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Biodynamic responses of the human hand-arm system under nail gun shock vibration and differences between males and females 钉枪冲击下人体手臂系统的生物动力学响应及男女差异
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-05-01 Epub Date: 2026-02-14 DOI: 10.1016/j.ergon.2026.103913
Maxime Vincent , Akira Engelbrecht , Marc-André Gaudreau , Mathias Legrand , Thomas Dupont , Pierre Marcotte
Occupational exposure to vibration from hand tools poses significant health risks, potentially leading to chronic disorders affecting nerves, muscles, and joints in the Hand-Arm System (HAS). Despite extensive research, the biodynamic response of the HAS to real-world shock vibrations remains insufficiently characterized, limiting effective risk assessment and prevention strategies. This study quantifies the biodynamic response of male and female HAS during standardized nail gun operation. Thirty participants (15 males, 15 females) performed standardized nail gun tasks while vibration transmissibility was measured between the tool handle and the wrist, forearm, upper arm, and shoulder using triaxial accelerometers. Results show a consistent decrease in peak transmissibility frequency from the wrist to the shoulder, reflecting a shift in biodynamic response along the HAS. Modal analysis identified distinct natural frequencies across the HAS, with statistical analyses showing significant sex-related differences, particularly in lower-frequency modes. These differences remained significant after adjusting for age, hand length, palm width, and Body Mass Index, confirming the sex-specific biodynamic differences. The importance of a sufficiently large and balanced sample for reliably detecting sex-related effects is demonstrated. The findings highlight the importance of evaluating vibration exposure under realistic conditions, as conventional shaker excitations may not fully replicate the dynamics of shock vibrations. Notably, transmissibility increased at high frequencies and decreased below 10 Hz, likely due to differences in experimental conditions. Furthermore, the observed sex-related differences support the need to incorporate sex-specific considerations into occupational health guidelines, ergonomic tool design, and exposure standards to reduce vibration-induced health risks and improve worker safety.
职业暴露于手动工具的振动会带来重大的健康风险,可能导致影响手臂系统(HAS)神经、肌肉和关节的慢性疾病。尽管进行了广泛的研究,但HAS对现实世界冲击振动的生物动力学反应仍然没有充分表征,这限制了有效的风险评估和预防策略。本研究量化了男性和女性HAS在标准化钉枪操作过程中的生物动力学反应。30名参与者(15名男性,15名女性)执行标准化的钉枪任务,同时使用三轴加速度计测量工具手柄与手腕、前臂、上臂和肩膀之间的振动传递率。结果显示,从手腕到肩膀的峰值传导频率持续下降,反映了沿着HAS的生物动力学反应的变化。模态分析确定了整个HAS不同的固有频率,统计分析显示了显著的性别相关差异,特别是在低频模态中。在调整了年龄、手长、手掌宽度和身体质量指数后,这些差异仍然显著,证实了性别特异性生物动力学差异。一个足够大的和平衡的样本的重要性,以可靠地检测性别相关的影响被证明。研究结果强调了在现实条件下评估振动暴露的重要性,因为传统的激振器激励可能无法完全复制冲击振动的动力学。值得注意的是,传输率在高频率下增加,在10 Hz以下下降,可能是由于实验条件的差异。此外,观察到的与性别有关的差异支持有必要将针对性别的考虑纳入职业健康准则、人体工程学工具设计和接触标准,以减少振动引起的健康风险并改善工人安全。
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引用次数: 0
The effects of icon salience, familiarity and concreteness on visual load and behavioral performance 图标显著性、熟悉性和具象性对视觉负荷和行为表现的影响
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-05-01 Epub Date: 2026-02-12 DOI: 10.1016/j.ergon.2026.103912
Minhui Yuan, Ruifeng Yu
This study investigated the effects of icon external features (icon salience) and internal features (icon familiarity and concreteness) on visual load and behavioral performance across visual search and semantic recognition tasks. Twenty-seven college students participated in a 2 (icon salience: high, low) × 2 (icon concreteness: concrete, abstract) × 2 (icon familiarity: familiar, unfamiliar) within-subject experiment. In the search task, only icon salience significantly affected reaction time and visual load, while familiarity and concreteness showed no significant effects. In the semantic recognition task, icon salience significantly reduced visual load. Icon familiarity improved accuracy and decreased reaction time. Concreteness affected reaction time and visual load, with concrete icons being recognized more slowly but resulting in lower visual load than abstract icons. Significant interactions among internal features were observed, with familiarity exerting stronger benefits on reaction time and visual load for concrete than for abstract icons. Moreover, icon salience moderated the effects of familiarity and concreteness on visual load, enhancing the load-reducing effect of familiarity and reducing the visual load gap between concrete and abstract icons. These findings provide a theoretical foundation for considering the interaction effect of icon internal and external features in icon design for VDT (Visual Display Terminal) interface.
