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

{"title":"Effect of human–machine interface infotainment systems and automated vehicles on driver distraction","authors":"Elahe Abbasi,&nbsp;Yueqing Li,&nbsp;Yi Liu,&nbsp;Ruobing Zhao","doi":"10.1002/hfm.21049","DOIUrl":"https://doi.org/10.1002/hfm.21049","url":null,"abstract":"<p>Driver distraction is intricately linked to human behavior and cognitive ergonomics, as it explores how human engagement with various stimuli influences attention and decision-making processes while driving. The main purpose of this study is to comprehensively explore whether using Human–Machine Interface infotainment systems in automated vehicles can affect driver distraction. To this end, driver distraction was measured by driving performance features (speed, lane position, and reaction time), behavioral features (fixation time and pupil dilation), physiological features (changes in oxyhemoglobin), and subjective assessment (NASA-TLX workload). Twenty-one participants equipped with an eye tracker and functional near-infrared spectroscopy drove a driving simulator in the current investigation. The results revealed that interacting with the infotainment systems significantly affects the drivers' average speed (<i>F</i>_2,40 = 13.60, <i>p</i> &lt; .0001), reaction time (<i>F</i>_2,40 = 4.74, <i>p</i> = .0142), fixation time (<i>F</i>_2,40 = 88.61, <i>p</i> &lt; .0001), pupil dilation (<i>F</i>_2,28 = 3.63, <i>p</i> = .0356), and workload (<i>F</i>_2,40 = 14.40, <i>p</i> &lt; .0001). Moreover, driving mode significantly affects drivers' speed deviation (<i>F</i>_2,40 = 6.12, <i>p</i> = .0048), standard deviation of lane position (<i>F</i>_2,40 = 10.57, <i>p</i> = .0002), fixation time (<i>F</i>_2,40 = 36.71, <i>p</i> &lt; .0001), and workload (<i>F</i>_2,40 = 28.08, <i>p</i> &lt; .0001). Drawing from the findings of this article and emphasizing human-centric design principles, researchers and engineers can craft automotive technologies that are intuitive, effective, and safer. This is vital for mitigating driver distraction and guaranteeing the beneficial influence of automated vehicles on both road safety and the overall driving experience.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 6","pages":"558-571"},"PeriodicalIF":2.2,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142434991","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":"Improving safety in complex systems: A review of integration of functional resonance analysis method with semi-quantitative and quantitative approaches","authors":"Ashish Kumar,&nbsp;Rahul Upadhyay,&nbsp;Biswajit Samanta,&nbsp;Ashis Bhattacherjee","doi":"10.1002/hfm.21050","DOIUrl":"https://doi.org/10.1002/hfm.21050","url":null,"abstract":"<p>Functional resonance analysis method (FRAM) is extensively employed in analyzing and managing performance variabilities. Additionally, semi-quantitative and quantitative methods have been increasingly integrated with the FRAM to analyze complex socio-technical systems to improve safety levels. This review article presents a comprehensive and updated survey of current literature focused on semi-quantitative and quantitative methods employed for quantifying performance variabilities and exploring aggregation/propagation rules. A total of 1659 studies published between 2012 and March 2024 from various scientific databases were systematically examined using preferred reporting items for systematic review and meta-analysis, identifying 29 studies that met inclusion criteria. The identified studies were categorized into four groups based on the quantitative methods employed: Monte Carlo simulation, fuzzy logic, cognitive reliability and error analysis method, and miscellaneous approaches. While different methodologies had unique strengths, they commonly relied on expert judgment for data collection, whether for defining probability distributions in Monte Carlo simulations, membership functions, and fuzzy rule bases in fuzzy inference systems, or selecting common performance conditions, determining their interrelationships, and assigning scores. Addressing bias from expert judgment in assessing performance variabilities can be achieved by using suitable experts' opinions integration techniques, and leading safety indicators in the analysis.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 6","pages":"572-588"},"PeriodicalIF":2.2,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.21050","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142434992","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":"How to spark team flow over time","authors":"Jef J. J. van den Hout,&nbsp;Orin C. Davis,&nbsp;Siem Buseyne","doi":"10.1002/hfm.21048","DOIUrl":"https://doi.org/10.1002/hfm.21048","url":null,"abstract":"<p>An important question in teamwork research is how to maximize performance and the aspects of the team's dynamics and collaboration process that underpin it. Prior research has shown that when team members who are collaborating towards a common purpose experience flow together (<i>team flow; optimal experiences that occur simultaneously at the individual and team levels, entailing deep focus and intrinsic motivation to perform an activity</i>), the team significantly improves its performance and team members experience many positive results at both the individual and