{"title":"Converting laundry work of women in underdeveloped countries from risk of musculoskeletal disorders to a sustainable intervention: A design with holistic approach","authors":"Banu Ç. Avcıoğlu, Hüdayim Başak","doi":"10.1002/hfm.21034","DOIUrl":"10.1002/hfm.21034","url":null,"abstract":"<p>More than half of the population in impoverished areas around the world, which lack sufficient energy and water, do not have washing machines. Due to a lack of resources and economic reasons, the mechanical task of modern washing machines requiring electrical energy can only be done through hand washing. Additionally, water fetching and laundry work are predominately assigned to women due to socio-cultural dynamics in disadvantaged areas. The repetitive motions involved in washing over extended periods of time, coupled with awkward body positions, often lead to musculoskeletal disorders in women. This study aims to improve women's work safety and living conditions through a product design for laundry washing. First, the ergonomic risk associated with women's body postures while washing clothes on the floor was evaluated to better understand the impact of the intervention and rapid upper extremity assessment (RULA) method was used for this purpose. Subsequently, the design process for a manual washing product, which operates without electricity, can handle bulk laundry and facilitates easier and more ergonomic work instead of directly scrubbing clothes, was initiated as a remedial intervention. Recognizing that laundry work is a multidimensional experience in women's lives beyond its ergonomic aspects, a holistic design methodology was adopted, incorporating various design approaches to create concepts that better integrate with the lives of woman users. Insights gained from these design approaches were then combined with the conceptual design method to generate design proposals. At the end of the study, the developed manual washing machine design performed improved RULA analysis scores and biomechanical loading outcomes compared to hand washing.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 5","pages":"434-449"},"PeriodicalIF":2.2,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140223473","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}
Gaizka Insunza, Aitor Basañez, Jon Iradi, Juan Carlos Aldasoro, Maria Luisa Cantonnet
{"title":"The profession of occupational health and safety technician: Does gender matter?","authors":"Gaizka Insunza, Aitor Basañez, Jon Iradi, Juan Carlos Aldasoro, Maria Luisa Cantonnet","doi":"10.1002/hfm.21033","DOIUrl":"10.1002/hfm.21033","url":null,"abstract":"<p>Workers' health and safety, and equality between men and women are two of the main challenges currently facing the labor framework in Spain. Despite the fact that the different risks faced by men and women have been widely studied, the way in which gender can affect the working conditions and career development of occupational health and safety (OHS) technicians has hardly been investigated. To delve into this aspect, a study has been carried out by conducting semistructured interviews with six women who work as OHS technicians and a survey among OHS technicians in the Basque Country (Spain) with 124 responses. The results suggest that there are differences between men and women both in the conditions and in the career development of the OHS technician profession. These differences appear in various thematic blocks such as empowerment, recognition, or aspirations. Women tend to be more skeptical than men on gender equality issues such as the idea of equal promotion opportunities for men and women, or the notion that men's and women's ideas are equally valued, or the way in which having children affects men and women's aspirations. It is very important to reduce these gender differences to achieve a more efficient work environment, which can lead to more efficient OHS management.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 5","pages":"417-433"},"PeriodicalIF":2.2,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.21033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140234887","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}
Romy Müller, David F. Reindel, Yannick D. Stadtfeld
{"title":"The benefits and costs of explainable artificial intelligence in visual quality control: Evidence from fault detection performance and eye movements","authors":"Romy Müller, David F. Reindel, Yannick D. Stadtfeld","doi":"10.1002/hfm.21032","DOIUrl":"https://doi.org/10.1002/hfm.21032","url":null,"abstract":"<p>Visual inspection tasks often require humans to cooperate with artificial intelligence (AI)-based image classifiers. To enhance this cooperation, explainable artificial intelligence (XAI) can highlight those image areas that have contributed to an AI decision. However, the literature on visual cueing suggests that such XAI support might come with costs of its own. To better understand how the benefits and cost of XAI depend on the accuracy of AI classifications and XAI highlights, we conducted two experiments that simulated visual quality control in a chocolate factory. Participants had to decide whether chocolate molds