本研究探讨了图标外部特征(图标显著性)和内部特征(图标熟悉度和具体性)对视觉搜索和语义识别任务中视觉负荷和行为表现的影响。27名大学生参与了2(图标显著性:高、低)× 2(图标具体性:具体、抽象)× 2(图标熟悉度:熟悉、不熟悉)被试实验。在搜索任务中,只有图标显著性对反应时间和视觉负荷有显著影响,而熟悉度和具体性对反应时间和视觉负荷无显著影响。在语义识别任务中,图标显著性显著降低了视觉负荷。熟悉图标提高了准确性,减少了反应时间。具体性影响反应时间和视觉负荷,具体的图标被识别得更慢,但造成的视觉负荷比抽象图标低。观察到内部特征之间的显著相互作用,熟悉度对具体图标的反应时间和视觉负荷的影响大于抽象图标。此外,图标显著性调节了熟悉度和具象性对视觉负荷的影响,增强了熟悉度的减重效果,缩小了具象与抽象图标之间的视觉负荷差距。这些研究结果为在VDT (Visual Display Terminal)界面的图标设计中考虑图标内外特征的交互作用提供了理论基础。
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引用次数: 0
Reassessing nasal geometry: A PCA-based comparison of 2D dimensions and 3D point net 重新评估鼻腔几何形状:基于pca的二维尺寸和三维点网的比较
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-05-01 Epub Date: 2026-02-11 DOI: 10.1016/j.ergon.2026.103895
Jingjing Wang, Steve Summerskill, Mazher Iqbal Mohammed
Poor-fitting Personal Protective Equipment (PPE) around the nose and eyes remains a persistent issue, due to the limited understanding of facial geometry diversity. This study aims to evaluate the representativeness and reliability of 2D and 3D nasal data using the Principal Component Analysis (PCA) and two-stage clustering for nose classification. A custom algorithm is developed to automate the nasal measurement from 3D facial scan data. The 3D nose point net achieved an average accuracy of 60.26 % ± 12.77 % across 8 clusters, outperforming the traditional nasal dimensions method (55.40 % ± 18.07 % across 15 clusters). These results demonstrate the superior stability and precision of the 3D approach in capturing nasal variability. This study introduces a universal classification process and key variables for nose shape analysis, offering a more holistic understanding of nasal morphology. This framework supports improved anthropometric design and has broader implications for PPE development and other facially fitted products.
