Ergonomics最新文献

Understanding mental health care experiences in the emergency department using a human factors approach.

IF 2.4 3区工程技术

Ergonomics Pub Date : 2025-10-07 DOI: 10.1080/00140139.2025.2563363

Phoebe Gray, Elizabeth Austin, Colleen Cheek, Lieke Richardson, Emilie Francis-Auton, Nema Hayba, Robyn Clay-Williams

{"title":"Understanding mental health care experiences in the emergency department using a human factors approach.","authors":"Phoebe Gray, Elizabeth Austin, Colleen Cheek, Lieke Richardson, Emilie Francis-Auton, Nema Hayba, Robyn Clay-Williams","doi":"10.1080/00140139.2025.2563363","DOIUrl":"https://doi.org/10.1080/00140139.2025.2563363","url":null,"abstract":"Hospital emergency departments (EDs) play a critical role in providing acute psychiatric care, however mental health patients and staff report poor care experiences. This study used an ED work domain analysis (WDA), as a framework for understanding care delivery experiences for mental health patients and epistemic experts. Interviews with 29 patients and 16 mental health epistemic experts from two Australian metropolitan hospitals revealed key concerns about care delivery. Patients reported issues including poor communication, unnecessarily repetitive assessments, and patient sensory overload in the ED environment. Epistemic experts described inadequacies of the broader mental health care system, including inadequate community follow-up care and a lack of mental health-specific training for staff. Findings suggest targeted interventions to improve system functions, processes, and environmental factors, ultimately enhancing patient care. Future research can apply this WDA model to other hospitals to improve ED experiences for mental health patients.","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1-17"},"PeriodicalIF":2.4,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145245675","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}

引用次数: 0

Exploring the effects of task design on the flexion-relaxation phenomenon in the lumbar spine during repetitive lifting. 探讨任务设计对重复举重过程中腰椎屈曲-松弛现象的影响。

IF 2.4 3区工程技术

Ergonomics Pub Date : 2025-10-06 DOI: 10.1080/00140139.2025.2559968

Benjamin A McIntosh, Kayla M Fewster

引用次数: 0

An analysis of head and ear anthropometric data using 3D scans for head-wearable products. 头戴式产品使用3D扫描分析头部和耳朵的人体测量数据。

IF 2.4 3区工程技术

Ergonomics Pub Date : 2025-10-05 DOI: 10.1080/00140139.2025.2563366

Chunlong Yu, Xin Cui, Heecheon You

引用次数: 0

Polite AI mitigates user susceptibility to AI hallucinations. 礼貌的AI减轻了用户对AI幻觉的敏感性。

IF 2.4 3区工程技术

Ergonomics Pub Date : 2025-10-01 Epub Date: 2024-11-28 DOI: 10.1080/00140139.2024.2434604

Richard Pak, Ericka Rovira, Anne McLaughlin

引用次数: 0

A perspective on engaging the disability community in exoskeleton design, implementation, and policymaking. 参与外骨骼设计、实施和政策制定的残疾人社区的观点。

IF 2.4 3区工程技术

Ergonomics Pub Date : 2025-10-01 DOI: 10.1080/00140139.2025.2567471

Eleanore Rae Scheer, Melissa Choi, Divya Srinivasan, Elvie Sellers, Courtney C Rogers, Rupa S Valdez

{"title":"A perspective on engaging the disability community in exoskeleton design, implementation, and policymaking.","authors":"Eleanore Rae Scheer, Melissa Choi, Divya Srinivasan, Elvie Sellers, Courtney C Rogers, Rupa S Valdez","doi":"10.1080/00140139.2025.2567471","DOIUrl":"https://doi.org/10.1080/00140139.2025.2567471","url":null,"abstract":"Cutting-edge exoskeleton technologies are being developed to rehabilitate older adult patients in medical settings and prevent injury of able-bodied individuals in industrial settings. However, both medical and occupational exoskeletons offer yet underrecognized opportunities to support individuals across the full range of disabled experiences. This perspective piece offers guidance towards design, implementation, and policy for exoskeletons to be used by a diverse set of disabled individuals. To improve the usefulness, usability, and safety of exoskeletons for disabled users, ergonomists can employ inclusive design, universal design, user-centered design, and participatory design principles. In applying these principles, ergonomists must partner with disabled users as they are experts of their own different and overlapping physical, cognitive, sensory, and mental-health-related disabilities. This partnership should be long-standing and extend throughout all stages of the design process via participatory design sessions and community engagement studios.","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1-14"},"PeriodicalIF":2.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145208419","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}

