IISE transactions on occupational ergonomics and human factors最新文献

{"title":"Arm Differences in Muscle Activity Characteristics During a Bilateral Simulated Overhead Work in Right-Handed and Ambidextrous Individuals.","authors":"Erika Renda, Ruoyan Liu, Julie N Côté","doi":"10.1080/24725838.2025.2517026","DOIUrl":"10.1080/24725838.2025.2517026","url":null,"abstract":"<p><p>Occupational ApplicationsIn this study, healthy adults performed repetitive bilateral overhead shoulder flexion to fatigue-failure while we measured electromyography of shoulder muscles. We found that ambidextrous and right-handed individuals, especially females, exhibit asymmetrical muscle activation patterns during the task. To enhance worker health and safety, handedness and sex should be considered when implementing workplace changes. For instance, our results may imply that job rotation strategies that alternate use of hands would be easier to implement for males. Moreover, to minimize risk of injury, bilateral asymmetry in muscle activity could be monitored using wearable technology. In our experiment, the mean time to fatigue-failure was under 5 min, which was enough to elicit asymmetry of muscle activation. Therefore, we recommend frequent breaks after a few minutes of work when feasible, in order to avoid asymmetrical loadings during bilateral manual work, especially among females, who both have higher injury risk and more bilateral asymmetry.</p>","PeriodicalId":73332,"journal":{"name":"IISE transactions on occupational ergonomics and human factors","volume":" ","pages":"267-279"},"PeriodicalIF":1.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144327913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of a Job Rotation Intervention on Muscle Activity Variability and Health: A Case Study in a Swedish Commercial Laundromat.","authors":"Jennie A Jackson, Leticia B Januario, Svend Erik Mathiassen","doi":"10.1080/24725838.2026.2639100","DOIUrl":"10.1080/24725838.2026.2639100","url":null,"abstract":"<p><p>OCCUPATIONAL APPLICATIONSThis pre-post intervention case study found that team-based job rotation (JR) has the potential to increase job-level, within-worker variance bilaterally in trapezius and forearm muscle activity compared with baseline by a mean of 35%, and that an actual increase of 27% was achieved. Most workers experienced an increase in within-worker variance at all four muscle sites. At follow-up, over 45% of JR workers reported lower work demands, less fatigue after work, and feeling more rested and recovered when starting a workday compared to baseline; in contrast, some workers (0-4, depending on body part) reported higher musculoskeletal symptoms at follow-up. These results provide evidence from an occupational setting that a re-distribution of existing tasks can increase the average within-worker exposure variation and suggest that JR can lead to lower demands, lower fatigue, and better recovery; further consideration of the longer-term JR effects on musculoskeletal health is required.</p>","PeriodicalId":73332,"journal":{"name":"IISE transactions on occupational ergonomics and human factors","volume":" ","pages":"303-319"},"PeriodicalIF":1.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147624983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of Low-Back Fatigue and Pain with Trunk Motor Variability in Repetitive Lifting: A Scoping Review.","authors":"Divya Srinivasan, Amir Mehdi Shayan, Tessy Luger, Svend Erik Mathiassen","doi":"10.1080/24725838.2026.2616635","DOIUrl":"10.1080/24725838.2026.2616635","url":null,"abstract":"<p><p>OCCUPATIONAL APPLICATIONSRepetitive lifting is a major occupational risk factor for developing low back fatigue and pain. This review aimed to identify and summarize the available evidence on how trunk motor variability (MV) may serve both as a predictor of susceptibility to fatigue/pain as well as a response to fatigue/pain during repetitive lifting tasks. Higher MV may protect workers by distributing loads and preventing overuse of the same tissues, potentially reducing the incidence or severity of fatigue/pain. However, findings also indicate that the relationship between MV, fatigue, and pain is complex, with the direction of MV changing depending on task demands, pain chronicity, and adaptation. Future work should aim to understand and monitor MV in the workplace to inform interventions for injury prevention.</p>","PeriodicalId":73332,"journal":{"name":"IISE transactions on occupational ergonomics and human factors","volume":" ","pages":"215-238"},"PeriodicalIF":1.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146031883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Some Words from the Honoree.","authors":"Svend Erik Mathiassen","doi":"10.1080/24725838.2026.2639274","DOIUrl":"10.1080/24725838.2026.2639274","url":null,"abstract":"","PeriodicalId":73332,"journal":{"name":"IISE transactions on occupational ergonomics and human factors","volume":" ","pages":"176-177"},"PeriodicalIF":1.