ErgonomicsPub Date : 2026-09-01Epub Date: 2025-08-22DOI: 10.1080/00140139.2025.2547286
Hari Iyer, Eunsik Kim, Chang S Nam, Heejin Jeong
{"title":"A scoping review on emerging technologies and automation of musculoskeletal ergonomic assessments.","authors":"Hari Iyer, Eunsik Kim, Chang S Nam, Heejin Jeong","doi":"10.1080/00140139.2025.2547286","DOIUrl":"10.1080/00140139.2025.2547286","url":null,"abstract":"<p><p>Ergonomic suitability is critical in tasks involving musculoskeletal movement. Many industries have examined best practices and assessed workers' ergonomic conditions during physical tasks. Prolonged awkward postures are a known cause of discomfort and restricted mobility in areas such as the arms, spine, and neck. Technologies like computer vision and human activity recognition can help identify and prioritize ergonomic improvements. This paper presents findings from a two-decade scoping review on the role of automation and study design in ergonomic assessments of physical workplace tasks. Articles were sourced from Scopus, PubMed, IEEE Xplore, Engineering Village, and Google Scholar. Eighty-four studies were analyzed to evaluate the use of technologies in data collection, experimentation, analysis, and validation. We examined how participant variables (e.g. sample size, body part of interest) and validation accuracy impact study outcomes across domains. Integrating advanced technologies into ergonomic evaluations can enhance worker safety and productivity by supporting real-time, evidence-based decision-making.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1956-1981"},"PeriodicalIF":2.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12447851/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144977322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ErgonomicsPub Date : 2026-09-01Epub Date: 2025-08-12DOI: 10.1080/00140139.2025.2542421
Patrick Slattery, Jon Wheat, L Eduardo Cofré Lizama, Paul Gastin, Ben Dascombe, Kane Middleton
{"title":"Carrying a weapon does not change stride-time variability during treadmill-based load carriage.","authors":"Patrick Slattery, Jon Wheat, L Eduardo Cofré Lizama, Paul Gastin, Ben Dascombe, Kane Middleton","doi":"10.1080/00140139.2025.2542421","DOIUrl":"10.1080/00140139.2025.2542421","url":null,"abstract":"<p><p>Gait biomechanics during load carriage tasks are a focus of military research aiming to optimise performance and manage injury risk. However, the impact of weapon handling on gait during these tasks remains relatively unexplored. This study investigates non-linear stride time measures, specifically detrended fluctuation analysis (DFA) and sample entropy (SE), which assess the persistence and regularity of stride time. Seventeen Australian Army soldiers completed 12-minute walking trials on an instrumented treadmill, both with and without a replica rifle while carrying 23.2 kg of load at speeds of 3.5 km/h, 5.5 km/h, and 6.5 km/h. Heel contacts were tracked using an 18-camera Vicon system. Mixed-effect model analyses indicated that weapon handling did not significantly affect stride time variability (DFA <i>p</i> = 0.46) or regularity (SE <i>p</i> = 0.42), suggesting it may not be a critical factor in future studies of stride time variability during load carriage tasks.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1800-1808"},"PeriodicalIF":2.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144823145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Smart glasses: environmental perception and perceived health effects.","authors":"Marjorie Pierrette, Nellie Perrin, Aurélien Lux, Patrice Marchal, Alexandre Klingler","doi":"10.1080/00140139.2025.2545541","DOIUrl":"10.1080/00140139.2025.2545541","url":null,"abstract":"<p><p>Augmented reality (AR) uses digital information to enhance our perception of the real world. Smart glasses (SG) are an example of AR, displaying information within the wearer's field of view. Although they offer advantages, such as leaving one's hands free to work, they nevertheless raise questions, particularly in terms of safety, comfort and their effects on health. In this context, an experimental laboratory study involving 80 volunteer participants was carried out to assess their environmental perception when using smart glasses and the effects on their health. The results underline an alteration in environmental perception linked to a reduction in the field of vision, as well as an attentional distraction following the processing of information received via the smart glasses. The perceived effects on health, mainly ocular, have been highlighted. The study enables recommendations to be issued on the use of SG, in order to guarantee the health and safety of users.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1879-1893"},"PeriodicalIF":2.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144823146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ErgonomicsPub Date : 2026-09-01Epub Date: 2025-08-01DOI: 10.1080/00140139.2025.2537778
Yuchu Chen, Xupu Chen, Shanguang Chen, Jie Xu, Peng Liu
