Ergonomics最新文献

{"title":"Ageing in the digital age: what drives virtual reality technology adoption among older adults?","authors":"Siu Shing Man, Junyu Wang, Alan Hoi Shou Chan, Li Liu","doi":"10.1080/00140139.2025.2473685","DOIUrl":"https://doi.org/10.1080/00140139.2025.2473685","url":null,"abstract":"<p><p>In a rapidly ageing population, virtual reality (VR) technology is emerging as a useful tool to meet the increasing demands for medical health, social interaction and entertainment for older adults. This study explores the factors influencing the acceptance of VR technology among older adults to boost their VR use. The acceptance model of VR technology among older adults was founded on the technology acceptance model and incorporated personal factors such as self-efficacy (SE), technology anxiety (TA), perceived enjoyment (PE) and self-satisfaction (SS). Results revealed that SE, PE and SS positively influence their intention to use VR technology, while TA has a negative impact.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1-15"},"PeriodicalIF":2.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143568759","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":"Use of wearable sensors for continuous field monitoring of upper arm and trunk postures among construction workers.","authors":"Micaela Porta, Giulia Casu, Sol Lim, Maury A Nussbaum, Massimiliano Pau","doi":"10.1080/00140139.2025.2470235","DOIUrl":"https://doi.org/10.1080/00140139.2025.2470235","url":null,"abstract":"<p><p>Construction is considered amongst the highest risk sectors for the development of work-related musculoskeletal disorders (MSDs) considering the large number of unfavourable environmental and task-specific factors typical in this sector. Thus, it is important to have quantitative tools to support the assessment of the exposure to physical MSD risk factors. We employed wearable inertial sensors (ISs) to perform a real-world characterisation of static postures and repetitive movements involving the trunk and upper arms (UA), among 15 workers during 2 hours of their regular shifts. IS data were processed according to ISO 11226 and EN 1005-4 standards. We found that workers spent ∼25% of the monitored time in static trunk flexion >20% and more than 50% of the time with UA elevations >20°. The ability to assess working postures for prolonged periods may represent a useful tool for different stakeholders involved in the protection of construction worker health.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1-14"},"PeriodicalIF":2.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143558709","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":"Proposal of cognitive bias (CB)-incorporated SHEL model to prevent disasters or crashes based on analyses of organisational failures in risk and crisis management in the Fukushima Daiichi disaster.","authors":"Atsuo Murata, Toshihisa Doi, Waldemar Karwowski","doi":"10.1080/00140139.2025.2473036","DOIUrl":"https://doi.org/10.1080/00140139.2025.2473036","url":null,"abstract":"<p><p>This study demonstrated that cognitive biases contributed to inappropriate interactions between liveware (L) and software (S), hardware (H), environment (E), or liveware (L), leading to the risk-taking decision and the organisational failures in risk and crisis management that caused the Fukushima Daiichi disaster. The validity of the model's inclusion of cognitive biases in other crashes or disasters was further confirmed by analysing 191 cases of crashes or disasters. As a lesson that we should learn from the Fukushima Daiichi disaster on how to prevent a future disaster, we proposed a cognitive bias (CB)-incorporated SHEL model for the prevention of crashes or disasters from the viewpoints of inadequate interactions between liveware and software, hardware, environment, or liveware resulting from cognitive biases.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1-17"},"PeriodicalIF":2.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143558708","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":"All-out intermittent exercise on a one-leg knee extension ergometer: mechanical and physiological responses to different resistance forces.","authors":"Matheus Silva Norberto, Germano Marcolino Putti, João Victor Gatto Torini, Tiago Rezende Figueira, Marcelo Papoti","doi":"10.1080/00140139.2025.2472265","DOIUrl":"https://doi.org/10.1080/00140139.2025.2472265","url":null,"abstract":"<p><p>This study aimed to evaluate mechanical and physiological responses to all-out high-intensity interval training (HIIT) sessions (10 maximal efforts of 30 seconds each with 4 min of rest) performed against different resistance forces on a one-leg knee extension ergometer. Eighteen men conducted an incremental test to determine the resistance associated with its maximal power (R_max), followed by all-out HIIT sessions at 120%, 160%, and 200% of R_max, while oxygen consumption and neuromuscular function were measured. Mechanical power output was higher during the session at 200% of R_max compared to the other sessions (p < 0.001), but its absolute anaerobic energy contribution was similar to that at 160% of R_max. Notably, the all-out efforts at 200% R_max led to inconsistent kicking cadence and some participants were unable to complete the session. Therefore, 160% R_max was the highest suitable resistance force for a consistent all-out HIIT session on a knee extension ergometer.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1-12"},"PeriodicalIF":2.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544201","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":"Creating augmented reality-based experiences for aviation weather training: Challenges, opportunities, and design implications for 3D authoring.","authors":"Jiwon Kim, Kexin Wang, Jack Miller, Michael C Dorneich, Eliot Winer, Lori Brown, Barrett Caldwell","doi":"10.1080/00140139.2024.2329696","DOIUrl":"10.1080/00140139.2024.2329696","url":null,"abstract":"<p><p>This paper examines opportunities and challenges of integrating augmented reality (AR) into education and investigates requirements to enable instructors to author AR educational experiences. Although AR technology is recognised for its potential in educational enhancement, it poses challenges for instructors creating AR-based experiences due to their limited digital skills and the complexity of 3D authoring tools. Semi-structured interviews with 17 aviation instructors identified current pedagogical approaches, gaps, and potential applications of AR in aviation weather education. Additionally, results highlighted the benefits of AR and obstacles to its integration into education, followed by outlining design priorities and user needs for educational AR authoring. For AR authoring toolkit development, this study recommended incorporating interactive AR lesson modules, early development of user requirements, and prebuilt AR modules. Findings will guide the development of a 3D authoring toolkit for non-technologist instructors, enabling wider AR use in aviation weather education and other educational fields.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"374-390"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140186198","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":"Training flexible spatial-cognitive estimation strategies using augmented reality.","authors":"Laura Ann Matalenas, Anne Collins McLaughlin","doi":"10.1080/00140139.2024.2332768","DOIUrl":"10.1080/00140139.2024.2332768","url":null,"abstract":"<p><p>We investigated the potential for augmented reality (AR) as a training aid for spatial estimation skills. Though there are many tools to support spatial judgments, from measuring cups to rulers, not much is known about training spatial skills for retention and transfer. Display of AR was manipulated to train the spatial skill of portion estimation. In Experiment 1, an AR-aided strategy of creating smaller portions out of a larger example amount was compared to a no-AR control condition. This manipulation was based on previous non-AR experiments where amorphous foods were better estimated when divided into smaller portions. There was a significant benefit of estimating using a solid AR shape. In Experiment 2, cognitive anchoring was manipulated. Using meaningful AR anchors resulted in the best performance and most learning. We conclude that spatial estimation skills can be combined with mental strategies and trained via AR.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"425-443"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140337548","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":"Coupled effect of load weights and belt use on male shoulder pressure redistribution.","authors":"Yanyang Dai, Jian Li, Wen Cui, Jun Li","doi":"10.1080/00140139.2024.2328357","DOIUrl":"10.1080/00140139.2024.2328357","url":null,"abstract":"<p><p>Shoulder pressure redistribution is jointly affected by backpack loads and belt support. However, the combined effect of both factors has rarely been fully evaluated. Here, we studied the coupled effect of backpack loads and belt support on shoulder pressure redistribution. All twenty-eight healthy male subjects underwent eight loading conditions with both chest and hip belts fastened (CH) and unfastened (CON) in four conditions where the backpack weighed 7.5, 15, 22.5, and 30% of body weight (BW). Shoulder pressure distribution was quantified through a pressure-sensing vest mat. The results showed that using the hip belt and chest belt was effective in relieving the high pressure in the lateral clavicle and medial trapezius region and strengthening the load-bearing capacity of shoulder. However, the assistance in pressure relief of using belt was weakened when load increased to 30% BW. This study also showed that the belt use can be effective in improving pressure asymmetry on both sides.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"345-358"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140144514","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":"An intelligent recommendation system for personalised parametric garment patterns by integrating designer's knowledge and 3D body measurements.","authors":"Cheng Chi, Xianyi Zeng, Pascal Bruniaux, Guillaume Tartare","doi":"10.1080/00140139.2024.2332772","DOIUrl":"10.1080/00140139.2024.2332772","url":null,"abstract":"&lt;p&gt;&lt;p&gt;Garment pattern-making is one of the most important parts of the apparel industry. However, traditional pattern-making is an experience-based work, very time-consuming and ignores the body shape difference. This paper proposes a parametric design method for garment pattern based on body dimensions acquired from a body scanner and body features (body feature points and three segmented body part shape classification) identified by designers according to their professional knowledge. By using this method, we construct a men's shirt pattern recommendation system oriented to personalised fit. The system consists of two databases and three models. The two databases include a relational database (Database I) and a personalised basic pattern (PBP) database (Database II). The Database I is based on manual and three-dimensional (3D) measurements of human bodies by using designer's knowledge. And Database I is a relational database, which is organised in terms of the relational model of the body part shape and its key body feature dimensions. After a deep analysis of measured data, the irrelevant measured dimensions to human body shape have been excluded by designers and extract representative human body feature dimensions. In addition, the relations between body shapes and previously identified body feature dimensions have been modelled. From the above relational model, we label key feature point positions on the corresponding 3D body model obtained from 3D body scanning and correct the whole 3D human upper body model into the semantically interpretable one. The 3D personalised basic pattern is drawn on the corrected model based on these key feature points. By using three-dimensional to two-dimensional (3D-to-2D) flattening technology, a 2D flatten graph of the 3D personalised basic pattern of the interpretable model is obtained and slightly adjusted to the form suitable for industrial production, i.e., PBP and the PBP database (Database II) is built. In addition, the three models include a basic pattern parametric model (Model I) (characterizing the relations between the basic pattern and its key influencing human dimensions (chest girth and back length)), a regression model (Model II) which enables to infer from basic pattern to PBP for three body parts based on the one-to-one correspondence of key points between the PBPs and the basic patterns and a personalised shirt pattern parametric model (Model III) (characterizing the structural relations between the personalised shirt pattern (PBPshirt) and PBP). The initial input items of the recommendation system are the body dimension constraint parameters, including chest girth, back length and the body feature dimensions used to determine each body part shape as well as three shirt style constraint parameters (slim, regular and loose). By using Model I, the corresponding basic pattern can be generated through the user's chest girth and back length. Body feature dimensions determine the three body parts","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"317-337"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140307697","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":"Predicting preferred motorcycle riding postures to support human factors/ergonomic trade-off analyses within a multi-objective optimisation-based digital human model.","authors":"Justin B Davidson, Dr Steven L Fischer","doi":"10.1080/00140139.2024.2329694","DOIUrl":"10.1080/00140139.2024.2329694","url":null,"abstract":"<p><p>Digital human models (DHM) can predict how users might interact with new vehicle geometry during early-stage design, an important precursor to conducting trade-off analyses. However, predicting human postures requires assumptions about which performance criteria best predict realistic postures. Focusing on the design of motorcycles, we do not know what performance criteria drive preferred riding postures. Addressing this gap, we aimed to identify which performance criteria and corresponding weightings best predicted preferred motorcycle riding postures when using a DHM. To address our aim, we surveyed the literature to find experimental data specifying joint angles that correspond to preferred riding postures. We then deployed a response surface methodology to determine which performance criteria and weightings optimally predicted the preferred riding postures when using a DHM. Weighting the minimisation of the discomfort performance criteria (an aggregate of joint range of motion, displacement from neutral and joint torque) best predicted preferred motorcycle riding postures.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"359-373"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140144515","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":"Understanding the informal aspects of medication processes to maintain patient safety in hospitals: a sociotechnical ethnographic study in paediatric units.","authors":"Adam B Sutherland, Denham L Phipps, Suzanne Grant, Joanne Hughes, Stephen Tomlin, Darren M Ashcroft","doi":"10.1080/00140139.2024.2333396","DOIUrl":"10.1080/00140139.2024.2333396","url":null,"abstract":"<p><p>Adverse drug events (ADEs) are common in hospitals, affecting one in six child in-patients. Medication processes are complex systems. This study aimed to explore the work-as-done of medication safety in three English paediatric units using direct observation and semi-structured interviews. We found that a combination of the physical environment, traditional work systems and team norms were among the systemic barriers to medicines safety. The layout of wards discouraged teamworking and reinforced professional boundaries. Workspaces were inadequate, and interruptions were uncontrollable. A less experienced workforce undertook prescribing and verification while more experienced nurses undertook administration. Guidelines were inadequate, with actors muddling through together. Formal controls against ADEs included checking (of prescriptions and administration) and barcode administration systems, but these did not integrate into workflows. Families played an important part in the safe administration of medication and provision of information about their children but were isolated from other parts of the system.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"444-458"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11835306/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140337549","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}