Human Factors and Ergonomics in Manufacturing & Service Industries最新文献_第4页

Why not work with anthropomorphic collaborative robots? The mediation effect of perceived intelligence and the moderation effect of self-efficacy 为什么不与拟人协作机器人合作？感知智能的中介效应和自我效能的调节效应

IF 2.4 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2024-01-08 DOI: 10.1002/hfm.21024

Shilong Liao, Long Lin, Qin Chen, Hairun Pei

引用次数: 0

The influence of elbow and forearm posture on grip force perception in healthy individuals 肘部和前臂姿势对健康人握力感知的影响

IF 2.4 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2024-01-04 DOI: 10.1002/hfm.21022

Huihui Wang, Shengkou Wu, Lin Li

{"title":"The influence of elbow and forearm posture on grip force perception in healthy individuals","authors":"Huihui Wang, Shengkou Wu, Lin Li","doi":"10.1002/hfm.21022","DOIUrl":"10.1002/hfm.21022","url":null,"abstract":"This study aimed to examine the influence of elbow and forearm postures, as well as sex, on the perception of grip force in a sample of individuals without any known health conditions. A total of 21 healthy participants (10 women and 11 men) from college were included and completed a force reproducibility assignment with four elbow and forearm positions (full pronation, supination, and extension, and at 90° of flexion) at three force levels (10%, 30%, and 50% of maximal voluntary isometric contraction [MVIC]). Our results show that participants were more sensitive in detecting variations in their grip force when their elbow was in full supination (14.1 ± 8.5% MVIC, p < .05) and full extension (13.8 ± 10.1% MVIC, p < .01) than when it was at 90° of flexion (19.9 ± 20.1% MVIC). The normalized absolute error exhibited comparable patterns among both male and female participants. Specifically, when the working range of the muscles increased (as indicated by higher maximum voluntary isometric contraction values in males), the accuracy decreased (as reflected by the more significant absolute error in men). Moreover, men exhibited a greater degree of both constant and variable error than women. Recent research indicates that the prevalence of musculoskeletal disorders is higher in women than in males. The results we obtained may contribute to developing strategies to reduce injury risk.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 3","pages":"231-240"},"PeriodicalIF":2.4,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139386331","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

Applying a human factors approach to proning pillows in the ICU: Opportunities for redesign 将人为因素方法应用于重症监护室的枕头：重新设计的机会

IF 2.4 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2023-12-19 DOI: 10.1002/hfm.21023

Mathilde R. Desselle, Kirsty McLeod, Isabel Byram, Luke Wainwright, Fiona Coyer, Marianne Kirrane

{"title":"Applying a human factors approach to proning pillows in the ICU: Opportunities for redesign","authors":"Mathilde R. Desselle, Kirsty McLeod, Isabel Byram, Luke Wainwright, Fiona Coyer, Marianne Kirrane","doi":"10.1002/hfm.21023","DOIUrl":"10.1002/hfm.21023","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 Proning, or turning a patient face down, is a technique used to manage patients with acute respiratory distress in intensive care units (ICUs). Research suggests that the type of pillow used in proning may have a significant impact on patient outcomes and increase the risk of disfiguring pressure injuries to the face. However, there is little evidence surrounding the usability of these pillows in the ICU. The aim of this study was to identify redesign opportunities by understanding how the tools, tasks, people, environment, and organization all interact during proning in the ICU. Thirty-six ICU clinicians from two Australian public metropolitan hospitals completed an online questionnaire regarding their opinions and experiences with proned patients and the prevention of pressure injuries. Seven ICU clinicians then completed journey mapping activities to document the key workflows, critical incidents, considerations, and personnel involved in managing proned patients in the ICU. Several barriers and facilitators to pressure injury prevention were identified, including interactions between the various tools (e.g., proning pillows with one opening limits the management of several medical devices), the tasks (e.g., high frequency of repositioning), the people (e.g., clinical inexperience, patient features), the environment (e.g., limited availability of tools), and the organization (e.g., limited number of staff to support tasks). This holistic approach revealed several opportunities for the redesign of proning pillows and associated systems. Key takeaways include the limitations of a one-size-fits-all approach to proning in the ICU context, and the need for flexibility and customization to improve proning pillows, associated medical devices, prophylactic dressings, aids, and processes.\u0000 </section>\u0000 </div>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 3","pages":"221-230"},"PeriodicalIF":2.4,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138959527","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