引用次数: 0

Ergonomic interventions in Kalamkari block printing: addressing challenges and preserving tradition. 卡拉姆卡里木块印花中的人体工学干预：应对挑战和保护传统。

IF 2.4 3区工程技术

Ergonomics Pub Date : 2025-10-01 Epub Date: 2024-11-21 DOI: 10.1080/00140139.2024.2427260

Thadepalli Srivani, Sundarvel Amsamani

{"title":"Ergonomic interventions in Kalamkari block printing: addressing challenges and preserving tradition.","authors":"Thadepalli Srivani, Sundarvel Amsamani","doi":"10.1080/00140139.2024.2427260","DOIUrl":"10.1080/00140139.2024.2427260","url":null,"abstract":"This study examines the potential of ergonomic interventions to improve the well‑being and productivity of artisans in the Machilipatnam Kalamkari cluster, Andhra Pradesh, known for its traditional vegetable hand‑block printing. Due to a shortage of skilled labour and rising demand, the craft is transitioning to screen printing. The research assesses the feasibility of tools and equipment to ease manual labour, reduce stress, and prevent injuries, while enhancing productivity. The purpose of the study was to propose alternative mechanisms for the craft practices both at unit and cluster levels involving production and non‑production based activities. A survey of 30 artisans revealed strong support for items like anti‑fatigue flooring, measuring stands, and hydro extractors, with over 80% of responses rating them as relevant, useful, and feasible. There is significant association between the awareness and availability of suggested items. The study highlights the importance of introducing ergonomic tools to reduce fatigue, attract younger artisans, and sustain this traditional craft, contributing to both artisan welfare and the preservation of cultural heritage.","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1583-1605"},"PeriodicalIF":2.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142689436","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}

引用次数: 0

Auto-AzKNIOSH: an automatic NIOSH evaluation with Azure Kinect coupled with task recognition. Auto-AzKNIOSH：与Azure Kinect结合任务识别的自动NIOSH评估。

IF 2.4 3区工程技术

Ergonomics Pub Date : 2025-10-01 Epub Date: 2024-12-04 DOI: 10.1080/00140139.2024.2433027

Francesco Lolli, Antonio Maria Coruzzolo, Chiara Forgione, Mirco Peron, Fabio Sgarbossa

{"title":"Auto-AzKNIOSH: an automatic NIOSH evaluation with Azure Kinect coupled with task recognition.","authors":"Francesco Lolli, Antonio Maria Coruzzolo, Chiara Forgione, Mirco Peron, Fabio Sgarbossa","doi":"10.1080/00140139.2024.2433027","DOIUrl":"10.1080/00140139.2024.2433027","url":null,"abstract":"Standard Ergonomic Risk Assessment (ERA) from video analysis is a highly time-consuming activity and is affected by the subjectivity of ergonomists. Motion Capture (MOCAP) addresses these limitations by allowing objective ERA. Here a depth camera, one of the most commonly used MOCAP systems for ERA (i.e. Azure Kinect), is used for the evaluation of the NIOSH Lifting Equation exploiting a tool named AzKNIOSH. First, to validate the tool, we compared its performance with those provided by a commercial software, Siemens Jack TAT, based on an Inertial Measurement Units (IMUs) suit and found a high agreement between them. Secondly, a Convolutional Neural Network (CNN) was employed for task recognition, automatically identifying the lifting actions. This procedure was evaluated by comparing the results obtained from manual detection with those obtained through automatic detection. Thus, through automated task detection and the implementation of Auto-AzKNIOSH we achieved a fully automated ERA.Practitioner Summary:The standard evaluation of the NIOSH Lifting Equation is time-consuming and subjective, thus a new automatic tool is designed, which integrates motion captures provided by Azure Kinect and task recognition. We found a high agreement between our tool and Siemens Jack TAT suit, the golden standard technology for motion capture.","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1718-1734"},"PeriodicalIF":2.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142781750","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}

