaInstituto Tecnológico de Aeronáutica, São José dos Campos, 12228-900, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The procedures to be performed after sudden engine failure of a single-engine helicopter impose high workload on pilots. The maneuver to regain aircraft control and safe landing is called autorotation. The safety limits to conduct this maneuver are based on the aircraft height versus speed diagram, which is also known as "Dead Man's Curve". Flight-test pilots often use subjective methods to assess the difficulty to conduct maneuvers in the vicinity of this curve. We carried out an extensive flight test campaign to verify the feasibility of establishing quantitative physiological parameters to better assess the workload endured by pilots undergoing those piloting conditions. Eleven pilots were fully instrumented with sensors and had their physiological reactions collected during autorotation maneuvers. Our analyses suggested that physiological measurements (heart rate and electrodermal activity) can be successfully recorded and useful to capture the most effort-demanding effects during the maneuvers. Additionally, the helicopter's flight controls displacements were also recorded, as well as the pilots' subjective responses evaluated by the Handling Qualities Rate scale. Our results revealed that the degree of cognitive workload was associated with the helicopter's flight profile concerning the Height-Speed diagram and that the strain intensity showed a correlation with measurable physiological responses. Recording flight controls displacement and quantifying the pilot's subjective responses show themselves as natural effective candidates to evaluate the intensity of cognitive workload in such maneuvers.

Identifiers

PMID34489481
PMCPMC8421440

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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.