Blessed be intelligent assistance systems at high task rotation? The effect on motivational work design in assembly 任务轮换频繁时智能辅助系统是否有福？对装配中激励性工作设计的影响

IF 2.4 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2023-12-14 DOI: 10.1002/hfm.21021

Marvin Walczok, Tanja Bipp

{"title":"Blessed be intelligent assistance systems at high task rotation? The effect on motivational work design in assembly","authors":"Marvin Walczok, Tanja Bipp","doi":"10.1002/hfm.21021","DOIUrl":"10.1002/hfm.21021","url":null,"abstract":"We aimed to provide causal evidence on the contradictory effects of projection-based intelligent assistance systems (IASs) for nine motivational work characteristics (MWCs). IASs are increasingly implemented in assembly to counteract rising cognitive workload due to individualized manufacturing processes. However, how IASs enhance or restrict MWCs is largely unknown. We conducted two studies with experimental vignette methodology. In Study 1 (N1 = 169 German employees), we manipulated an assembly workplace (with IAS vs. without IAS) and tested whether findings indicating only positive effects of IASs in the support of a simple assembly process can be transferred to more complex assembly processes. In Study 2 (N2 = 176 German employees), we manipulated again the assembly workplace (with IAS vs. without IAS) and in addition the dynamic of product changes (task rotation after 1 h vs. no task rotation). Analyzing the data with SPSS 27, we found increased feedback from job and information processing and decreased work scheduling, decision-making, and work methods autonomy when working with IAS. In Study 2, we did not find the main or interaction effects of task rotation on MWCs. Our experimental evidence suggests that working with IASs represents a double-edged sword regarding MWCs and that the effect of task rotation is limited. Hence, our results provide vital theoretical implications for a much-needed work design theory that delineates how new technologies shape work design and practical implications for modern assembly.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 3","pages":"206-220"},"PeriodicalIF":2.4,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.21021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138972448","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}

引用次数: 0

More trust or more risk? User acceptance of artificial intelligence virtual assistant 更多信任还是更多风险？人工智能虚拟助手的用户接受度

IF 2.4 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2023-12-11 DOI: 10.1002/hfm.21020

Yiwei Xiong, Yan Shi, Quanlin Pu, Na Liu

{"title":"More trust or more risk? User acceptance of artificial intelligence virtual assistant","authors":"Yiwei Xiong, Yan Shi, Quanlin Pu, Na Liu","doi":"10.1002/hfm.21020","DOIUrl":"10.1002/hfm.21020","url":null,"abstract":"Artificial intelligence (AI) virtual assistants are rapidly growing, permeating people's daily lives and work. However, some trust and risk issues prevent the acceptance and use of AI virtual assistants by users. Thus, understanding the roles of trust and perceived risk in user acceptance of AI virtual assistants is crucial. This study develops a comprehensive research model based on unified theory of acceptance and use of technology (UTAUT) to explain user acceptance of AI virtual assistants. This model extends UTAUT by adding users' perception of trust and risk. The research model and hypotheses are validated through structural equation modeling with a sample of 926 AI virtual assistant users. Results show that gender is significantly related to behavioral intention to use, education is positively related to trust and behavioral intention to use, and usage experience is positively related to attitude toward using. UTAUT variables, including performance expectancy, effort expectancy, social influence, and facilitating conditions, are positively related to behavioral intention to use AI virtual assistant. Trust and perceived risk respectively have positive and negative effects on attitude toward using and behavioral intention to use AI virtual assistants. Trust and perceived risk play equally important roles in explaining user acceptance of AI virtual assistants. Theoretical and practical implications of the current AI virtual assistant acceptance model and directions for future research are discussed.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 3","pages":"190-205"},"PeriodicalIF":2.4,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138979239","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

Recognition and interpretation of aggressive driving behavior for heavy-duty vehicles based on artificial neural network and SHAP 基于人工神经网络和 SHAP 的重型车辆攻击性驾驶行为的识别和解释