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147625055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exposure Variation Analysis (EVA): Past Applications, Present Use, and Future Challenges-A Narrative Review.","authors":"Luiz Augusto Brusaca, Dechristian França Barbieri, Andreas Holtermann, Nidhi Gupta, Svend Erik Mathiassen","doi":"10.1080/24725838.2025.2573776","DOIUrl":"10.1080/24725838.2025.2573776","url":null,"abstract":"<p><p>OCCUPATIONAL APPLICATIONSExposure Variation Analysis (EVA) is a method for describing variation in exposure, capturing not only the intensity of exposure (e.g., muscle activity amplitudes or posture levels) but also how long exposures of different intensities occur in uninterrupted sequences. The present review of studies applying EVA found that this method has been used across a range of occupational sectors, from computer-based office work to physically demanding jobs, such as assembly and caregiving, and for a range of exposures, including electromyography and postures. EVA offers a way to identify patterns of exposure and recovery that may contribute to fatigue, discomfort, or disorders, or conversely promote health. The flexibility of EVA makes it suitable even for use with wearable sensor data. By adopting EVA, ergonomics professionals can better assess risk and inform the design of tasks that reduce sustained exposures and promote more balanced activity patterns.</p>","PeriodicalId":73332,"journal":{"name":"IISE transactions on occupational ergonomics and human factors","volume":" ","pages":"239-254"},"PeriodicalIF":1.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145423709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Introduction to the Festschrift: The State of the Art of Exposure Variation and Its Relevance to Occupational Health Through the Lens of the Scientific Career of Professor Svend Erik Mathiassen.","authors":"Divya Srinivasan, Pieter Coenen, Nidhi Gupta, Jennie Jackson","doi":"10.1080/24725838.2026.2671639","DOIUrl":"10.1080/24725838.2026.2671639","url":null,"abstract":"","PeriodicalId":73332,"journal":{"name":"IISE transactions on occupational ergonomics and human factors","volume":" ","pages":"169-175"},"PeriodicalIF":1.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147984680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Methods for Characterization of Day-to-Day Intra-Individual Variation in 24-Hour Physical Behaviors.","authors":"Charlotte Lund Rasmussen, Dorothea Dumuid, Tyman Everleigh Stanford, Joanne McVeigh, Leon Straker","doi":"10.1080/24725838.2025.2499273","DOIUrl":"10.1080/24725838.2025.2499273","url":null,"abstract":"<p><p>OCCUPATIONAL APPLICATIONSWe present methods to characterize individual day-to-day variation in physical behaviors, either by assessing variation in one behavior in isolation or multiple behaviors simultaneously. These methods could be used in future studies to evaluate the health implications of variation in occupational exposures. For example, the method presented for characterizing variation in a single behavior can be used to investigate how day-to-day variation in time spent standing relates to risks of developing musculoskeletal pain. However, it may be that the health risks associated with variation in one occupational exposure (e.g., standing) depend on the variation in other occupational exposures (e.g., sitting). The method presented for assessing variation in multiple behaviors could facilitate the exploration of such research questions. This method could also be used by practitioners to evaluate the effectiveness of interventions aimed to enhance variation in workplaces.</p>","PeriodicalId":73332,"journal":{"name":"IISE transactions on occupational ergonomics and human factors","volume":" ","pages":"255-266"},"PeriodicalIF":1.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-Reported Physical Work Demands in the Dutch Working Population from 2014 to 2023: A Repeated Cross-Sectional Study.","authors":"Bo Janson, Karen M Oude Hengel, Lidewij Renaud, Pieter Coenen","doi":"10.1080/24725838.2025.2602712","DOIUrl":"10.1080/24725838.2025.2602712","url":null,"abstract":"<p><p>OCCUPATIONAL APPLICATIONSThirty-four percent of the Dutch working population work in physically demanding jobs, and this proportion remained relatively stable over time. Self-reported physical work demands were higher in those with a lower (compared to higher) education level. Specific self-reported physical work demands (substantial force exertion, repetitive movements, uncomfortable body postures, and vibrations) differ between genders, age groups, and occupational sectors. Our findings show that physical work demands remain prevalent in the Dutch working population, indicating the necessity for a better understanding of the health effects of these work demands and occupational interventions and policies targeting these work demands. Our results identify specific groups on which such interventions and policies could be focused.</p>","PeriodicalId":73332,"journal":{"name":"IISE transactions on occupational ergonomics and human factors","volume":" ","pages":"178-188"},"PeriodicalIF":1.