由于对面部几何形状多样性的了解有限,鼻子和眼睛周围的个人防护装备(PPE)不合适仍然是一个持续存在的问题。本研究旨在利用主成分分析(PCA)和两阶段聚类方法对二维和三维鼻部数据进行分类,评估其代表性和可靠性。开发了一种自定义算法,可根据3D面部扫描数据自动进行鼻测量。三维鼻点网在8个聚类中的平均准确率为60.26%±12.77%,优于传统的鼻腔尺寸法(15个聚类中的55.40%±18.07%)。这些结果证明了3D方法在捕捉鼻腔变异性方面的优越稳定性和精度。本研究引入了一个通用的分类过程和鼻形分析的关键变量,提供了更全面的了解鼻形态。该框架支持改进人体测量设计,并对PPE开发和其他贴面产品具有更广泛的影响。
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引用次数: 0
Safety culture and climate in the education sector and its relationship with health from a gender perspective 从性别角度看教育部门的安全、文化和气候及其与健康的关系
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-05-01 Epub Date: 2026-02-13 DOI: 10.1016/j.ergon.2026.103900
Pamela Astudillo Cornejo , Carlos Ibarra Villanueva , Ricardo Jorquera Gutiérrez
This study examines the relationship between safety climate, safety culture, and occupational health outcomes among workers in the Chilean education sector. Although psychosocial risks in schools have received growing attention, the links between preventive culture and health symptoms remain underexplored. A mixed-methods design was implemented in 16 educational institutions. A safety climate questionnaire was completed by 363 participants (278 women and 85 men), and 34 semi-structured interviews were conducted with school personnel and occupational health professionals. Quantitative analyses showed that lower safety climate scores were significantly associated with a higher prevalence of self-reported musculoskeletal pain and psychological distress. These associations were more pronounced among women, reflecting the gendered dynamics of the sector. Qualitative findings indicated a predominantly reactive prevention culture, in which risks are often normalized or overlooked, particularly in relation to emotional demands, organizational tensions, and work overload. Gender emerged as a structuring factor in how risks are perceived and managed, influencing access to support, recognition, and protective measures. The study concludes that occupational health strategies in education require a more integrated approach that combines ergonomic and psychosocial perspectives and incorporates a gender lens. Such an approach can help address structural inequalities in exposure to risk and foster a more inclusive and effective safety culture in schools. These findings contribute to a broader understanding of occupational health in service sectors and highlight the value of mixed methods for capturing the complex configurations of safety and health in feminized workplaces.
本研究探讨了智利教育部门工人的安全气候、安全文化和职业健康结果之间的关系。虽然学校的社会心理风险受到越来越多的关注,但预防性文化与健康症状之间的联系仍未得到充分探讨。在16所教育机构中实施了混合方法设计。363名参与者(278名女性和85名男性)完成了一份安全气候问卷,并与学校人员和职业卫生专业人员进行了34次半结构化访谈。定量分析表明,较低的安全气候得分与较高的自我报告的肌肉骨骼疼痛和心理困扰的患病率显著相关。这些联系在妇女中更为明显,反映了该部门的性别动态。定性研究结果表明,主要是一种反应性预防文化,在这种文化中,风险经常被正常化或被忽视,特别是与情绪需求、组织紧张和工作过载有关的风险。性别已成为认识和管理风险的一个结构性因素,影响到获得支持、认可和保护措施的机会。该研究的结论是,教育中的职业健康战略需要采取更加综合的办法,将人体工程学和社会心理观点结合起来,并纳入性别观点。这种方法有助于解决风险暴露方面的结构性不平等问题,并在学校培养更具包容性和更有效的安全文化。这些发现有助于更广泛地了解服务部门的职业健康,并突出了在女性化的工作场所中采用混合方法了解安全和健康的复杂情况的价值。
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引用次数: 0
Integrating electroencephalogram with machine learning modeling to classify hazard perception for safety sign designs 将脑电图与机器学习模型相结合,对安全标志设计中的危险感知进行分类
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-05-01 Epub Date: 2026-02-06 DOI: 10.1016/j.ergon.2026.103902
Xiaoxu Bai , Linfeng Hu , Wenhao Mao , Qingguo Ma
Safety signs are crucial for accident prevention, yet their effectiveness hinges on individuals’ accurate hazard perception. While electroencephalogram (EEG) studies have described the neuropsychological mechanisms underlying safety signs processing, they have been limited to descriptive associations and cannot quantitatively predict specific level of hazard perception from complex, high-dimensional EEG data, nor quantify the relative contribution of concurrent cognitive processes reflected by different EEG indicators. To address this gap, this study developed an interpretable machine learning framework to classify hazard perception levels based on EEG signals for safety signs. To better approximate the real-world safety signs processing, we employed a temporally dissociated paradigm: EEG was recorded during implicit viewing of safety signs, and explicit subjective hazard ratings were subsequently collected as ground-truth labels. From the pre-processed EEG, 9 time-domain and 14 frequency-domain features were extracted and tested across five classifiers (Logistic Regression, Naive Bayes, Support Vector Machine, Random Forest, and Back Propagation Neural Network). The Random Forest model integrating both feature types achieved the highest accuracy (83.5%) in predicting three hazard levels (low, medium, high). Feature importance analysis further identified the occipital beta band and the parieto-occipital N100 component as the most contributive features, highlighting the roles of early attentional engagement and emotional valence evaluation in hazard perception. By advancing from descriptive mechanism to quantitative, predictive classification, this study establishes a neuro-cognitive framework for decoding hazard perception for abstract, symbolic warning. It also offers a practical, brain-based assessment tool to guide the design and evaluation of more effective safety signs.