IF 2.4 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2023-11-23 DOI: 10.1002/hfm.21019

Chuangang Cheng, Shuyan Chen, Yongfeng Ma, Aemal J. Khattak, Ziyu Zhang

{"title":"Recognition and interpretation of aggressive driving behavior for heavy-duty vehicles based on artificial neural network and SHAP","authors":"Chuangang Cheng, Shuyan Chen, Yongfeng Ma, Aemal J. Khattak, Ziyu Zhang","doi":"10.1002/hfm.21019","DOIUrl":"10.1002/hfm.21019","url":null,"abstract":"Aggressive driving significantly impacts traffic safety, and heavy-duty vehicle drivers are more liable for causing serious crashes. This paper analyzes drivers' aggressive driving behavior from the vehicle type perspective and identifies the influencing factors of aggressive driving behavior through artificial neural network (ANN) and Shapley additive explanations (SHAPs). Using Kaggle's open-source aggressive driving data, we establish an ANN model to identify driving styles, where road conditions, environmental conditions, and vehicle parameters are independent variables and driving style is a dependent variable. The following measurements, including accuracy, recall, precision, and F1 score, are used to evaluate the model's performance, and the neural network got 85.33%, 82.32%, 84.16%, and 0.8308, respectively. To illustrate the influence of independent variables, the SHAP algorithm is used to analyze the model's feature importance. It was found that illumination and weather conditions influenced the model's performance along with the vehicle length. The number of lanes relates to driving style, and there were more aggressive driving behaviors on two-lane roads than on single-lane roads. Besides, heavy-duty vehicle drivers were more likely to drive aggressively in wet road conditions and indulge in aggressive driving behaviors at night. Particularly, drivers of heavy-duty vehicles were more likely to drive aggressively, provided that the vehicle in front was also a heavy-duty vehicle. These findings inform heavy-duty vehicle drivers to reduce aggressive driving behavior. The information is suitable for inclusion in driver education programs, thus improving traffic safety.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 3","pages":"177-189"},"PeriodicalIF":2.4,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139243761","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

Mental workload evaluation model of receiver aircraft pilots based on multiple resource theory 基于多重资源理论的接收机飞行员心理工作量评估模型

IF 2.4 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2023-10-24 DOI: 10.1002/hfm.21018

Huining Pei, Yujie Ma, Wenhua Li, Xinyu Liu, Chuyi Zhang

引用次数: 0

Hierarchical task analysis as a systems mapping tool in complex health care environments: Emergency department response to chemical, biological, radiological, and nuclear events 将层次任务分析作为复杂医疗环境中的系统映射工具：急诊科对化学、生物、放射和核事件的响应

IF 2.4 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2023-10-17 DOI: 10.1002/hfm.21016

Saydia Razak, Sue Hignett, Jo Barnes, Graham Hancox

{"title":"Hierarchical task analysis as a systems mapping tool in complex health care environments: Emergency department response to chemical, biological, radiological, and nuclear events","authors":"Saydia Razak, Sue Hignett, Jo Barnes, Graham Hancox","doi":"10.1002/hfm.21016","DOIUrl":"10.1002/hfm.21016","url":null,"abstract":"The emergency department (ED) is at the forefront of the chemical, biological, radiological, and nuclear (CBRN) response. This study adopted a multilevel systems approach using the human factors/ergonomics (HFE) method of hierarchical task analysis (HTA) with document analyses of CBRN plans to represent work-as-Imagined. Work-as-imagined was compared with data from semistructured interviews using prompt cards for CBRN scenarios (n = 57) representing work-as-done. The aim was to provide methodological evidence for the use of HTA with an empirical synthesis of the ED in response to CBRN events. HTA was the preferred systems mapping tool because it aligns with a systems thinking approach, allows multiple-level comparisons, highlights variability, and has an established usability track record. This study demonstrates the usability of HTA in the context of the ED responding to a CBRN event. The findings for core CBRN concepts included (1) liaise and communicate, (2) isolate and contain, and (3) personal protective equipment.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 2","pages":"147-158"},"PeriodicalIF":2.4,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.21016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136033227","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}