contained faulty bars or not, and were always informed whether the AI had classified the mold as faulty or not. In half of the experiment, they saw additional XAI highlights that justified this classification. While XAI speeded up performance, its effects on error rates were highly dependent on (X)AI accuracy. XAI benefits were observed when the system correctly detected and highlighted the fault, but XAI costs were evident for misplaced highlights that marked an intact area while the actual fault was located elsewhere. Eye movement analyses indicated that participants spent less time searching the rest of the mold and thus looked at the fault less often. However, we also observed large interindividual differences. Taken together, the results suggest that despite its potentials, XAI can discourage people from investing effort into their own information analysis.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 5","pages":"396-416"},"PeriodicalIF":2.2,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.21032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968228","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":"The effect of relaxing music on driving anger and performance in a simulated car-following task","authors":"Qian Zhang, Yan Ge, Weina Qu","doi":"10.1002/hfm.21031","DOIUrl":"10.1002/hfm.21031","url":null,"abstract":"<p>Studies have focused on the negative effects of anger on driving performance, but insufficient research has addressed intervention methods to reduce these emotional effects. This research investigated how music mitigates the deterioration of driving performance associated with angry emotions in a simulated car-following task. Forty-three licensed drivers participated in this study, and they were randomly separated into two groups: an intervention group and a control group. First, all the participants completed a car-following task involving neutral arousal. Then, both groups completed the car-following task after the anger arousal task. The intervention group drove while listening to relaxing music, but the control group did not. Driving performance and electrocardiographic data were recorded. The results showed that participants who listened to relaxing music had significantly shorter braking reaction times and greater heart rate variability (HRV) than did those who did not listen to music. Relaxing music can reduce driving anger and improve driving behavior.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 5","pages":"386-395"},"PeriodicalIF":2.2,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140438079","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}
Kosar Tohidizadeh, Esmaeil Zarei, Mehran Ghalenoei, Mohammad Yazdi, Kamran Kolivand
{"title":"A dynamic system-based model for analyzing human factors: Enhanced AcciMap with spherical fuzzy dynamic Bayesian network approach","authors":"Kosar Tohidizadeh, Esmaeil Zarei, Mehran Ghalenoei, Mohammad Yazdi, Kamran Kolivand","doi":"10.1002/hfm.21029","DOIUrl":"10.1002/hfm.21029","url":null,"abstract":"<p>In today's interconnected global economy, maritime trade is a pillar of prosperity, yet maritime accidents loom as a formidable challenge. The intricate nature of these accidents, coupled with rapid technological advancements, necessitates the evolution of systematic analysis methods. Conventional systemic approaches, while valuable, struggle to encapsulate the intricate web of mutual and dynamic dependencies inherent in these incidents. Furthermore, the call for more quantitative support in decision-making and the ability to account for emergent factors has become increasingly imperative. This study aims to analyze maritime accidents by introducing a quantitative and dynamic model. The endeavour begins with establishing an extended Accident Map-based model, a robust framework that unveils a sophisticated accident causation model. This preliminary action establishes the groundwork for integrating an innovative Spherical Fuzzy Set, navigating the complex landscape of knowledge acquisition. The subsequent phase charts a transformative course by mapping the model onto a dynamic Bayesian Network to conduct a forward and backward analysis. The essence of the model lies in its dynamic nature, allowing for real-time updates that reflect the evolving maritime accidents risk factors. The approach is validated through a partial benchmark exercise, a reality check, an independent peer review, and a sensitivity analysis. The model can explore emerging contributing factors, reduce uncertainty, and consider relationships between factors that yield designing more effective safety measures.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 4","pages":"338-363"},"PeriodicalIF":2.4,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140444518","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}
Zenggen Ren, Fu Guo, Mingming Li, Wei Lyu, Vincent G. Duffy
