Human Factors and Ergonomics in Manufacturing & Service Industries最新文献

{"title":"Wayfinding Signage and Walking Perception in Urban Environments: A Human Factors and Ergonomics Framework Based on a Systematic Review","authors":"Zhou Jialu,&nbsp;Norsidah Ujang,&nbsp;Mohd Shahrudin Abd Manan,&nbsp;Faziawati Abdul Aziz","doi":"10.1002/hfm.70043","DOIUrl":"10.1002/hfm.70043","url":null,"abstract":"<div>\u0000 \u0000 <p>In rapidly transforming cities, the quality of pedestrian environments has become central to sustainable and equitable mobility. Wayfinding signage, as a highly adaptable and comparatively low-cost intervention, plays a critical yet frequently undervalued role in shaping how people interpret, traverse, and ultimately experience urban space. This review aims, through a Human Factors and Ergonomics perspective, to clarify the mechanisms through which wayfinding signage influences pedestrian walking perception. A PRISMA-based systematic review identified 32 empirical studies published between 2010 and 2024. Using a structured coding strategy, signage characteristics were synthesized into recurrent human-centered mechanisms and the perceptual outcomes they influence. The evidence portrays a field that is methodologically sophisticated but contextually narrow: research clusters around hospitals, transit hubs, and other controlled interiors, with limited attention to open streets, culturally diverse users, or groups with heightened vulnerability. Across heterogeneous methods, four HFE pathways consistently emerge—cognitive load, situation awareness, decision-making, and emotional engagement—jointly shaping four stable dimensions of walking perception: continuity, connectivity, accessibility, and environmental attractiveness. These cross-study regularities point to three actionable directions for design practice: strengthening perceptual clarity to reduce cognitive burden, integrating cultural and experiential meaning to enrich environmental interpretation, and building inclusive information structures that expand accessibility for diverse pedestrian groups. By consolidating dispersed findings into a coherent HFE-informed framework, this review reframes wayfinding signage as an active interface embedded within the pedestrian experience, offering a conceptual foundation for future causal modeling and evidence-driven urban design.</p>\u0000 </div>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"36 3","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147686341","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":"Measurement and Evaluation of Task Load During Simulated Industrial Inspection Tasks Based on Correlations Between Multimodal Metrics","authors":"Xiaoli Wu,&nbsp;Biao Yan,&nbsp;Weiyi Han,&nbsp;Zexi Fang","doi":"10.1002/hfm.70042","DOIUrl":"10.1002/hfm.70042","url":null,"abstract":"<div>\u0000 \u0000 <p>Intelligent technologies have shifted operator tasks from physical to cognitive demands, making it crucial to understand the impact of task load on visual search tasks. This study examined the effects of auditory working memory and visual perceptual load on inspection tasks using electroencephalography, electrooculography, and electromyography (EMG). Working memory load was varied by an N-back task, and perceptual load by interference presence. Results indicated: (1) Excessive auditory working memory load induces interference suppression, with event-related potential P300 and P200 amplitudes indicating sensitivity to perceptual load; (2) Delta, theta, alpha, and low beta band power spectral densities (PSDs) are sensitive to working memory load, with alpha being most sensitive; (3) Eye blink rate (EBR) increases with working memory load; (4) EMG activity detection may not effectively detect working memory load despite observed trends; (5) Strong positive correlations exist within PSD bands and between P300/P200 amplitudes at certain electrodes, with significant correlations between different modality indicators, such as negative correlations between EBR and low beta band PSD and positive correlations between root mean square, integrated EMG (iEMG), and F4 electrode P300 amplitude.</p>\u0000 </div>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"36 2","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147585298","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":"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":"https://doi.org/10.1002/hfm.70041","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":2.2,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.70041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147567516","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}

{"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":"https://doi.org/10.1002/hfm.70041","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":2.2,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.70041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147567515","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}