引用次数: 0

Divergence in situation awareness and workload. 情境意识和工作量的差异。

IF 2.4 3区工程技术

Ergonomics Pub Date : 2025-10-01 Epub Date: 2024-11-13 DOI: 10.1080/00140139.2024.2427859

Mica R Endsley, Jordan Dixon, Tristan Endsley, David Jamrog, Laura Smith-Velazquez, Avi Pfeffer

引用次数: 0

Daily stress detection from real-life speeches using acoustic and semantic information. 利用声学和语义信息检测真实演讲中的日常压力。

IF 2.4 3区工程技术

Ergonomics Pub Date : 2025-10-01 Epub Date: 2024-11-25 DOI: 10.1080/00140139.2024.2430370

Peixian Lu, Liuxing Tsao, Liang Ma

{"title":"Daily stress detection from real-life speeches using acoustic and semantic information.","authors":"Peixian Lu, Liuxing Tsao, Liang Ma","doi":"10.1080/00140139.2024.2430370","DOIUrl":"10.1080/00140139.2024.2430370","url":null,"abstract":"Detecting daily stress is of vital importance for workplace safety and health, and natural speech is recommended as one of the main methods of mental stress detection. This study developed machine-learning models for daily stress detection from real-life speeches by fusing its acoustic and semantic signals. First, we collected real-life speech data from life-stress-catharsis room of online chat platform and established a speech database with real daily stress. Second, we obtained the model performances of common machine-learning classifiers for stress detection and compared them with human performance. The stress-detection classifiers achieved a promising performance of 74.25% accuracy and 83.73% F1-score using only acoustic signal. By fusing with the semantic signal, the stress detection model performance was significantly improved and achieved a performance of 81.20% accuracy and 87.46% F1-score, which validated the importance of semantic information in daily stress detection. Meanwhile, the best performance of the machine learning model was close to the human recognition capability. The results of this study validated the feasibility of detecting daily stress based on real speech. The models developed in this study could be used for daily stress detection in real life and can provide information for stress interventions to ease the negative effects on health.","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1694-1717"},"PeriodicalIF":2.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142710412","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}

引用次数: 0

Observational methods for the analysis of biomechanical exposure in the workplace: a systematic review. 工作场所生物力学暴露分析的观察方法：系统综述。

IF 2.4 3区工程技术

Ergonomics Pub Date : 2025-10-01 Epub Date: 2024-11-29 DOI: 10.1080/00140139.2024.2427864

Daniela Pereira Valentim, Maria Luiza Caires Comper, Lyssa Sandy Medeiros Rodrigues Cirino, Patrícia Rodrigues da Silva, Maria Padilha Alonso Gomes, Anderson Martins da Silva, Rosimeire Simprini Padula

{"title":"Observational methods for the analysis of biomechanical exposure in the workplace: a systematic review.","authors":"Daniela Pereira Valentim, Maria Luiza Caires Comper, Lyssa Sandy Medeiros Rodrigues Cirino, Patrícia Rodrigues da Silva, Maria Padilha Alonso Gomes, Anderson Martins da Silva, Rosimeire Simprini Padula","doi":"10.1080/00140139.2024.2427864","DOIUrl":"10.1080/00140139.2024.2427864","url":null,"abstract":"Understanding the characteristics and measurement properties of the observational methods for biomechanical exposure analysis contributes to choosing and planning workplace ergonomic interventions. This systematic review search was performed in the four databases. In 99 studies, 75 observational methods were identified. Posture/movement, force and repetitiveness were the most evaluated risk factors for the upper limbs, trunk and head. EAWS, OCRA, the expanded PATH and QEC evaluate more biomechanical risk factors. EAWS, PATH, QEC, CADEP, ROSA, REBA, modified REBA, RULA, all body segments. Criterion validity, reliability and agreement are REBA and ROSA's most tested measurement properties. The quality of evidence ranged from moderate to high for 23 methods. ALLA, HAL, OFFERA, simplified PATH and the expanded PATH stand out with high-quality evidence. The expanded PATH and QEC are the most complete in evaluating several occupational tasks, respectively, with high- and moderate-quality evidence.","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1561-1582"},"PeriodicalIF":2.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142752028","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}

引用次数: 0