Mental Workload Measurement in Helicopter Maintenance: Comparing Virtual Reality Simulation and Real-World Conditions

IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
Lorrys Berthon, Fabien Bernard, Sylvain Fleury, Raphaël Paquin, Simon Richir
{"title":"Mental Workload Measurement in Helicopter Maintenance: Comparing Virtual Reality Simulation and Real-World Conditions","authors":"Lorrys Berthon,&nbsp;Fabien Bernard,&nbsp;Sylvain Fleury,&nbsp;Raphaël Paquin,&nbsp;Simon Richir","doi":"10.1002/hfm.70041","DOIUrl":null,"url":null,"abstract":"<p>Designing tomorrow's maintenance systems with a human-centered approach is crucial to ensure optimal safety and performance. A key prerequisite for achieving this goal is to anticipate operators' cognitive behavior early in the design cycle. This study aims to determine whether the combination of mental workload measurement tools, including subjective, behavioral, and physiological measures, can detect comparable levels of cognitive effort during helicopter maintenance tasks in both real-world and virtual reality conditions. We analyzed data from 10 participants who performed four maintenance tasks of varying complexity on a helicopter, including component removal and installation. These efforts were measured using subjective scales (NASA-TLX), performance indicators (completion time), and cardiovascular data (heart rate, heart rate variability). Our observations revealed similar completion times and higher NASA-TLX scores for complex tasks, regardless of the real and virtual environment. Regarding cardiovascular data, the time-domain heart rate variability indicators showed consistent trends across both real and virtual environments. in both real and virtual settings. This research marks a significant step forward in the multidimensional, anticipatory measurement of mental workload in maintenance within a realistic industrial context.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"36 2","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.70041","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Factors and Ergonomics in Manufacturing & Service Industries","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hfm.70041","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0

Abstract

Designing tomorrow's maintenance systems with a human-centered approach is crucial to ensure optimal safety and performance. A key prerequisite for achieving this goal is to anticipate operators' cognitive behavior early in the design cycle. This study aims to determine whether the combination of mental workload measurement tools, including subjective, behavioral, and physiological measures, can detect comparable levels of cognitive effort during helicopter maintenance tasks in both real-world and virtual reality conditions. We analyzed data from 10 participants who performed four maintenance tasks of varying complexity on a helicopter, including component removal and installation. These efforts were measured using subjective scales (NASA-TLX), performance indicators (completion time), and cardiovascular data (heart rate, heart rate variability). Our observations revealed similar completion times and higher NASA-TLX scores for complex tasks, regardless of the real and virtual environment. Regarding cardiovascular data, the time-domain heart rate variability indicators showed consistent trends across both real and virtual environments. in both real and virtual settings. This research marks a significant step forward in the multidimensional, anticipatory measurement of mental workload in maintenance within a realistic industrial context.

Abstract Image

直升机维修中的心理工作量测量:虚拟现实仿真与现实世界条件的比较
以人为本的方法设计未来的维护系统对于确保最佳的安全性和性能至关重要。实现这一目标的一个关键先决条件是在设计周期的早期预测操作员的认知行为。本研究旨在确定心理工作量测量工具的组合,包括主观、行为和生理测量,是否可以在现实世界和虚拟现实条件下检测直升机维修任务期间的认知努力水平。我们分析了10名参与者的数据,他们在一架直升机上执行了四项不同复杂程度的维护任务,包括拆卸和安装部件。这些努力使用主观量表(NASA-TLX)、性能指标(完成时间)和心血管数据(心率、心率变异性)进行测量。我们的观察显示,无论真实和虚拟环境如何,复杂任务的完成时间相似,NASA-TLX分数更高。关于心血管数据,时域心率变异性指标在真实和虚拟环境中都显示出一致的趋势。在现实和虚拟环境中。这项研究标志着在现实工业环境中对维护中的精神工作量进行多维、预期测量的重要一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
5.20
自引率
8.30%
发文量
37
审稿时长
6.0 months
期刊介绍: The purpose of Human Factors and Ergonomics in Manufacturing & Service Industries is to facilitate discovery, integration, and application of scientific knowledge about human aspects of manufacturing, and to provide a forum for worldwide dissemination of such knowledge for its application and benefit to manufacturing industries. The journal covers a broad spectrum of ergonomics and human factors issues with a focus on the design, operation and management of contemporary manufacturing systems, both in the shop floor and office environments, in the quest for manufacturing agility, i.e. enhancement and integration of human skills with hardware performance for improved market competitiveness, management of change, product and process quality, and human-system reliability. The inter- and cross-disciplinary nature of the journal allows for a wide scope of issues relevant to manufacturing system design and engineering, human resource management, social, organizational, safety, and health issues. Examples of specific subject areas of interest include: implementation of advanced manufacturing technology, human aspects of computer-aided design and engineering, work design, compensation and appraisal, selection training and education, labor-management relations, agile manufacturing and virtual companies, human factors in total quality management, prevention of work-related musculoskeletal disorders, ergonomics of workplace, equipment and tool design, ergonomics programs, guides and standards for industry, automation safety and robot systems, human skills development and knowledge enhancing technologies, reliability, and safety and worker health issues.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书