{"title":"The effect of in-vehicle agent embodiment on drivers' perceived usability and cognitive workload: Evidence from subjective reporting, ECG, and fNIRS","authors":"Zenggen Ren, Fu Guo, Mingming Li, Wei Lyu, Vincent G. Duffy","doi":"10.1002/hfm.21030","DOIUrl":"10.1002/hfm.21030","url":null,"abstract":"<p>To improve the interaction between drivers and the in-vehicle information system (IVIS), various intelligent agents, such as robot agents, virtual agents, and voice-only agents, have been integrated into vehicles. However, it is not yet clear which type of in-vehicle agent is best suited to the driving context. This study aims to investigate the effect of in-vehicle agent embodiment on drivers' perceived usability and cognitive workload. In a within-subject simulated driving experiment, 22 participants interacted with three different in-vehicle agents (smartphone agent, robot agent, and virtual agent). Functional near-infrared spectroscopy and electrocardiogram (ECG) were used to record prefrontal cortex activation and electrical changes associated with cardiac activity during simulated driving, respectively. The results show that the smartphone agent had the lowest perceived usability scores, oxygenated hemoglobin concentration variation (ΔHbO), and maximum ECG signal variation compared to baseline. There were no statistical differences in cognitive workload, perceived usability scores, brain area activation, and ECG signals between the robot agent and the virtual agent. The research findings demonstrate the positive effects of the anthropomorphic appearance of in-vehicle agents on perceived usability and contribute to improving the design of in-vehicle intelligent agents.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 4","pages":"325-337"},"PeriodicalIF":2.4,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140448675","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":"Human factors analysis of coal mine gas accidents based on improved HFACS model","authors":"Mengjiao Zhang, Hongxia Li, Heqiong Xia, Qian Zhang, Yanlin Chen, Yuchen Liu, Haoran Xu","doi":"10.1002/hfm.21028","DOIUrl":"10.1002/hfm.21028","url":null,"abstract":"<p>Gas accidents represent a crucial domain of coal mine safety research, as they result in substantial property damage, environmental pollution, and even loss of life compared to other types of accidents. Particularly, human factors play a significant role in the majority of mining accidents. The objective of this paper is to enhance the quality of coal mine safety management, minimize the occurrence of adverse human factors in gas accidents, and analyze the factors influencing coal mine gas accidents using the Human Factors Analysis and Classification System (HFACS). To commence, this paper has devised a human factor influence index system based on the enhanced HFACS for coal mine gas accidents. Subsequently, the Decision-making Trial and Evaluation Laboratory (DEMATEL) method has been employed to quantitatively delineate the causal relationships among these factors. Lastly, this paper utilized the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) comprehensive evaluation method to evaluate the importance of factors influencing coal mine gas accidents. The research findings indicate that through the utilization of the DEMATEL methodology for centrality and causal relationship calculations, the centrality and causality values associated with poor organizational management emerge as the foremost among all factors. This underscores the pivotal role that poor organizational management plays in the human factors influencing coal mine gas accidents. Furthermore, a meticulous examination using TOPSIS identified the top five indicators of influence capability: cognitive errors > habitual violations > operational management > management process > resource management. The analysis of human factors in coal mine gas accidents can provide enhanced theoretical support for the management of production safety in coal mines, as well as the prevention of gas accidents.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 4","pages":"309-324"},"PeriodicalIF":2.4,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139839276","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}
Hongwei Niu, Jia Hao, Zhiyuan Ming, Xiaonan Yang, Lu Wang
{"title":"Characterization and classification of EEG signals evoked by different CAD models","authors":"Hongwei Niu, Jia Hao, Zhiyuan Ming, Xiaonan Yang, Lu Wang","doi":"10.1002/hfm.21027","DOIUrl":"10.1002/hfm.21027","url":null,"abstract":"<p>The past two decades have witnessed dramatic advancement in computer-aided design (CAD). However, development of human–computer interfaces (HCI) for CAD have not kept up with these advances. Windows, Icons, Menus, Pointer (WIMP) is still the mainly used interface for CAD applications which limits the naturalness and intuitiveness of the CAD modeling process. As a novel interface, Brain–computer interfaces (BCIs) have great potential in the application of CAD modeling. Utilizing BCIs, the user can create CAD models just by thinking about it in principle, because BCIs provide an end-to-end interaction channel between users and CAD models. However, current related studies are mainly limited to the existing BCIs paradigms, while ignoring the relationship between electroencephalogram (EEG) signals and CAD models, which largely increases the cognitive load on the users. In this study, we aimed to explore the