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145879525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biomechanical Effects of 3D-Printed and Spring-Based Virtual Reality Headset Support and Task Demands on the Neck.","authors":"Felipe Z Santos, Changwon Son, Hanjun Park, Changxue Xu, James Yang, Nade Liang","doi":"10.1080/24725838.2026.2680465","DOIUrl":"https://doi.org/10.1080/24725838.2026.2680465","url":null,"abstract":"<p><p>Occupational ApplicationsThis study demonstrates that office task demands and virtual reality (VR) headset support devices substantially influence neck and upper body responses during VR-based office work. Tasks requiring frequent head and eye movement caused higher neck muscle activity and greater cervical range of motion, whereas more visually focused tasks led to more static postures. Two VR headset support prototypes-a spring-based counterbalance, and a 3D-printed shoulder-mounted brace-reduced neck muscle effort relative to the standard head strap, showing potential to mitigate physical strain during prolonged use of a VR headsets. However, the shoulder-mounted brace restricted head movement and increased trunk motion and neck discomfort. For ergonomics practitioners, these findings highlight the importance of balancing load reduction with natural movement of the neck. Lightweight and adjustable headset support designs that preserve a wide range of head and trunk motion can help reduce musculoskeletal risk as VR becomes more common in occupational settings such as office, remote work, and training.</p>","PeriodicalId":73332,"journal":{"name":"IISE transactions on occupational ergonomics and human factors","volume":" ","pages":"1-19"},"PeriodicalIF":1.8,"publicationDate":"2026-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148176983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated Assessment of PPE Compliance with Fast Lightweight Deep Learning Based Computer Vision.","authors":"Peiran Liu, Xingjian Ma, Haozhi Chen, Denny Yu","doi":"10.1080/24725838.2026.2671785","DOIUrl":"https://doi.org/10.1080/24725838.2026.2671785","url":null,"abstract":"<p><p>This study presents a fast, lightweight computer vision framework that achieves high accuracy in verifying the correct use of goggles and N95 masks. For ergonomics practitioners, this model offers a computer vision tool for enhancing workplace safety compliance, that operates up to five times faster than benchmark models. The proposed algorithm enables automated PPE compliance checks at worksite entrances using consumer-grade computing hardware. Thus, reducing the burden of daily safety checks. This system can directly reduce preventable injuries through ensuring workers are properly protected by PPEs before starting work.</p><p><strong>Background: </strong>Ensuring the proper usage of Personal Protective Equipment (PPE) is mandatory to minimize workplace injuries. U.S. Department of Labor reported that appropriate PPE usage reduces over 37% of occupational diseases and injuries. Previous research investigated RepVGG and ResNet50 for PPE compliance, but the highest accuracy reported is limited, about 80%. Another challenge of PPE compliance research is the tradeoff between large model size, with high inference times, and achieving satisfactory accuracy.</p><p><strong>Purpose: </strong>Our study presents a novel lightweight computer vision framework for automated PPE compliance verification prior to worksite entry. The objective is to achieve 90% of classification accuracy with faster inference time than standard Vision Transformer, while allowing potential deployment on consumer-level computing hardware. Another objective is to identify the incorrect PPE wearing scenario with the spatial relationship awareness between workers and their equipment.</p><p><strong>Method: </strong>The proposed method constructs a state space model layer for linear computation modeling and a spatial attention module to capture global spatial dependencies with positional encoding of an image. We utilized two public PPE compliance datasets, PPE-CLS and PPE-BQZEL, to evaluate the goggles and N95 mask compliance in manufacturing.</p><p><strong>Result: </strong>The model achieved 0.91 and 0.94 accuracy on two datasets, respectively. This outperforms a standard Vision Transformer (ViT) which achieved 0.88 and 0.90, while operating up to 5 times faster. The framework's minimal size (2.8 M parameters) and linear inference scaling enable real-time performance without sacrificing accuracy.</p><p><strong>Conclusions: </strong>This work provides a fast, memory-efficient solution for automated safety supervision, which advances the artificial intelligence and machine learning applications for occupational health.</p>","PeriodicalId":73332,"journal":{"name":"IISE transactions on occupational ergonomics and human factors","volume":" ","pages":"1-13"},"PeriodicalIF":1.8,"publicationDate":"2026-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148165915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}