安全标志对事故预防至关重要,但其有效性取决于个人对危险的准确认知。虽然脑电图(EEG)研究描述了安全信号处理的神经心理学机制,但它们仅限于描述性关联,不能定量预测复杂的高维脑电图数据对危险感知的具体水平,也不能量化不同脑电图指标反映的并发认知过程的相对贡献。为了解决这一差距,本研究开发了一个可解释的机器学习框架,根据脑电图信号对安全标志的危险感知水平进行分类。为了更好地接近现实世界的安全标志处理,我们采用了一种时间分离的范式:在隐式观看安全标志时记录脑电图,随后收集明确的主观危险等级作为基础事实标签。从预处理的脑电图中提取9个时域特征和14个频域特征,并通过5种分类器(逻辑回归、朴素贝叶斯、支持向量机、随机森林和反向传播神经网络)进行测试。结合两种特征类型的随机森林模型在预测低、中、高三个危险级别(低、中、高)方面达到了最高的准确率(83.5%)。特征重要性分析进一步发现枕部β带和顶枕部N100分量是最重要的特征,突出了早期注意投入和情绪效价评价在危害感知中的作用。通过从描述机制到定量、预测分类,本研究建立了一个解码抽象、象征性警告的危险感知的神经认知框架。它还提供了一个实用的、基于大脑的评估工具来指导设计和评估更有效的安全标志。
{"title":"Integrating electroencephalogram with machine learning modeling to classify hazard perception for safety sign designs","authors":"Xiaoxu Bai ,&nbsp;Linfeng Hu ,&nbsp;Wenhao Mao ,&nbsp;Qingguo Ma","doi":"10.1016/j.ergon.2026.103902","DOIUrl":"10.1016/j.ergon.2026.103902","url":null,"abstract":"<div><div>Safety signs are crucial for accident prevention, yet their effectiveness hinges on individuals’ accurate hazard perception. While electroencephalogram (EEG) studies have described the neuropsychological mechanisms underlying safety signs processing, they have been limited to descriptive associations and cannot quantitatively predict specific level of hazard perception from complex, high-dimensional EEG data, nor quantify the relative contribution of concurrent cognitive processes reflected by different EEG indicators. To address this gap, this study developed an interpretable machine learning framework to classify hazard perception levels based on EEG signals for safety signs. To better approximate the real-world safety signs processing, we employed a temporally dissociated paradigm: EEG was recorded during implicit viewing of safety signs, and explicit subjective hazard ratings were subsequently collected as ground-truth labels. From the pre-processed EEG, 9 time-domain and 14 frequency-domain features were extracted and tested across five classifiers (Logistic Regression, Naive Bayes, Support Vector Machine, Random Forest, and Back Propagation Neural Network). The Random Forest model integrating both feature types achieved the highest accuracy (83.5%) in predicting three hazard levels (low, medium, high). Feature importance analysis further identified the occipital beta band and the parieto-occipital N100 component as the most contributive features, highlighting the roles of early attentional engagement and emotional valence evaluation in hazard perception. By advancing from descriptive mechanism to quantitative, predictive classification, this study establishes a neuro-cognitive framework for decoding hazard perception for abstract, symbolic warning. It also offers a practical, brain-based assessment tool to guide the design and evaluation of more effective safety signs.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"113 ","pages":"Article 103902"},"PeriodicalIF":3.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Experimental study on the impact of noise exposure on miners’ attention 噪声暴露对矿工注意力影响的实验研究
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-05-01 Epub Date: 2026-02-10 DOI: 10.1016/j.ergon.2026.103903
Yajuan Wang , Shuicheng Tian , Hongxia Li , Tao Ma , Junrui Mao , Lei Ma
