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

{"title":"Risk early warning indicators for air traffic controllers' unsafe acts","authors":"Ruihua Xu,&nbsp;Fan Luo,&nbsp;Fenghua Zhou,&nbsp;Gaoming Chen","doi":"10.1002/hfm.20948","DOIUrl":"10.1002/hfm.20948","url":null,"abstract":"<p>The establishment of an early warning indicator system is the foundation and the key to prevent the unsafe acts of air traffic controllers (ATCers). Therefore, the objective of this study is to determine the early warning indicators for controllers' unsafe acts. Data were encoded through grounded theory and HFACS, and the early warning indicator system was designed. The parameter values were calculated by using the data collected from the expert questionnaire survey. Combining the existing safety performance indicators and expert opinions, the measurement and judgment of indicators were clarified. The results show that the early warning indicator system includes four levels: environment, organization, supervision and ATCers. Among the indicators, the mean values of “degree of job skills mastered,” “intensity of working load,” “lack of safety awareness and responsibility” rank the first three. Based on the findings of this study, the unsafe acts of ATCers can be effectively alerted.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90196153","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":"Coping with complexity in the COVID pandemic: An exploratory study of intensive care units","authors":"Tarcisio Abreu Saurin,&nbsp;Priscila Wachs,&nbsp;Wagner Pietrobelli Bueno,&nbsp;Ricardo de Souza Kuchenbecker,&nbsp;Márcio Manozzo Boniatti,&nbsp;Carolina Melecardi Zani,&nbsp;Robyn Clay-Williams","doi":"10.1002/hfm.20947","DOIUrl":"10.1002/hfm.20947","url":null,"abstract":"<p>Although the COVID pandemic has challenged the resilience of health services in general, this impact has been most visible in intensive care units (ICUs). This paper presents an exploratory study of how ICUs in Brazil have coped with the complexity stemming from the pandemic. Five guidelines for coping with complexity were adopted as analytical framework. The guidelines were concerned with slack resources, diversity of perspectives, visibility, work-as-done, and unintended consequences. There were three main sources of data: (i) a survey with respondents from 33 ICUs, which indicated their agreement with 23 statements related to the use of the complexity guidelines; (ii) semistructured interviews with seven survey respondents and two public health officials; and (iii) 20 h of observations of the meetings of a municipal bed management committee. Seventy resilience practices were identified from these data sources. Most of these practices (<i>n</i> = 30) were related to the guideline on slack resources, which were commonly obtained from other hospital units. As for the survey data, the statement related to the availability of extra or standby human resources obtained the lowest score, reinforcing the key role of slack resources. Five lessons learned for coping with complexity in ICUs were drawn from our data; one lesson for each guideline. Furthermore, the survey questionnaire is a potential ICU assessment tool, which can be adapted to other health services.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.20947","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44291296","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 surface electromyography signals to predict fatigue in Longissimus thoracis and Iliocostalis Cervicis muscles: A statistical model","authors":"Hamed Salmanzadeh,&nbsp;Maryam Doroodi","doi":"10.1002/hfm.20946","DOIUrl":"10.1002/hfm.20946","url":null,"abstract":"<p>Given that people in many jobs suffer from intense pressure being imposed on their muscles, work-related disabilities such as musculoskeletal disorders have turned into a major concern in industrial countries. Considering the significant financial and physical burden these disorders can put on people and society as a whole, preventing these issues seems more reasonable than remedying them. In this respect, there is a need for further studies concerning the prediction of muscle fatigue and activity under different working conditions. Accordingly, the present study considers an important aspect of this issue by focusing on postures in which the workers do not have access to the work station in the frontal direction. More specifically, the main purpose of this study is to present a statistical model to predict muscle fatigue, for which electromyographic signals are collected from the muscles of individuals while working at a simulated workstation, according to which the activities of the Longissimus thoracis and Iliocostalis Cervicis muscles are evaluated. Afterward, the wavelet transform is employed via Rbio 3.1 function at seven levels to process the collected signals, followed by using the normal mean absolute value index for feature extraction. Finally, some statistical models are created by the generalized estimating equation method. According to the results, posture factors, assembly cycle time, and rest intervals between cycles, which are variables, revealed significant impacts (<i>p </i>&lt; .05) on muscle fatigue. It should be mentioned that the most suitable levels of the mentioned variables are also determined based on the Taguchi design of the conducted experiments. The presented statistical models can be used for designing and comparing workstations with respect to pressure on muscles for more effectively assigning workstations to employees, planning, and scheduling work cycles, and designing industrial machinery.