Predictive validity of selected cognitive tests for the assessment of pilot flight performance in night vision goggles Article Swipe
Lewkowicz Rafał
,
Stasiak Karol
,
Zielinski, Piotr
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-7979241/v1
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-7979241/v1
Objective. This study aimed to extend previous work by linking standardized cognitive test outcomes with simulated flight performance under varying visual conditions. Specifically, the purpose was to determine whether visual information processing tests can predict pilot performance during night vision goggle (NVG)-aided flight operations. Background. Flying with helmet-mounted binocular NVGs imposes significant cognitive and perceptual demands. While psychological testing is used in pilot assessment, the extent to which such tests predict operational performance under NVG conditions remains unclear. Method. Twenty-one male military helicopter pilots (mean age = 32.2 years; mean flight time = 406.7 hours) completed three flight sessions in a high-fidelity simulator under daylight, night, and NVG-aided night conditions. Each session involved maintaining predefined flight parameters while performing a concurrent visual discrimination task. Prior to flight, participants completed three standardized cognitive tests (COG s8, SIGNAL s1, TAVTMB s1) assessing attention, detection speed, and perceptual accuracy. Results. Cognitive test performance did not significantly predict pilot performance during NVG-aided flight. However, test outcomes explained up to 75% of the variance in flight performance under unaided night conditions and helped differentiate individual differences across visual environments. Conclusion. Cognitive tests alone appear insufficient to predict pilot performance with NVGs. While useful for assessing general cognitive readiness, such measures should be part of a broader assessment framework that includes operational and visual-motor evaluation for NVG flight suitability.
Related Topics
Concepts
Cognition
Flight simulator
Perception
Flight training
Effects of sleep deprivation on cognitive performance
Visual perception
Session (web analytics)
Test (biology)
Cognitive test
Psychology
Eye movement
Flight test
Visual search
Cognitive Assessment System
Elementary cognitive task
Audiology
Simulation
Vision test
Eye tracking
Work (physics)
Poison control
Metadata
- Type
- article
- Landing Page
- https://doi.org/10.21203/rs.3.rs-7979241/v1
- OA Status
- gold
- OpenAlex ID
- https://openalex.org/W7105610414
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W7105610414Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21203/rs.3.rs-7979241/v1Digital Object Identifier
- Title
-
Predictive validity of selected cognitive tests for the assessment of pilot flight performance in night vision gogglesWork title
- Type
-
articleOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-13Full publication date if available
- Authors
-
Lewkowicz Rafał, Stasiak Karol, Zielinski, PiotrList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-7979241/v1Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.21203/rs.3.rs-7979241/v1Direct OA link when available
- Concepts
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Cognition, Flight simulator, Perception, Flight training, Effects of sleep deprivation on cognitive performance, Visual perception, Session (web analytics), Test (biology), Cognitive test, Psychology, Eye movement, Flight test, Visual search, Cognitive Assessment System, Elementary cognitive task, Audiology, Simulation, Vision test, Eye tracking, Work (physics), Poison controlTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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| abstract_inverted_index.linking | 10 |
| abstract_inverted_index.predict | 35, 71, 154, 192 |
| abstract_inverted_index.purpose | 25 |
| abstract_inverted_index.remains | 77 |
| abstract_inverted_index.session | 112 |
| abstract_inverted_index.testing | 59 |
| abstract_inverted_index.unaided | 174 |
| abstract_inverted_index.varying | 20 |
| abstract_inverted_index.whether | 29 |
| abstract_inverted_index.However, | 160 |
| abstract_inverted_index.Results. | 147 |
| abstract_inverted_index.demands. | 56 |
| abstract_inverted_index.includes | 215 |
| abstract_inverted_index.involved | 113 |
| abstract_inverted_index.measures | 205 |
| abstract_inverted_index.military | 82 |
| abstract_inverted_index.outcomes | 14, 162 |
| abstract_inverted_index.previous | 7 |
| abstract_inverted_index.sessions | 99 |
| abstract_inverted_index.unclear. | 78 |
| abstract_inverted_index.variance | 169 |
| abstract_inverted_index.Cognitive | 148, 186 |
| abstract_inverted_index.NVG-aided | 108, 158 |
| abstract_inverted_index.accuracy. | 146 |
| abstract_inverted_index.assessing | 140, 200 |
| abstract_inverted_index.binocular | 49 |
| abstract_inverted_index.cognitive | 12, 53, 132, 202 |
| abstract_inverted_index.completed | 96, 129 |
| abstract_inverted_index.daylight, | 105 |
| abstract_inverted_index.detection | 142 |
| abstract_inverted_index.determine | 28 |
| abstract_inverted_index.explained | 163 |
| abstract_inverted_index.framework | 213 |
| abstract_inverted_index.simulated | 16 |
| abstract_inverted_index.simulator | 103 |
| abstract_inverted_index.Objective. | 1 |
| abstract_inverted_index.Twenty-one | 80 |
| abstract_inverted_index.assessment | 212 |
| abstract_inverted_index.attention, | 141 |
| abstract_inverted_index.concurrent | 121 |
| abstract_inverted_index.conditions | 76, 176 |
| abstract_inverted_index.evaluation | 219 |
| abstract_inverted_index.helicopter | 83 |
| abstract_inverted_index.individual | 180 |
| abstract_inverted_index.parameters | 117 |
| abstract_inverted_index.perceptual | 55, 145 |
| abstract_inverted_index.performing | 119 |
| abstract_inverted_index.predefined | 115 |
| abstract_inverted_index.processing | 32 |
| abstract_inverted_index.readiness, | 203 |
| abstract_inverted_index.(NVG)-aided | 42 |
| abstract_inverted_index.Background. | 45 |
| abstract_inverted_index.Conclusion. | 185 |
| abstract_inverted_index.assessment, | 64 |
| abstract_inverted_index.conditions. | 22, 110 |
| abstract_inverted_index.differences | 181 |
| abstract_inverted_index.information | 31 |
| abstract_inverted_index.maintaining | 114 |
| abstract_inverted_index.operational | 72, 216 |
| abstract_inverted_index.operations. | 44 |
| abstract_inverted_index.performance | 18, 37, 73, 150, 156, 172, 194 |
| abstract_inverted_index.significant | 52 |
| abstract_inverted_index.insufficient | 190 |
| abstract_inverted_index.participants | 128 |
| abstract_inverted_index.standardized | 11, 131 |
| abstract_inverted_index.suitability. | 223 |
| abstract_inverted_index.visual-motor | 218 |
| abstract_inverted_index.Specifically, | 23 |
| abstract_inverted_index.differentiate | 179 |
| abstract_inverted_index.environments. | 184 |
| abstract_inverted_index.high-fidelity | 102 |
| abstract_inverted_index.psychological | 58 |
| abstract_inverted_index.significantly | 153 |
| abstract_inverted_index.discrimination | 123 |
| abstract_inverted_index.helmet-mounted | 48 |
| abstract_inverted_index.<title>Abstract</title> | 0 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.85420364 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |