Applied Ergonomics最新文献

{"title":"Corrigendum to \"Learning aircraft procedures through an immersive virtual reality environment\" [Appl. Ergon. 139, (2027), 104891].","authors":"Nadine Matton, Jean-Paul Imbert, Yves Rouillard, Coline Ott, Philippe Ribet","doi":"10.1016/j.apergo.2026.104918","DOIUrl":"https://doi.org/10.1016/j.apergo.2026.104918","url":null,"abstract":"","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":" ","pages":"104918"},"PeriodicalIF":3.5,"publicationDate":"2026-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149247559","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}

{"title":"Passive exoskeletons in healthcare practice: Usability and acceptance in a clinical setting","authors":"Britta Exner ,&nbsp;Stefan Waßmann ,&nbsp;Dana Gück ,&nbsp;Fabian Frielitz","doi":"10.1016/j.apergo.2026.104746","DOIUrl":"10.1016/j.apergo.2026.104746","url":null,"abstract":"<div><h3>Background</h3><div>Exoskeletons are gaining interest as ergonomic tools, but healthcare tasks’ variability, hygiene standards, and emergency demands pose challenges. Despite the high rate of musculoskeletal disorders, it remains unclear how feasible exoskeletons are in clinical practice.</div></div><div><h3>Methods</h3><div>In a clinical field trial at University Hospital Magdeburg, 17 healthcare professionals tested a passive exoskeleton over two months. Participants chose when to wear it. Data included wear duration, questionnaires on usability, support, comfort, technology affinity, and semi-structured interviews.</div></div><div><h3>Results</h3><div>Participants wore the exoskeleton for 312 h total (average 20 h/person across three shifts), mostly for specific tasks. All found it easy to use, but support and comfort ratings varied. Some noted improved posture and back stability; others reported discomfort and restricted movement. The mean overall rating was 2.7 ± 0.99 (German school grading). Further research is needed on long-term effects and task-specific use. A return on investment is possible if at least 18.5 sick days of a nurse per year are prevented, with purchase costs expected to drop. In settings with staff shortages, indirect effects may lower this threshold to 2.7 days.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"135 ","pages":"Article 104746"},"PeriodicalIF":3.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146122568","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}

{"title":"A work systems approach to characterizing emergency department disposition decision-making under low and high demand","authors":"Rachel A. Rutkowski ,&nbsp;Michael S. Pulia ,&nbsp;Megan E. Salwei ,&nbsp;Emma Loveless ,&nbsp;Lily Jaeger ,&nbsp;Michael Rawson ,&nbsp;Kathryn L. Wust ,&nbsp;Peter L.T. Hoonakker ,&nbsp;Barbara J. King ,&nbsp;Manish N. Shah ,&nbsp;Brian W. Patterson ,&nbsp;Paula vW. Dáil ,&nbsp;Maureen Smith ,&nbsp;Pascale Carayon ,&nbsp;Nicole E. Werner","doi":"10.1016/j.apergo.2026.104737","DOIUrl":"10.1016/j.apergo.2026.104737","url":null,"abstract":"<div><div>Emergency department (ED) clinical decision-making, specifically for transfer or disposition decisions, has been challenging to characterize. The purpose of this descriptive study is to identify the work system elements that influence the ED disposition decision-making process and to identify those work system elements that vary under low and high demands. We conducted a work systems analysis of 20 contextual inquiry-based ED visit observations and 18 semi-structured interviews with ED clinicians. Results identified work system elements not previously characterized (i.e., physical environment) and revealed that a subset of elements within the ED work system vary with demand. To fully elucidate the meaning and effect of these differences, we must develop a systematic approach to eliciting the influence each work system element has on disposition decision-making process performance.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"134 ","pages":"Article 104737"},"PeriodicalIF":3.4,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146020713","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}

{"title":"Exploring the integration of large language models in human-robot collaboration: Effects on performance, mental stress, and trust","authors":"Bingyi Su,&nbsp;Fangyuan Cheng,&nbsp;Lu Lu,&nbsp;Liwei Qing,&nbsp;SeHee Jung,&nbsp;Xu Xu","doi":"10.1016/j.apergo.2026.104736","DOIUrl":"10.1016/j.apergo.2026.104736","url":null,"abstract":"<div><div>As large language models (LLMs) become increasingly integrated into robotic systems, understanding their influence on human-robot collaboration (HRC) is critical for designing effective and user-centered human-robot interactions. This study investigates the impact of LLM-enhanced robotic systems on users’ performance, mental stress, and trust during collaborative tasks. Participants engaged in two representative HRC scenarios, including object delivery and instruction following, under two experimental conditions: with and without LLM support. Performance was measured through task completion time and number of verbal commands; mental stress was assessed using both subjective (NASA-TLX) and objective (galvanic skin response, GSR) measures; and trust was evaluated through the SHAPE Trust Index and eye-tracking metrics (blink rate and duration). Results showed that LLM integration significantly improved task efficiency and reduced subjective mental stress, particularly mental demand, effort, and frustration. Participants also reported higher levels of trust in the LLM condition across dimensions such as usefulness, reliability, accuracy, and ease of use. Interestingly, GSR data indicated elevated physiological arousal, possibly suggesting increased engagement or positive emotional activation, while eye-tracking measures showed no significant differences. These findings highlight the potential of LLMs to enhance HRC by enabling more natural communication, reducing mental workload, and increasing user trust, while also pointing to the need for improved system transparency to support deeper understanding and sustained trust.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"134 ","pages":"Article 104736"},"PeriodicalIF":3.4,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146020754","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}

{"title":"The psychological refractory period effect in an intelligent mine monitoring task","authors":"Rongjuan Zhu ,&nbsp;Peiyu Liu ,&nbsp;Huan Zhu ,&nbsp;Shitong Han ,&nbsp;Yaqi Wu ,&nbsp;Qi Hui ,&nbsp;Yuan Li ,&nbsp;Xuqun You","doi":"10.1016/j.apergo.2026.104740","DOIUrl":"10.1016/j.apergo.2026.104740","url":null,"abstract":"<div><div>In intelligent mining monitoring operations, operators are often required to perform multiple tasks, either simultaneously or sequentially, within a short time frame. However, the limits of individuals’ cognitive resources may lead to delayed responses on the second and subsequent tasks, also known as the psychological refractory period (PRP) effect. This study investigates the impacts of stimulus onset asynchrony (SOA), spatial presentation layout, and task load on the PRP effect in a simulated intelligent mining monitoring task. Across three experiments, a clear PRP effect was consistently observed in the secondary task (T2), with reaction times decreasing as SOA increased. Although the spatial presentation layout of the tasks did not directly alter the PRP effect for T2, it did significantly affect reaction times for both tasks, with faster responses observed when tasks were presented in the right visual hemifield. In addition, manipulating cognitive load revealed that high load conditions for T1 led to a noticeable PRP effect on T2, while both high and low load conditions for T2 similarly produced the PRP effect on T2. These findings underscore the necessity of applying ergonomic principles to the design of monitoring systems, specifically for optimizing task layout and managing task load to reduce cognitive bottlenecks in high-demand environments like intelligent mining.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"134 ","pages":"Article 104740"},"PeriodicalIF":3.4,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146055065","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}

{"title":"Evaluation of a markerless motion capture to measure 3D joint kinematics during occupational lifting tasks using mobile devices","authors":"Mina Salehi ,&nbsp;Ali Taheri ,&nbsp;Seobin Choi ,&nbsp;Jeong Ho Kim","doi":"10.1016/j.apergo.2026.104743","DOIUrl":"10.1016/j.apergo.2026.104743","url":null,"abstract":"<div><div>Recent advances in human pose estimation (HPE) have enabled markerless motion capture (MoCap) techniques as a promising alternative to traditional marker-based MoCap systems. However, most HPE algorithms only provide sparse video keypoints, which are insufficient to estimate joint angles in all anatomical planes according to biomechanical guidelines. OpenCap, an open-source smartphone-based markerless MoCap platform, addresses this limitation using a deep learning model (named the marker augmenter) that predicts dense anatomical markers from sparse video keypoints. However, it has shown lower performance for activities not included in its training dataset, such as occupational lifting tasks. In this study, we adapted the original marker augmentation model of OpenCap and proposed a task-specific model for occupational lifting, trained on a large and diverse dataset of manual lifting tasks. The proposed model reduced both kinematic errors (mean RMSE = 9.45° vs. 15.04°) and error variability (SD = 7.26° vs. 16.13°) compared to the original model. These findings suggest that OpenCap can be adapted for occupational lifting tasks, offering a low-cost, easy-to-use, and field-viable solution to collect 3D lifting kinematics for ergonomics applications.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"134 ","pages":"Article 104743"},"PeriodicalIF":3.4,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146107843","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}

{"title":"The effect of United States firefighters’ personal protective equipment on mobility and functional task performance: A scoping review","authors":"Kuanting Chen ,&nbsp;Kyle Holland ,&nbsp;Margaret J. Foster ,&nbsp;Jennifer M. Yentes","doi":"10.1016/j.apergo.2026.104730","DOIUrl":"10.1016/j.apergo.2026.104730","url":null,"abstract":"<div><div>This scoping review aims to synthesize existing evidence investigating the impact of firefighters' personal protective equipment (PPE) on mobility and performance in the United States. Following the Preferred Reporting Items for Scoping Reviews, five databases were searched, and fifteen articles meeting the criteria were reviewed. Findings revealed that PPE impaired firefighters’ dynamic balance (4 of 4 studies), static range of motion (all 4 studies showed various degrees of limitations), gait (3 of 3 studies), and subjective perceptions of comfort and movement ease (5 of 5 studies). In contrast, all studies investigating static balance and firefighting task completion time showed these performances were unaffected, although evidence in these areas remains limited. Factors influencing mobility and performance in PPE included gear fit, design features, wear conditions, and firefighter fitness levels. This review highlighted the importance of high physical fitness among firefighters and the need for end-user wear trials in gear design and evaluation.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"134 ","pages":"Article 104730"},"PeriodicalIF":3.4,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145967208","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}