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81943574","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":"Acknowledgments","authors":"","doi":"10.1177/00187208211050913","DOIUrl":"https://doi.org/10.1177/00187208211050913","url":null,"abstract":"","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84662217","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":"Novel approach to estimate endurance limits in intermittent tasks","authors":"Jiawei Fu,&nbsp;Qidi Zhang,&nbsp;Liang Ma","doi":"10.1002/hfm.20945","DOIUrl":"10.1002/hfm.20945","url":null,"abstract":"<p>Endurance limit is essential for intermittent physical operations, as physical task designs with inappropriate endurance estimation could potentially lead to work-related musculoskeletal disorders (WMSDs). Here, we propose a general approach to estimate the endurance limits of the duration and workload in intermittent operations, namely the endurance time (ET) and maximum acceptable exertion (MAE). This general endurance limit approach was developed based on physiology-based muscle fatigue and recovery models, considering task parameters and individual fatigue attributes. This approach was preliminarily validated by (1) conducting experimental studies to check the feasibility of predicting individual and group ETs in simplified isometric intermittent operations, and (2) demonstrating its utility in interpreting existing empirical MAE models and their experimental results. The findings suggest that the proposed model offers a promising approach to estimate the endurance limits in intermittent physical operations, and could help future studies aimed at modeling the relationship between endurance limits and intermittent task characteristics.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81984663","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":"Pilot decision-making during a dual engine failure on take-off: Insights from three different decision-making models","authors":"Katie J. Parnell,&nbsp;Rachael A. Wynne,&nbsp;Katherine L. Plant,&nbsp;Victoria A. Banks,&nbsp;Thomas, G.C. Griffin,&nbsp;Neville A. Stanton","doi":"10.1002/hfm.20944","DOIUrl":"10.1002/hfm.20944","url":null,"abstract":"<p>Commercial airline pilots are required to make efficient, justifiable, and safety-critical decisions when faced with adverse events such as engine failures. Although these are rare events, the consequences are severe, and the pilot response is critical. This paper reviews pilot decision-making when faced with a dual engine failure on take-off using three different decision models; the Recognition Primed Decision Model, Decision Ladders and the Perceptual Cycle Model. In-depth interviews with eight experienced airline pilots were conducted to capture their decision-making processes in response to a dual engine failure on take-off event. The analysis of these interviews using the three different decision models provide recommendations for a proposed decision assistant. The different decision models are discussed in relation to the insight they can bring to developing a future decision assistant tool within the flight deck of commercial aircraft.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81184661","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":"Special issue on human factors and ergonomics methods","authors":"Neville A. Stanton","doi":"10.1002/hfm.20943","DOIUrl":"10.1002/hfm.20943","url":null,"abstract":"The human factors and ergonomics (HFE) professional has access to a diverse and flexible toolkit of HFE methods. These include well over 100 structured HFE methods available for designing and evaluating aspects of device, operator, team, organization, and system performance (Stanton et al., 2013, 2014). As well as informing the design of devices, tools, and environments, these methods allow the HFE practitioner to contribute to the design of policies, procedures, training and education programs, to risk and safety management via activities such as risk assessment, incident reporting, and accident analysis, and to the development of national and international regulatory frameworks. The changing nature of work and increasing use of technologies such as artificial intelligence, robotics, and big data are raising questions about the utility of HFE methods. In addition, there are various ongoing issues relating to HFE methods, such as reliability and validity and a research–practice gap. As a result, there is a large body of ongoing work involving the development, testing, and application of both existing and new HFE methods. The aim of this special issue is to provide researchers and practitioners with an opportunity to present research and papers focused specifically on HFE methods (e.g., methodological development, validation, and comparisons) and discuss current and future issues. Accordingly, we welcomed submissions from all aspects of the HFE discipline including physical, physiological, psychophysiological, psychological, cognitive, social, and organizational ergonomics. The first paper in the SI tackles the methodological challenges faced by researchers and practitioners head‐on (Salmon et al., 2022: Methodological issues in systems HFE: Perspectives on the research–practice gap, reliability and validity [of HFE methods], and prediction [of the behavior of individuals, teams, organizations and sociotechnical systems]). Human factors researchers with between 4 and 36 years experience (from postdoctoral research fellows to full professors) of applying human factors methods debate a series of questions about the research‐practice gap. As might be expected, there is a good‐natured, but hot debate, argument regarding these issues. None of the issues received complete agreement as shown in the summary tables. The majority saw a significant research‐practice gap, which is perhaps not too surprising. For most, if not all, disciplines it can take 10–20 years before research becomes common practice, so why should HFE be any different? Perhaps more could be done to reduce this time gap by both researchers and