This study investigates the relationship between noise intensity and miners' attention levels to mitigate coal mine accidents caused by attention-related human factors. Using mine simulation experiments, this study examines how varying levels of noise exposure affect miners' behavioral-perceptual capabilities. Experimental data were used to quantitatively assess how miners' behavioral-perceptual capacity varies with noise levels, using machine learning models for attention state classification. Key findings indicate that: (1) Noise levels of 55 dB enhance miners' attention focus. manifested as reduced behavioral errors. However, noise intensities at or above 70 dB significantly deteriorate miners' behavioral-perceptual capacity, marked by increased task error, prolonged reaction times, and higher fatigue levels. (2) High noise substantially impacts miners' operational accuracy. At 70 dB, error rates notably increase, reaching 9.37% at 100 dB. (3) Among the tested machine learning models, Random Forest (RF), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) achieved prediction accuracies of 91.11%, 93.33%, and 95.56%, respectively. Following a comprehensive evaluation of prediction accuracy, precision, recall, and F1-score, the LSTM model was identified as having optimal predictive effectiveness. This study provides a theoretical foundation for optimizing underground coal mine environments, enhancing miners’ attention levels, minimizing unsafe behaviors, and advancing coal mine safety management practices.
本研究旨在探讨噪音强度与矿工注意水平之间的关系,以减轻由注意相关人为因素引起的煤矿事故。利用矿井模拟实验,本研究考察了不同程度的噪音暴露如何影响矿工的行为感知能力。实验数据用于定量评估矿工的行为感知能力如何随噪音水平而变化,使用机器学习模型进行注意力状态分类。主要研究结果表明:(1)55 dB的噪声水平增强了矿工的注意力。表现为减少行为错误。然而,70分贝或以上的噪音强度会显著降低矿工的行为感知能力,表现为任务错误增加、反应时间延长和疲劳程度提高。(2)高噪声严重影响矿工的作业精度。在70 dB时,错误率显著增加,在100 dB时达到9.37%。(3)在测试的机器学习模型中,随机森林(Random Forest, RF)、卷积神经网络(Convolutional Neural Network, CNN)和长短期记忆(Long - Short-Term Memory, LSTM)的预测准确率分别为91.11%、93.33%和95.56%。在对预测准确度、精密度、召回率和f1评分进行综合评估后,LSTM模型被认为具有最佳的预测效果。该研究为优化煤矿井下环境、提高矿工注意力水平、减少不安全行为、推进煤矿安全管理实践提供了理论依据。
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引用次数: 0
User-centered thermal experience in smartphones: How form factor and grasping behavior impact thermotactile sensation 智能手机中以用户为中心的热体验:形状因素和抓取行为如何影响热触觉
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-03-01 Epub Date: 2026-01-19 DOI: 10.1016/j.ergon.2026.103889
Tingshu Chen , Lili Dong , Yankuan Liu , Pei-Luen Patrick Rau , Pengbo Chen , Yu Shen , Kai Luo , Jianhua Shi
In this paper, we present an approach to evaluate thermal experience for both slate and foldable smartphones. Based on user grasping behavior, we measured surface temperatures in ten testing landmarks across the front, rear, and frame to investigate heat generation. We examined thermotactile sensation across three smartphone form factors (slate, vertical foldable, and horizontal foldable) in three typical usage scenarios (video recording, short-form video streaming, and long-form video streaming). Our results revealed significant differences in thermal distribution across device types, with the front and back hottest regions identified as the most reliable predictor of thermotactile sensation. There were significant positive correlations between surface temperatures and subjective thermotactile ratings, with Spearman's correlation coefficients ranging from 0.42 to 0.91. Regression models further confirmed the back hottest region as the critical thermal interaction area. Thermotactile sensation occurs across three distinct temperature zones: 39–41 °C (initial awareness), 43–45 °C (discomfort or dissatisfaction), and 46–48 °C (pain). The study demonstrates that both device form factor and grasping behavior significantly modulate thermotactile sensation, with their interaction becoming predominant in extreme heat conditions characterized by elevated surface temperatures. These findings offer practical guidance for thermal management and user-centered design in future mobile devices.