{"title":"Guidelines for developing digital triage tools to mitigate workload challenges: A scoping review","authors":"Jihyun Kim ,&nbsp;Junho Park","doi":"10.1016/j.apergo.2026.104742","DOIUrl":"10.1016/j.apergo.2026.104742","url":null,"abstract":"<div><div>Digital technologies are increasingly adopted in medical triage to address healthcare providers’ workload; however, workload-related effects remain insufficiently understood. This scoping review synthesizes how workload has been conceptualized, addressed, and evaluated in technology-supported medical triage. Following Joanna Briggs Institute methodology and PRISMA-ScR guidelines, six databases were searched (2020–2025), yielding 16 empirical studies across diverse triage contexts. The findings indicate that workload has been predominantly used as contextual justification rather than as an explicit evaluation target. Digital technologies were primarily evaluated using self-reported or performance-based methods, with workload-related implications inferred. No study systematically incorporated physiological workload measures. Although these technologies often improved performance, they did not consistently reduce workload and, in some cases, introduced additional demands. Technology interventions tended to redistribute rather than reduce workload. This review provides a foundation for evaluating workload in ways aligned with the intended functions of digital triage technologies, informing their human-centered design and evaluation.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"134 ","pages":"Article 104742"},"PeriodicalIF":3.4,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078077","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}

{"title":"The effects of body mass index on foot shape among U.S. children","authors":"Hayoung Jung,&nbsp;Byoung-Keon D. Park,&nbsp;Sheila M. Ebert,&nbsp;Monica L.H. Jones,&nbsp;Matthew P. Reed","doi":"10.1016/j.apergo.2026.104741","DOIUrl":"10.1016/j.apergo.2026.104741","url":null,"abstract":"<div><div>Understanding the three-dimensional shape of children's feet is valuable for designing appropriate footwear and orthotic devices, tracking growth trajectories, and supporting foot health and development. The most important anthropometric change in the U.S. in recent years is the increase in body mass at every age, but the effects of these trends on child foot shapes have not previously been studied. To address this gap, we collected high-resolution, three-dimensional (3d) foot surface data from 490 children ages 3–17 years across body mass index (BMI) from 12.4 to 52.6 kg/m² and developed a statistical foot shape model to analyze the variations in foot morphology related to BMI. After accounting for age effects, a higher BMI was associated with differences in foot dimensions, including broader foot width, greater circumference, and increased thickness, as well as a larger cross-sectional area and volume. Higher BMI was also associated with lower arch height. Specific foot regions, including the medial and lateral sides, arch, and instep, showed more substantial shape differences with varying BMI levels. The observed differences were most pronounced in older children, with 10- and 17-year-olds showing the greatest discrepancy in foot dimensions. Differences in foot shape between median and 95th percentile BMI were much higher than the differences between the 5th percentile and median BMI, particularly concentrated in the hindfoot and anterior ankle area. This study provides the first comprehensive three-dimensional analysis of children's foot shape variations in relation to BMI, compared to previous research that focused primarily on linear dimensions. The findings suggest that the increasing body mass among children may necessitate the redesign of footwear to ensure a good fit. The foot shape model can be used to estimate foot shapes from demographic data, accurately fit low-resolution foot scan data, and aid in the design of footwear and orthotic devices. Future research should aim to collect more data from young children with high BMI, improve the representation of population subgroups, and include consideration of dynamic effects. The children's foot model is publicly available online at <span><span>https://HumanShape.org/ChildFoot</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"134 ","pages":"Article 104741"},"PeriodicalIF":3.4,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078086","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}

{"title":"Physiological data-driven models for motion sickness prediction","authors":"Daniel Sousa Schulman ,&nbsp;Bradley Kerr ,&nbsp;Srikanth Kolachalama ,&nbsp;Siyuan Yin ,&nbsp;Jedidiah Pienkney ,&nbsp;Michael Wachsman ,&nbsp;Nishant Jalgaonkar ,&nbsp;Ruimin Gao ,&nbsp;Monica L.H. Jones ,&nbsp;Shorya Awtar","doi":"10.1016/j.apergo.2026.104739","DOIUrl":"10.1016/j.apergo.2026.104739","url":null,"abstract":"<div><div>With advances in autonomous vehicle technology and in-cabin occupant monitoring systems, prediction of motion sickness (MS) has emerged as a key challenge to improve passenger experience. In this paper, a framework for MS prediction is proposed leveraging classification algorithms and timeseries physiological data, including blood volume pulse, electrodermal activity, and neck surface electromyography. The dataset used for model training contains over 1500 min of in-vehicle data, three test conditions, and a range of subject demographics. Model predictions were able to achieve 81% accuracy for binary classification (sick or not sick) and 58% for ternary classification (low, moderate or high sickness). In addition, feature importance analysis identified electrodermal activity and surface electromyography as the most relevant data streams for MS prediction. Finally, the paper analyzed the temporal dependency of physiological data on MS response and found that physiological data can precede a subject’s self-reporting of MS by up to 180 s.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"134 ","pages":"Article 104739"},"PeriodicalIF":3.4,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146127543","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}