{"title":"Analyzing Adaptive Work-System Patterns in Complex Socio-Technical Systems","authors":"Riccardo Patriarca,&nbsp;Manuel Lombardi","doi":"10.1002/hfm.70040","DOIUrl":"10.1002/hfm.70040","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper introduces a pattern-based analytical framework to understand how joint cognitive systems adapt within complex socio-technical environments. Building on Cognitive Systems Engineering (CSE) and the Work-as-X (WAx) framework, it formalizes work system patterns via the Structured Exploration of Complex Adaptations (SECA) method. The approach integrates data analytics with narrative inquiry, transforming qualitative accounts into structured, reusable knowledge. The resulting pattern library is expected to support proactive safety management and organizational learning at large, enhancing adaptive capacity and resilience across dynamic operational contexts.</p></div>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"36 2","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147566054","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 Sex, Lift Origin, Handedness, and Normalization on Spinal Loads in Maximal Box Lifting With Risk Assessment","authors":"Jazmin Cruz,&nbsp;James Yang","doi":"10.1002/hfm.70039","DOIUrl":"10.1002/hfm.70039","url":null,"abstract":"<div>\u0000 \u0000 <p>The objectives of this work were to investigate the influence of sex, handedness, and lift origin and their interactions on peak lumbar moments and loads at the L5–S1 disc level during maximally loaded box lifting tasks, examine how different normalization techniques can affect these results, and perform a risk assessment of maximum lifting where individuals self-select a safe maximum weight to lift. Twenty participants (sex, 10 women and 10 men; handedness, 10 left-dominant and 10 right-dominant) performed individualized maximally weighted box lifts from five lift origins. The OpenSim Lifting Full-Body Model was used to predict peak lumbar moments and loads. Box lift origin had a consistent influence on peak lumbar moments and loads at the L5–S1 disc level during maximally loaded box lifting tasks, where symmetric lifts produced higher lumbar flexion moments, compression loads, and shear loads than asymmetric lifts. Handedness did not have a consistent influence on peak lumbar moments or loads. Sex consistently influenced lumbar loading, with men experiencing higher lumbar loads than women. It was determined that normalization techniques can alter statistical findings, which can lead to misinterpretations if the approach does not ensure a direct comparison between groups. The risk assessment of maximum lifting revealed that a large percentage of the lifts exceeded the recommended thresholds established in the literature, indicating that individuals are unlikely to self-select a safe maximum weight to lift.</p>\u0000 </div>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"36 2","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147565082","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":"Relationship Between Physical Fatigue Variations and Seat Pressure Distribution Characteristics During Prolonged Office Sitting","authors":"Jiaxiang Zhang,&nbsp;Liming Shen,&nbsp;Yao Chao","doi":"10.1002/hfm.70038","DOIUrl":"https://doi.org/10.1002/hfm.70038","url":null,"abstract":"<div>\u0000 \u0000 <p>Prolonged sedentary behavior in office settings has become a critical public health concern, contributing to various chronic diseases. With the advancement of intelligent office systems, real-time monitoring of posture and physiological responses offers new opportunities to improve workplace health; however, the relationship between seat pressure distribution and physical fatigue during extended sitting remains insufficiently explored. Here, we systematically examine seat pressure distribution characteristics and their association with cumulative physical fatigue during prolonged office sitting to support the development of intelligent office furniture with monitoring and intervention capabilities. A controlled experiment was conducted in which 18 participants (aged 23–27) completed a simulated 3-h office sitting session. Subjective fatigue was assessed every 15 min using the Borg scale, and cumulative fatigue was quantified using the area under the curve (AUC). Seat pressure distribution was continuously recorded via a pressure sensor mat, and both pressure magnitude–related indicators (e.g., mean and peak pressure) and center-of-pressure (COP)–based spatiotemporal features were extracted. Temporal trends were described, and linear mixed-effects models were applied to examine associations between objective pressure indicators and subjective fatigue while accounting for repeated measurements, sitting duration, and individual-level covariates. Subjective fatigue increased progressively over time, with distinct differences in cumulative fatigue across body regions. Several COP-based indicators showed temporal patterns broadly consistent with fatigue progression; however, sitting duration was the dominant predictor of subjective fatigue. After controlling for time and individual differences, most pressure magnitude–related and COP-based indicators showed limited independent associations with fatigue ratings. These findings indicate that although seat pressure features reflect time-dependent changes accompanying prolonged sitting, their ability to independently represent subjective physical fatigue is constrained. The results highlight the importance of time-aware analytical frameworks when interpreting pressure-based metrics and provide insights for developing interpretable fatigue monitoring approaches in intelligent office environments.</p>\u0000 </div>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"36 2","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147315593","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":"Relationship Between Physical Fatigue Variations and Seat Pressure Distribution Characteristics During Prolonged Office Sitting","authors":"Jiaxiang Zhang,&nbsp;Liming Shen,&nbsp;Yao Chao","doi":"10.1002/hfm.70038","DOIUrl":"https://doi.org/10.1002/hfm.70038","url":null,"abstract":"<div>\u0000 \u0000 <p>Prolonged sedentary behavior in office settings has become a critical public health concern, contributing to various chronic diseases. With the advancement of intelligent office systems, real-time monitoring of posture and physiological responses offers new opportunities to improve workplace health; however, the relationship between seat pressure distribution and physical fatigue during extended sitting remains insufficiently explored. Here, we