在本文中,我们提出了一种方法来评估板岩和可折叠智能手机的热体验。基于用户抓取行为,我们测量了前面、后面和框架上十个测试地标的表面温度,以研究热量的产生。我们在三种典型使用场景(视频录制、短格式视频流和长格式视频流)中测试了三种智能手机形式(平板、垂直可折叠和水平可折叠)的热触觉。我们的研究结果揭示了不同设备类型的热分布存在显著差异,其中前部和后部最热区域被认为是热触觉最可靠的预测指标。表面温度与主观热触觉评分呈显著正相关,Spearman相关系数在0.42 ~ 0.91之间。回归模型进一步证实了后热区为临界热相互作用区。热触觉发生在三个不同的温度区域:39-41°C(初始意识),43-45°C(不适或不满意)和46-48°C(疼痛)。研究表明,设备形状因素和抓取行为都显著调节热触觉,在表面温度升高的极端高温条件下,它们的相互作用成为主导。这些发现为未来移动设备的热管理和以用户为中心的设计提供了实用指导。
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引用次数: 0
Neuroergonomics evaluation of teamwork in a fast-paced communication and shared decision-making task 快节奏沟通和共同决策任务中团队合作的神经工效学评价
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-03-01 Epub Date: 2026-01-15 DOI: 10.1016/j.ergon.2026.103892
Yifan Zhang , Shen Dong , Ruoyu Niu , Yang Chu , Yafeng Pan , Jie Xu
This study examined whether inter-brain synchrony (IBS), measured via functional near-infrared spectroscopy (fNIRS) hyperscanning, may serve as a neurophysiological indicator for team collaboration following structured training. Conventional evaluations of team training rely primarily on subjective ratings and performance metrics. Although IBS has been proposed as an index of neural coordination, its relation to collaboration quality and training-induced change remains unclear. Forty-eight adults (24 dyads) were randomized to a structured team-training or no-training control group and completed a fast-paced microworld task. Independent observers subsequently rated teamwork quality from video recordings. Exploratory machine-learning classifiers were trained on channel-wise IBS features to predict each team's training status. Trained dyads showed significantly lower prefrontal IBS in specific channels than controls, a pattern accompanied by higher observer-rated teamwork scores. Classifiers achieved moderate cross-validated accuracy (≈0.73) for nominal labels and higher performance when calibrated against observer ratings (AUC up to 0.94). Interpreted within Mutual Prediction Theory (MPT), these findings suggest that IBS need not monotonically increase with better teamwork; in high-tempo operational tasks, improved coordination may coincide with reduced online mutual prediction demand. This pattern is compatible with a team neural efficiency account in which effective coordination is achieved with reduced inter-brain coupling. Together, the results motivate future work to validate generalizability and assess feasibility for monitoring and training applications in safety-critical domains.