team levels. Further advances have built a model of team flow and a means for measuring the construct, as well as qualitative results in business teams to confirm how the elements of team flow interact to generate the positive experiences and higher performance. This study adds practical value to the research by providing proof-of-concept for an intervention that promotes team flow in business teams. This cross-case-study of 15 teams across five different organizations uses the Team Flow Monitor as a barometer of team health and dynamics, which in turn serves as the centerpiece of an iterative intervention protocol for leading/guiding teams in targeted self-reflection that can generate virtuous cycles of improving dynamics and performance. In addition to a significant amount of qualitative data confirming the efficacy of the intervention in enabling teams to overcome obstacles and experience more team flow, quantitative analysis of Team Flow Monitor scores showed an increase on average team flow scores across the teams over the course of the intervention (Cohen's <i>d</i> = 0.6). Implications for translating team flow research to field situations are discussed, along with further potential uses of the Team Flow Monitor.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 6","pages":"540-557"},"PeriodicalIF":2.2,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.21048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435802","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":"Research on the influence and evaluation of manual operation performance of multifunctional operation panel considering interaction effect","authors":"Tianming Zhang,&nbsp;Jindong Ren,&nbsp;Mingzhe Sun,&nbsp;Haoyun Zheng","doi":"10.1002/hfm.21047","DOIUrl":"10.1002/hfm.21047","url":null,"abstract":"<p>Manual operations remain crucial in critical human-machine interactions due to limitations in automatic control algorithms and technologies. While ergonomic analysis and evaluation techniques for interactive interfaces are advancing, recent approaches emphasize integrating graphical interface experiences with intuitive controls. Conventional methods often lack precision or overlook the interaction effect of different influencing factors, leading to inadequate assessment of essential manual operations for intricate interfaces, such as multifunctional operation panels. To address these challenges, this study aimed to investigate the interaction effects of various factors on the manual operation performance of operators when using a multifunctional operation panel and aims to develop a more comprehensive and broadly applicable evaluation model for such panels. An experiment was designed to consider the type, size, layout of controls, and operational task type as the main factors affecting manual operation performance. Multivariate analysis of variance was used to identify significant interaction effects among the operation factors. The findings underscored the importance of these interactions in evaluating manual operation performance. Multivariate linear regression further examined the influence of these factors, enhancing the evaluation methodology. The study emphasizes the critical role of understanding interaction effects in assessing the manual operation performance of multifunctional operation panels, particularly in improving the design of the panel or operation tasks.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 6","pages":"527-539"},"PeriodicalIF":2.2,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141686833","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":"Resources for action and organizational resilience in times of COVID-19: A study in health care","authors":"Angela Weber Righi,&nbsp;Priscila Wachs,&nbsp;Natália Ransolin,&nbsp;Vanessa Becker Bertoni","doi":"10.1002/hfm.21045","DOIUrl":"https://doi.org/10.1002/hfm.21045","url":null,"abstract":"<p>The COVID-19 pandemic challenged health care organizations to cope with major disruptions, especially in the first waves. Several investigations were undertaken to understand how to support resilience during similar unexpected events. In this study, we attempted to unveil the resilient performance of health care organizations during the first waves of the COVID-19 pandemic from the viewpoint of resources for action. Thus, the research objectives are twofold: (i) to evaluate organizational resilience in facing COVID-19 by hospitals in Brazil and (ii) to evaluate the relationship between resources for action and resilient performance. Firstly, an online survey was sent to front-line health care workers, resulting in 111 responses. Then, a questerview was undertaken through online interviews with some participants of the previous phase. Resources for action were interpreted as five aspects supporting decision-making in health care organizations: information and communication; team, equipment, and tools; standard operating procedure (SOP); training; and built environment. Each resource was then unfolded based on the four potentials for resilient performance (i.e., anticipate, monitor, respond and learn). Respondents strongly agreed that their institutions are resilient (<i>M</i> = 4.15; standard deviation [SD] = 0.91). The potentials to learn (<i>M</i> = 4.23; SD = 0.96) and respond (<i>M</i> = 4.08; SD = 1.02) stood out, followed by monitoring (<i>M</i> = 3.85; SD = 1.07) and anticipating (<i>M</i> = 3.70; SD = 1.11). Although some differences stand out, findings corroborate with the joint performance of the resources for action to support resilience performance. Information and communication were the most present among the resources for action (<i>M</i> = 4.20). Making resources for action visible is a strategy for designing resilient systems, as it can be considered a bridge linking different resilience levels (micro, meso, and macro). Suggestions for future studies point out the need to promote the development and evaluation of resources for action in health care institutions.