{"title":"Investigating Human Factors and Ergonomics research: a 4S framework.","authors":"Yuchu Chen, Xupu Chen, Shanguang Chen, Jie Xu, Peng Liu","doi":"10.1080/00140139.2025.2537778","DOIUrl":"10.1080/00140139.2025.2537778","url":null,"abstract":"<p><p>Human Factors and Ergonomics (HFE) originated in special domains such as military. However, it is unclear whether current HFE continues to address these domains. Here we examined trends in HFE research on special domains from 2011 to 2023, using a 4S framework (special environments, machines, tasks, humans). Less than one-third of articles in <i>Ergonomics</i> and <i>Human Factors</i> targeted special domains, with healthcare, military, and aviation as the primary focuses. Nearly half of these studies were conducted in low-fidelity environments, with about 10% in real-world settings. Real machines and front-line operators were involved in 18.1% and about 50% of these studies, respectively, and skill-based tasks were predominant in experimental studies. Collaborative research between academia and industry accounted for one-third of these studies. <i>Human Factors</i> had a higher proportion of these studies, with 54.8% of first authors from the USA, compared to 23.3% in <i>Ergonomics</i>. Concerns regarding HFE research in special domains were discussed.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1722-1738"},"PeriodicalIF":2.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144765764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ErgonomicsPub Date : 2026-09-01Epub Date: 2025-08-19DOI: 10.1080/00140139.2025.2548004
Leonardo H Wei, Gustavo M Paulon, Pramiti Sarker, Suman K Chowdhury
{"title":"Sustained-till-exhaustion effects of firefighter helmets on neck muscle fatigue mechanism.","authors":"Leonardo H Wei, Gustavo M Paulon, Pramiti Sarker, Suman K Chowdhury","doi":"10.1080/00140139.2025.2548004","DOIUrl":"10.1080/00140139.2025.2548004","url":null,"abstract":"<p><p>This study investigates how helmet inertial properties-mass and centre of mass (COM)-influence neck muscle fatigue to support the biomechanical design of firefighter helmets. Thirty-six firefighters (18 males, 18 females) performed sustained neck flexion and extension tasks under three conditions: no-helmet, US, and European-style (EU) helmets. Neck angles, endurance time, discomfort ratings, and electromyography (EMG) data from eight neck muscles were collected. Fatigue was assessed as an increase in normalised mean absolute value (NMAV) and decrease in median frequency (MF) of EMG signals, segmented into four intervals (0-25%, 26-50%, 51-75%, 76-100%).Piece-wise regression and ANOVA analyses of NMAV and MF slopes for each interval showed that the US helmet led to greater muscle activation, faster fatigue, and reduced endurance. These findings highlight the importance of optimising COM location-not just the weight-when designing a helmet to reduce neck injury risks.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1908-1924"},"PeriodicalIF":2.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144884230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AI-based models for risks of work-related musculoskeletal disorders in office workers: exploring generalisability, interpretability and use of binary scales.","authors":"Mehrdad Hassani, Nektarios Karanikas, Dimitri Perrin, Richi Nayak","doi":"10.1080/00140139.2026.2710143","DOIUrl":"10.1080/00140139.2026.2710143","url":null,"abstract":"<p><p>Artificial intelligence has the potential to enhance risk assessment of work-related musculoskeletal disorders in office environments. This study externally validated previously developed machine learning models and evaluated the performance of simplified binary data inputs. Six models trained on data from 810 office workers were validated using an independent dataset of 74 globally recruited participants. Model performance across nine anatomical regions was assessed using F1-scores and AUC-ROC metrics. SHapley Additive exPlanations were used to interpret risk factor contributions, and model performance using ordinal Likert-scale inputs was compared with binary-transformed representations. Generalisability varied by anatomical region, with moderate performance for high-prevalence regions (neck and lower back) and reduced accuracy for low-prevalence regions. XGB showed moderate but comparatively stable performance across several anatomical regions. These findings highlight the need for region-specific validation and support the feasibility of simplified, interpretable, and scalable AI-based tools for practical ergonomic risk assessment in office environments.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1-19"},"PeriodicalIF":2.8,"publicationDate":"2026-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148860685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effects of AR-HUD forward collision warning designs on drivers' braking behavior and visual attention in highway driving: an eye-tracking study.","authors":"Fenghong Wang, Kexin Wu, Ruiyan Li, Siu Shing Man, Alan Hoi Shou Chan","doi":"10.1080/00140139.2026.2722278","DOIUrl":"10.1080/00140139.2026.2722278","url":null,"abstract":"<p><p>While augmented reality head-up displays (AR-HUDs) are known to enhance forward collision warning (FCW) safety, the optimal design for highway scenarios remains unclear. This study evaluated three AR-HUD FCW designs, including spatial referencing (SR), scaling animation (SA), and static symbol (SS), against a no-warning baseline in a driving simulator experiment with 39 participants. Results showed that SS produced the fastest brake response, higher time-to-collision, and fewer collisions. SR demonstrated the most stable visual attention pattern, reflected by lower pupil diameter variability, saccade time ratio, and dwell time at the hazard area, and received the highest usability ratings. SA showed a moderate effect without achieving the response efficiency of SS or the visual attention of SR. These findings provide theoretical insights into how FCW visual representations influence driving performance and visual attention, offering design insights to mitigate rear-end collision risk and improve highway safety.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1-19"},"PeriodicalIF":2.8,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148842148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ErgonomicsPub Date : 2026-08-27DOI: 10.1080/00140139.2026.2723532