systematically examine seat pressure distribution characteristics and their association with cumulative physical fatigue during prolonged office sitting to support the development of intelligent office furniture with monitoring and intervention capabilities. A controlled experiment was conducted in which 18 participants (aged 23–27) completed a simulated 3-h office sitting session. Subjective fatigue was assessed every 15 min using the Borg scale, and cumulative fatigue was quantified using the area under the curve (AUC). Seat pressure distribution was continuously recorded via a pressure sensor mat, and both pressure magnitude–related indicators (e.g., mean and peak pressure) and center-of-pressure (COP)–based spatiotemporal features were extracted. Temporal trends were described, and linear mixed-effects models were applied to examine associations between objective pressure indicators and subjective fatigue while accounting for repeated measurements, sitting duration, and individual-level covariates. Subjective fatigue increased progressively over time, with distinct differences in cumulative fatigue across body regions. Several COP-based indicators showed temporal patterns broadly consistent with fatigue progression; however, sitting duration was the dominant predictor of subjective fatigue. After controlling for time and individual differences, most pressure magnitude–related and COP-based indicators showed limited independent associations with fatigue ratings. These findings indicate that although seat pressure features reflect time-dependent changes accompanying prolonged sitting, their ability to independently represent subjective physical fatigue is constrained. The results highlight the importance of time-aware analytical frameworks when interpreting pressure-based metrics and provide insights for developing interpretable fatigue monitoring approaches in intelligent office environments.</p>\u0000 </div>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"36 2","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147315592","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":"Assessing Team Flow and Its Outcomes in Work Teams: Validation of the Team Flow Monitor and Quick Scan","authors":"Jef J. J. van den Hout,&nbsp;Orin C. Davis,&nbsp;Siem Buseyne","doi":"10.1002/hfm.70037","DOIUrl":"https://doi.org/10.1002/hfm.70037","url":null,"abstract":"<p>Research has shown that flow experiences among groups, such as sports teams and music groups, can positively affect group processes and outcomes. However, there has been limited research on the effects of team flow in the workplace, and existing studies have mainly employed a 37-item questionnaire, namely the Team Flow Monitor (TFM), as a basis for measuring team climates and coaching the teams to achieve higher-level performances. Recognizing the need for a more concise instrument, the scientific community seeks a tool that can be easily integrated with other research scales, while practitioners prefer a shorter measure for frequent and convenient assessment. To address this, the present study introduces an 11-item measure of team flow called the Team Flow Quick Scan (TFQS). In addition to validating this measure against the established TFM, this study seeks to replicate the established findings of team flow. While the TFQS measured team flow using a slightly different model from the TFM, the results are consistent with theory and the slightly restricted ability of an 11-item measure to have the sensitivity of a 37-item measure. Ultimately, results replicated the efficacy of the TFM and introduced the TFQS as a viable tool for measuring flow in teams, which can be a powerful aid in helping teams hit their highest performance levels.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"36 2","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.70037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146216881","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}

{"title":"Assessing Team Flow and Its Outcomes in Work Teams: Validation of the Team Flow Monitor and Quick Scan","authors":"Jef J. J. van den Hout,&nbsp;Orin C. Davis,&nbsp;Siem Buseyne","doi":"10.1002/hfm.70037","DOIUrl":"https://doi.org/10.1002/hfm.70037","url":null,"abstract":"<p>Research has shown that flow experiences among groups, such as sports teams and music groups, can positively affect group processes and outcomes. However, there has been limited research on the effects of team flow in the workplace, and existing studies have mainly employed a 37-item questionnaire, namely the Team Flow Monitor (TFM), as a basis for measuring team climates and coaching the teams to achieve higher-level performances. Recognizing the need for a more concise instrument, the scientific community seeks a tool that can be easily integrated with other research scales, while practitioners prefer a shorter measure for frequent and convenient assessment. To address this, the present study introduces an 11-item measure of team flow called the Team Flow Quick Scan (TFQS). In addition to validating this measure against the established TFM, this study seeks to replicate the established findings of team flow. While the TFQS measured team flow using a slightly different model from the TFM, the results are consistent with theory and the slightly restricted ability of an 11-item measure to have the sensitivity of a 37-item measure. Ultimately, results replicated the efficacy of the TFM and introduced the TFQS as a viable tool for measuring flow in teams, which can be a powerful aid in helping teams hit their highest performance levels.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"36 2","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.70037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146215902","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}