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 6","pages":"516-526"},"PeriodicalIF":2.2,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.21045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435461","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":"Effect of ergonomic aspects on single- and multiproduct assembly-line balancing problems","authors":"Mena Puthiyaveedu Giridhar,&nbsp;Vinay V. Panicker","doi":"10.1002/hfm.21046","DOIUrl":"10.1002/hfm.21046","url":null,"abstract":"<p>Incorporating ergonomic considerations into an assembly-line balancing problem (ALBP) enhances productivity and minimizes ergonomic concerns. The assembly process, characterized by repetitive motions and handling numerous components, can lead to worker overload. Consequently, the inclusion of ergonomic aspects results in an appropriate distribution of assembly operations and relative workloads. This study investigates a multi-objective ALBP aimed at minimizing the number of workstations, overall skill level required, and variance in workers' energy expenditure across workstations. To address the ALBP while considering the ergonomic aspects, this study proposes an approach based on the non-dominated sorting genetic algorithm II (NSGA-II) and multi-objective simulated annealing (MOSA) using Pareto optimality. A comparative analysis of the NSGA-II and MOSA is conducted in single- and multiproduct production scenarios, and a computational study involving various factors is performed to identify the dominant algorithm. The computational analysis indicates that the runtime performance of MOSA is 73.287% better than that of NSGA-II; therefore, MOSA outperforms NSGA-II. This study aims at applying scientific knowledge concerning manufacturing ergonomics to assist manufacturing industries in enhancing their productivity.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 6","pages":"491-515"},"PeriodicalIF":2.2,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141343149","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":"Biomechanics-based study of muscle activation under different driving conditions for Chinese percentiles","authors":"Mingyue Li,&nbsp;Biao Li,&nbsp;Guoying Chen,&nbsp;Bao Huading,&nbsp;Chongyue Shi,&nbsp;Fei Yu","doi":"10.1002/hfm.21043","DOIUrl":"https://doi.org/10.1002/hfm.21043","url":null,"abstract":"<p>In this paper, we determined the adjustment levels of the human–machine layout under the preferred driving posture for individuals with different body sizes. We also comparatively analyzed the maximum activation levels of various muscles under straight-line driving and steering conditions. To increase the accuracy of the results, AnyBody biomechanics software was used to establish a human skeletal muscle mechanics model, which we analyzed for consistency with rig test results. The results showed that people with larger body sizes preferred a driving position with the seat reclined back. Steered driving was associated with a significant (<i>p</i> &lt; .05) increase in the maximum activation of the wrist extensors, serratus anterior, deltoid, and triceps brachii, which are the main force-generating muscle groups for steered driving, compared with straight driving. Moreover, the measured and simulated results of maximum muscle activation were relatively consistent, with the error between them within a 15% margin. In summary, this study explored the relationship between different driving conditions and preferred driving postures from a biomechanical perspective. A combined experimental and simulation approach was adopted to ensure the reliability of the findings. The insights from this study can inform ergonomic considerations for the comfort and health of Chinese drivers with varying physical characteristics.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 6","pages":"481-490"},"PeriodicalIF":2.2,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435775","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":"Wearing a breathable T-shirt does not affect thermoregulatory responses during exercise under hot conditions","authors":"Hanano Kato,&nbsp;Yumi Okamoto,&nbsp;Junto Otsuka,&nbsp;Kazuya Tajima,&nbsp;Atsushi Shiraishi,&nbsp;Ai Shiramoto,&nbsp;Tatsuro Amano","doi":"10.1002/hfm.21044","DOIUrl":"https://doi.org/10.1002/hfm.21044","url":null,"abstract":"<p>Sweat absorbed by clothing forms a moisture film on fabric surfaces, reducing fabric breathability and disrupting thermoregulation during exercise in a hot environment. We investigated whether T-shirts made from a newly developed fabric with hydrophobic and water-repellent fibers near the through holes could prevent sweat film formation, thereby enhancing intraclothing