引用次数: 0

Operator visual attention allocation prediction in a robotic arm teleoperation interface 机械臂远程操作界面中操作员视觉注意力分配预测

IF 2.4 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2023-10-10 DOI: 10.1002/hfm.21017

Yueqi An, Cong Zhang, Changhua Jiang, Wenhao Zhan, Jianwei Niu

{"title":"Operator visual attention allocation prediction in a robotic arm teleoperation interface","authors":"Yueqi An, Cong Zhang, Changhua Jiang, Wenhao Zhan, Jianwei Niu","doi":"10.1002/hfm.21017","DOIUrl":"10.1002/hfm.21017","url":null,"abstract":"In digital interactive interfaces with high visual workloads, it is important for operators to allocate their limited attentional resources appropriately to ensure efficient information collection. The salience, effort, expectancy, value (SEEV) model, which combines top-down and bottom-up attention mechanisms for predicting attention allocation, has been validated in research areas such as piloting, driving, and surgical operations. However, the validity of the SEEV model in the field of robotic arm teleoperation has not yet been thoroughly studied. The primary purpose of this study was to confirm the feasibility of the SEEV model for operator visual attention allocation prediction in a robotic arm teleoperation scenario. The improved ITTI algorithm, distance-measuring tool, Delphi method, and lowest ordinal algorithm were adopted to qualify the four factors of the SEEV model, which also contributed to salience and expectancy quantification methods. Accordingly, an attention allocation prediction model in a robotic arm teleoperation scene was constructed. To verify the validity of the prediction model, 20 participants were recruited to control the robotic arm using V-REP simulation software, and their fixation durations were recorded using an eye tracker as an attention allocation indicator. Participants controlled the robotic arm according to the experimental requirements and operational tasks, such as grasping and placing the target. The results demonstrated that the theoretical data based on the SEEV prediction model are significantly related to the proportion of fixation durations. The experiment verifies the suitability of the SEEV prediction model, and it is anticipated to be utilized in the optimization of interactive interfaces for robotic arm teleoperation.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 2","pages":"132-146"},"PeriodicalIF":2.4,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136358983","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

Identification of aggressive driving behavior of online car-hailing drivers based on association classification 基于关联分类的网约车司机攻击性驾驶行为识别

IF 2.4 3区工程技术

Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2023-10-04 DOI: 10.1002/hfm.21015

Ying Wu, Shuyan Chen, Yongfeng Ma, Wen Cheng, Fangwei Zhang, Guanyang Xing

{"title":"Identification of aggressive driving behavior of online car-hailing drivers based on association classification","authors":"Ying Wu, Shuyan Chen, Yongfeng Ma, Wen Cheng, Fangwei Zhang, Guanyang Xing","doi":"10.1002/hfm.21015","DOIUrl":"10.1002/hfm.21015","url":null,"abstract":"With the rapid development of online car-hailing, the related crashes have become a key issue with public concern. Identifying and predicting aggressive driving behaviors is critical to reduce traffic crashes. In this study, we propose a method to recognize aggressive driving behavior based on association classification, with multisource features being employed, including driver emotion, vehicle kinematic characteristics, and road environment. The model performs best in a 10-fold cross-test when the minimum support and minimum confidence are set as 0.01 and 0.8, respectively. Besides, we also compare the performance of aggressive driving behavior recognition classifiers constructed using association classification with other rule-based classification methods, including ID3, C4.5, CART, and Random Forest. The results show that association classification performs better than other classification competitors. Thirty-six if–then rules generated by the association classification are used to analyze the influencing factors and associated mechanisms of aggressive driving behavior. It is found that aggressive driving behavior is highly correlated with driver anger and disgust emotions. Aggressive driving behavior is more likely to occur when no passengers are in the car than the case with passengers. Driver entertainment behavior and passenger interference also affect driving behavior. Moreover, drivers are prone to aggressive driving when making a U-turn. This research not only proposed a new identification method for aggressive driving behavior but also provided a comprehensive understanding of the associated influencing factors which thus benefit the further research and development of safety assistance driving devices.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 2","pages":"118-131"},"PeriodicalIF":2.4,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135591212","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