本研究通过功能性近红外光谱(fNIRS)超扫描检测脑间同步(IBS)是否可以作为结构化训练后团队协作的神经生理指标。传统的团队培训评估主要依赖于主观评分和绩效指标。虽然IBS已被提出作为神经协调的指标,但其与协作质量和训练诱导变化的关系尚不清楚。48名成年人(24对)被随机分为有组织的团队训练组和无训练组,并完成了一个快节奏的微世界任务。随后,独立观察员根据视频记录对团队合作质量进行了评级。探索性机器学习分类器在通道智能IBS特征上进行训练,以预测每个团队的训练状态。与对照组相比,受过训练的二人组在特定通道中表现出明显较低的前额叶IBS,这种模式伴随着更高的观察者评价的团队合作得分。分类器在标称标签上获得了中等的交叉验证精度(≈0.73),在根据观察者评级进行校准时获得了更高的性能(AUC高达0.94)。在相互预测理论(MPT)的解释下,这些发现表明IBS不需要随着团队合作的改善而单调地增加;在高节奏的操作任务中,改进的协调可能与减少的在线相互预测需求相一致。这种模式与团队神经效率的解释是一致的,其中有效的协调是通过减少脑间耦合来实现的。总之,这些结果激发了未来的工作,以验证普遍性,并评估在安全关键领域监测和培训应用的可行性。
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引用次数: 0
Sustainable work environments and gendered perceptions of risk factors, musculoskeletal discomfort, and quality of work life: A pilot validation of a theoretical model 可持续工作环境与风险因素、肌肉骨骼不适和工作生活质量的性别认知:一个理论模型的试点验证
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-03-01 Epub Date: 2026-01-23 DOI: 10.1016/j.ergon.2026.103897
Jonhatan Magno Norte da Silva , Alexandre Henrique Silva Lisboa , Rafaela de Sá Teixeira , Elamara Marama de Araujo Vieira , Wilza Karla dos Santos Leite , Lucas Gomes Miranda Bispo , Vitor William Batista Martins
Recent studies have proposed theoretical models integrating biomechanical, psychosocial, and organizational risk factors with Work-Related Musculoskeletal Disorders (WMSDs) outcomes and their impacts on Quality of Work Life (QWL), but without stratification by worker sex. This pilot study aimed to validate a theoretical model through a sex-stratified analysis in a specific regional context. It involved evaluating 116 men and 304 women across various economic sectors. Variables were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). All hypotheses that were statistically significant for males were also significant for females; however, the converse is not valid. This asymmetry may partly reflect the greater statistical power from the larger female subsample, but also suggests that women are exposed to a broader spectrum of ergonomic and psychosocial risk factors. Female workers experienced all risk factors affecting males, plus additional sex-specific factors, notably the impact of physical work demands on perceived stress and musculoskeletal discomfort on quality of life. These findings point to a disproportionate burden borne by female workers and underscore the need for targeted interventions to advance workplace health equity. The model also revealed that contextual risk factors for musculoskeletal discomfort occur more frequently among females, negatively impacting their QWL—an effect not observed in males. Findings should be interpreted with the sample's gender imbalance in mind, which may affect statistical power, particularly for male-specific estimates. The model highlights the unequal ergonomic burden across sexes and reveals how sustainable workplace policies must incorporate gender equity to promote occupational well-being and prevent chronic conditions.