practitioners, such as the partnership approach advocated in the paper. The second debate questioned whether HFE methods require evidence of reliability and validity. Again there was a mixed response, but the majority of responses suggested that this was a necessity particularly if the methods are being used for safety‐critical assessments. The fina","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.20943","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88690335","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":"Usability evaluation of augmented reality-based maintenance instruction system","authors":"Chao-Hung Wang,&nbsp;Wei-Jen Lo,&nbsp;Mao-Jiun J. Wang","doi":"10.1002/hfm.20942","DOIUrl":"10.1002/hfm.20942","url":null,"abstract":"<p>This article presents an augmented reality-based instruction (ARBI) system for maintenance tasks. A traditional manual instruction method and a computer-assisted instruction method were compared. Three maintenance instruction methods, three task difficulty levels (low, medium, and high), and the user's gender (male and female) were specified as the independent variables in the experimental design. The dependent variables included task completion time and error rate as objective measures, and system usability scale (SUS) and NASA-task load index (NASA-TLX) scores as subjective measures. There were 30 participants (15 males and 15 females) in the experiment. The results indicated that the instruction method and task difficulty significantly affected the task completion time, error rate, SUS, and NASA-TLX. Among the instruction methods, the ARBI method exhibited the highest SUS score, lowest NASA-TLX score, shortest task completion time, and minimum error rate. In conclusion, the proposed ARBI method was beneficial for assisting iPhone maintenance tasks.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82359906","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":"Ergonomic evaluation and field validation of the insole padding system","authors":"Yu-Chi Lee,&nbsp;Mao-Jiun Wang","doi":"10.1002/hfm.20941","DOIUrl":"10.1002/hfm.20941","url":null,"abstract":"<p>Insoles are typically worn to increase comfort in performing daily activities. Many studies have investigated the effects of insoles with different properties. This study performed an ergonomic evaluation of three insole types, with a focus on assessing the effectiveness of an insole padding system (IPS). The objectives of this study were (1) to perform an ergonomic evaluation of three insoles and (2) to perform a field validation study to examine the effectiveness of IPS wearing among nurses. The study involved two phases. In the first phase, 15 healthy females participated in an experiment evaluating three insoles (general flat insole, ergo-insole, and IPS). The outcome measurements were electromyography activity of four muscles, plantar pressure distribution in seven zones, and subjective discomfort rating. In the second phase, 100 nurses were recruited for the Nordic Musculoskeletal Questionnaire survey and 43 nurses participated in the field evaluation study. The results indicated that walking with the IPS was associated with lower plantar pressures in the midfoot and heel regions. Participants who wore ergo-insole and IPS exhibited lower overall subjective discomfort ratings. Lower-extremity discomfort was significantly improved after wearing the IPS for 2 weeks. The findings of this study suggest that walking with the IPS can result in less discomfort in the lower extremities than walking with the conventional insoles. IPS wearing is effective in improving lower-extremity discomfort in persons who require prolonged standing and walking in daily life.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85211839","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 vibration and target size on the use of varied computer input devices in basic human-computer interaction tasks","authors":"Hailiang Wang,&nbsp;Da Tao,&nbsp;Jian Cai,&nbsp;Xingda Qu","doi":"10.1002/hfm.20938","DOIUrl":"10.1002/hfm.20938","url":null,"abstract":"Pointing and dragging are fundamental actions by input devices when interacting with computer graphical user interfaces (GUIs). Cockpits on modern vehicles have been increasingly equipped with GUIs, enabling pointing and dragging tasks to be frequently performed under vibration conditions. However, factors influencing these fundamental actions under vibration conditions have not been fully explored. This study aimed to explore the effects of vibration, input devices, and target size on the performance and perceived workload in basic human–computer interaction tasks. Twenty‐seven participants completed an experiment where they were required to conduct two pointing tasks and one dragging‐and‐dropping task using four input devices (mouse, touchscreen, trackball, and remote hand‐controller) under static and three vibration conditions (lateral, fore‐and‐aft, and omnidirectional vibration) with two target sizes (small and large). The results indicated that vibration caused longer task completion time, higher error rates, and more workload in completing pointing and dragging tasks. Both target size and input device affected task performance in vibration environments. Highest workload was perceived when using remote hand‐controller, followed by trackballs under all vibration conditions; there was no significant difference between mouse and touchscreen, except in terms of physical demand. The findings suggest that practitioners should fully consider the joint effects of input device, target size, and vibration to counteract adverse influence of vibration and optimize user interface designs of human‐computer systems in vibration environments.","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87803887","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}