potential of using BCI to create CAD models directly independent of the classical BCIs paradigms. For this purpose, EEG signals evoked by six basic CAD models (i.e., point, square, trapezoid, line, triangle, and circle) were collected from 28 participants. After preprocessing and sub-trial principal components analysis (st-PCA) of recorded data, the peak, mean and time-frequency energy features were extracted from EEG signals. By applying the one-way repeated measures analysis of variance, we demonstrated that there were significant differences among these EEG features evoked by different CAD models. These features from EEG electrode channels ranked by mutual information were then used to train a discriminant classifier of genetic algorithm-based support vector machine. The empirical result showed that this classifier can discriminate the CAD models with an average accuracy of about 72%, which turns out that EEG based model generation is feasible, and provides the technical and theoretical basis for building a novel BCI for CAD modeling.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 4","pages":"292-308"},"PeriodicalIF":2.4,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139840286","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":"Exploration of multimodal alarms for civil aircraft flying task: A laboratory study","authors":"Wenzhe Cun, Suihuai Yu, Jianjie Chu, Yanhao Chen, Jianhua Sun, Hao Fan","doi":"10.1002/hfm.21026","DOIUrl":"10.1002/hfm.21026","url":null,"abstract":"<p>Owing to the increasing amount of information presented in the cockpit, the visual and hearing channels are unable to adequately transmit information, which may increase the mental load on pilots. This study explores the benefits of multimodal alarms under high and low residual capacities during take-off in civil aircrafts in a quasi-experimental study. The performance of two modes of multimodal (visual and auditory [VA], and visual, auditory, and tactile [VAT]) alarms were tested. The results showed that the VAT alarms were superior to the VA alarms in terms of choice response times (CRTs) when the participants were exposed to low residual capacities of vision and hearing. However, this effect was not observed when the participants had high residual capacities for vision and hearing. Thus, we considered that an additional tactile alarm could play a significant role in the CRTs when VA resources were consumed. There was no significant difference in the number of response errors between the three multimodal alarm modes. This study provides a key comparison of the two modes of multimodal alarms, indicating that VAT alarms are ideal for use in alarm design strategies for next-generation civil cockpits.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 4","pages":"279-291"},"PeriodicalIF":2.4,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139860129","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}
Dan Pan, Di Zhao, Youchen Pu, Liang Wang, Yijing Zhang
{"title":"Use of cross-training in human–robot collaborative rescue","authors":"Dan Pan, Di Zhao, Youchen Pu, Liang Wang, Yijing Zhang","doi":"10.1002/hfm.21025","DOIUrl":"10.1002/hfm.21025","url":null,"abstract":"<p>Human–robot collaboration has been widely used in postdisaster investigation and rescue. Human–robot team training is a good way to improve the team rescue efficiency and safety; two common training methods, namely, procedural training and cross-training, are explored in this study. Currently, relatively few studies have explored the impact of cross-training on human–robot collaboration in rescue tasks. Cross-training will be novel to most rescuers and as such, an evaluation of cross-training in comparison with more conventional procedural training is warranted. This study investigated the effects of these two training methods on rescue performance, situation awareness and workload. Forty-two participants completed a path-planning and a photo-taking task in an unfamiliar simulated postdisaster environment. The rescue performance results showed that cross-training method had significant advantages over procedural training for human–robot collaborative rescue tasks. During the training process, compared with procedural training, participants were more likely to achieve excellent photo-taking performance after cross-training; after training, the length of the route planned by the cross-training group was significantly shorter than that of the procedural-training group. In addition, procedural-training marginal significantly increased the emotion demand, which proves that cross-training can well control the emotions of the operators and make them more involved in the rescue task. The study also found that arousal level increased significantly after the first cross-training session, and decreased to the same level as procedural training after multiple sessions. These results contribute to the application of cross-training in human–robot collaborative rescue teams.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 3","pages":"261-276"},"PeriodicalIF":2.4,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139865263","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}