microclimate and thermoregulatory responses. Thirteen male runners completed 30-min treadmill sessions at moderate and high intensities while wearing either the new fabric T-shirt (Dry Aeroflow, DAF) or a polyester T-shirt (CONT) at an ambient temperature of 32°C and a relative humidity of 50% with an air velocity of 0.8 m/s. Compared with CONT, intraclothing humidity was decreased on the chest and back, and chest but not back skin temperature was decreased by 2°C in DAF. However, thermoregulatory key variables such as rectal temperature, mean skin temperature, sweat rates, and heart rate did not differ between the T-shirts. We concluded that the a T-shirt with enhanced breathability does not affect overall thermoregulatory response during exercise in the heat despite the partial improvements in intraclothing microclimate and in reducing local skin temperature.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 6","pages":"471-480"},"PeriodicalIF":2.2,"publicationDate":"2024-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435801","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":"Taxonomy of performance shaping factors in manufacturing: A systematic literature review","authors":"Prameet Ranjan Jha,&nbsp;Valentina Di Pasquale,&nbsp;Jason J. Saleem,&nbsp;Xiaomei Wang","doi":"10.1002/hfm.21036","DOIUrl":"10.1002/hfm.21036","url":null,"abstract":"<p>Human error in manufacturing can have substantial consequences, including loss of life, injuries, productivity, and financial losses. Human reliability analysis (HRA) methods can be used to evaluate the likelihood of human error in manufacturing tasks and identify potential sources of error. Performance shaping factors (PSFs) are internal and external factors that influence human performance and can affect the likelihood of human reliability estimates in HRA methods. Understanding the impact of PSFs on human performance in manufacturing is essential for developing effective strategies to minimize the likelihood of human error and improve the safety and efficiency of manufacturing processes. This systematic review scrutinizes the literature on PSFs within manufacturing, highlighting HRA applications. Using the PRISMA protocol, studies from 2000 to 2024 across engineering and psychology were examined, culminating in the analysis of 35 pertinent works. The review identifies and contrasts various PSF taxonomies from established HRA methods like SPAR-H, HEART, CREAM, and THERP, revealing their diverse applications in different manufacturing settings. The review also uncovers a tendency to devise taxonomies through the lens of experts' domain knowledge, particularly tailored to discrete manufacturing contexts. A critical gap is observed in the lack of a uniform PSF framework, with the current literature reflecting a disparate understanding of PSFs' roles, definitions, and interrelations. This absence is further pronounced by the inadequate integration of human factors in the dialogue surrounding Industry 4.0. The analysis points to the necessity of harmonizing PSFs to better assess human reliability amid technological integration. The findings emphasize the need for an industry-specific PSF framework that aligns with the intricacies of manufacturing operations, thus enabling more accurate HRA outcomes and informing strategies for error reduction and process optimization.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 5","pages":"367-385"},"PeriodicalIF":2.2,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140985511","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":"Beyond blame: A systemic accident analysis through a neutralized human factors taxonomy","authors":"Elena Stefana,&nbsp;Emanuele De Paola,&nbsp;Carlo Simone Snaiderbaur Bono,&nbsp;Francesco Bianchini,&nbsp;Tommaso Vagheggi,&nbsp;Riccardo Patriarca","doi":"10.1002/hfm.21035","DOIUrl":"10.1002/hfm.21035","url":null,"abstract":"<p>This paper investigates the usage of a systemic neutralized taxonomy for understanding human factors to foster a restorative culture when studying adverse events. The available studies supporting accident analysis from a system-theoretic perspective with human factors-based methods are grounded on error taxonomies and do not reinforce the non-judgemental dimension that is encouraged by modern safety science. We propose a methodology to integrate the system-theoretic accident analysis technique, Causal Analysis based on System Theory, with a neutralized taxonomy of human explanatory factors. The proposed methodology has been applied to an aviation accident involving a military aircraft and a glider. This case revealed various critical interactions among system components, which require dedicated safety recommendations that go beyond the identification of single points of failures and root causes, leading to a deeper understanding of socio-technical orchestrations. Despite the use case in aviation, the proposed methodology remains suitable for various types of safety occurrences in diverse domains and industrial settings. It also represents the basis for supporting future proactive safety-related decision-making processes.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 5","pages":"450-465"},"PeriodicalIF":2.2,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140685223","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}