Raoni Rocha Simões, Francisco de Paula Antunes Lima, Francisco Jose de Castro Moura Duarte
{"title":"Activity-based accident analysis: from blame attribution to organizational learning.","authors":"Raoni Rocha Simões, Francisco de Paula Antunes Lima, Francisco Jose de Castro Moura Duarte","doi":"10.1080/00140139.2026.2723532","DOIUrl":"https://doi.org/10.1080/00140139.2026.2723532","url":null,"abstract":"<p><p>This paper proposes Activity-Based Accident Analysis (ABAA) as a methodological framework that integrates organisational accident analysis with the reconstruction of situated work activity. While systemic approaches have advanced the understanding of organisational accidents, they often provide limited methodological guidance for analysing activity in context. The study draws on an in-depth retrospective case of a process industry accident, combining documentary analysis, interviews, field observations, and technical process data. The analysis illustrates how ABAA can contribute to a more detailed understanding of accident dynamics by reconstructing the temporal sequence of events and identifying organisational and design-related conditions that were not highlighted in the official investigation. The findings suggest that integrating activity-based analysis with organisational perspectives may offer a promising avenue for enhancing accident investigation practices and supporting organisational learning.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1-16"},"PeriodicalIF":2.8,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148834289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interpretability study on the response of the seat multi-axis vibration sensitive path to driver vibration comfort.","authors":"Xiong Bai, Jinying Huang, Yuxuan Wang, Zhenfang Fan, Xiaolong Wang, Liyu Yang, Gaoshou Deng","doi":"10.1080/00140139.2026.2717223","DOIUrl":"https://doi.org/10.1080/00140139.2026.2717223","url":null,"abstract":"<p><p>Ergonomics research increasingly prioritises driver comfort in complex vibration environments for safety and health. The existing evaluation methods fail to reveal the nonlinear relationship between vibration and comfort, ignoring the interpretability. This study proposes an interpretability comfort evaluation method using a hierarchical double path attention network (HDPA-Net). First, the acceleration and comfort data of the seat floor, cushion and backrest are collected through the road test. Then, the vibration transfer model and path decoupling method are utilised to identify vibration-sensitive paths. Finally, combined with a deep-learning model for comfort evaluation. The results showed that the multi-axis coupling has a significant impact on the transmission path. The HDPA-Net can capture vibration characteristics, achieving a mean absolute error of 3.3073 within a 0-100 score range, below the 10% acceptance threshold of ergonomics experts. This provides a new method for comfort evaluation and has an important guiding value for ergonomic seat design.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1-32"},"PeriodicalIF":2.8,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148834346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ErgonomicsPub Date : 2026-08-24DOI: 10.1080/00140139.2026.2721391
Dechristian França Barbieri, Alec Gonzales, Divya Srinivasan, Rahul Narasimhan Raghuraman, Alfredo M Carbonell, Jackie S Cha
{"title":"Evaluation of shoulder-support exoskeletons during simulated laparoscopic surgery across representative shoulder postures.","authors":"Dechristian França Barbieri, Alec Gonzales, Divya Srinivasan, Rahul Narasimhan Raghuraman, Alfredo M Carbonell, Jackie S Cha","doi":"10.1080/00140139.2026.2721391","DOIUrl":"https://doi.org/10.1080/00140139.2026.2721391","url":null,"abstract":"<p><p>The effects of two shoulder-support exoskeletons with different assistive mechanisms (soft vs. rigid design) on muscle activity were evaluated during representative shoulder postures in simulated laparoscopic surgery task. A convenience sample of 27 participants (17 males and 10 females) was recruited. Changes in shoulder muscle activity were evaluated, and subjective aspects related to exoskeleton use were documented. Both shoulder exoskeletons produced positive effects when compared with the control condition, the Hapo soft exoskeleton consistently reduced anterior deltoid activity across all evaluated shoulder postures and medial deltoid activity across four of the five representative posture configurations, while the Paexo rigid device reduced anterior deltoid activity primarily at higher shoulder elevations. Both exoskeletons achieved good usability scores. Future studies should evaluate these shoulder-support exoskeletons during live laparoscopic surgery.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1-13"},"PeriodicalIF":2.8,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148809285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}