最近的研究提出了将生物力学、社会心理和组织风险因素与工作相关的肌肉骨骼疾病(WMSDs)结果及其对工作生活质量(QWL)的影响结合起来的理论模型,但没有按工人性别分层。本初步研究旨在通过在特定区域背景下的性别分层分析来验证理论模型。该研究评估了不同经济部门的116名男性和304名女性。变量分析采用偏最小二乘结构方程模型(PLS-SEM)。所有对男性有统计学意义的假设对女性也有统计学意义;然而,反过来是无效的。这种不对称可能在一定程度上反映了更大的女性子样本的统计能力,但也表明女性暴露在更广泛的人体工程学和社会心理风险因素中。女性员工经历了影响男性的所有风险因素,以及额外的性别因素,特别是体力工作要求对感知压力的影响,以及肌肉骨骼不适对生活质量的影响。这些调查结果表明,女工承担了不成比例的负担,并强调需要采取有针对性的干预措施,以促进工作场所卫生平等。该模型还显示,肌肉骨骼不适的环境风险因素在女性中更常见,对她们的qwl产生负面影响,而在男性中没有观察到这种影响。在解释调查结果时,应考虑到样本的性别不平衡,这可能会影响统计效力,特别是针对男性的估计。该模型强调了男女之间不平等的人体工程学负担,并揭示了可持续的工作场所政策如何必须纳入性别平等,以促进职业福祉和预防慢性病。
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引用次数: 0
Gender-inclusive ergonomics for sustainable cancer prevention: insights from self-reflection interviews with vulnerable young workers 可持续癌症预防的性别包容性人体工程学:来自弱势年轻工人自我反思访谈的见解
IF 3 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2026-03-01 Epub Date: 2026-01-14 DOI: 10.1016/j.ergon.2026.103893
Marie Laberge , Liam Lett , Sami Fettah , Jena Webb , Nadielda Pastor-Bédard , France Labrèche , Sabrina Gravel , Sylvain Letscher
This article examines exposure to carcinogens in workplaces among vulnerable youth in a Co-op training program for adolescent and young adult trainees with low educational attainment. It explores how socio-environmental factors increase these risks. An ergonomic approach was used to understand real-world work situations, going beyond measuring exposure to understanding the mechanisms involved. The methodology includes self-reflection interviews (SRI) with eleven trainees, using video of their work situations to stimulate reflection. The analysis examines how gender, communication difficulties, and the gendered nature of trades influence the perception of risks, the understanding of exposure mechanisms, and knowledge of prevention measures. Key findings reveal that trainees often underestimate cancer-related risks, associating the absence of immediate discomfort with the absence of danger. Their understanding of exposure pathways is limited, with ingestion being the most recognized route. Trainees often recognize immediate effects over long-term health consequences. Gender plays a significant role, with young women in caregiving roles prioritizing the safety of others over their own. Trainees in masculine-typical jobs are more likely to receive support and guidance from colleagues. Communication skills impact risk awareness, with trainees who struggle to articulate their thoughts having more difficulty in identifying and explaining hazards in interviews. The study highlights significant gaps in trainees’ comprehension and application of occupational health and safety measures. This research advances efforts toward a sustainable and equitable approach to occupational cancer prevention.
这篇文章研究了在一个为受教育程度低的青少年和年轻成人培训项目中,弱势青年在工作场所接触致癌物的情况。它探讨了社会环境因素如何增加这些风险。一种人体工程学的方法被用来理解现实世界的工作情况,而不仅仅是测量暴露程度,而是理解所涉及的机制。该方法包括对11名学员进行自我反思访谈(SRI),使用他们工作情况的视频来激发反思。分析考察了性别、沟通困难和贸易的性别性质如何影响对风险的认识、对暴露机制的理解以及对预防措施的了解。主要研究结果显示,受训者往往低估了与癌症相关的风险,将没有即时不适与没有危险联系起来。他们对接触途径的了解有限,摄入是最公认的途径。受训者往往认识到直接影响大于长期健康后果。性别扮演着重要的角色,年轻女性在照顾角色中优先考虑他人的安全而不是自己的安全。从事男性化工作的受训者更有可能得到同事的支持和指导。沟通技巧会影响风险意识,难以表达自己想法的受训者在面试中更难识别和解释危险。该研究突出了受训者对职业健康和安全措施的理解和应用方面的重大差距。本研究为职业癌症预防提供了可持续和公平的途径。
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International Journal of Industrial Ergonomics
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