Virtual reality(VR)has been widely used in various manufacturing industries,and VR-based virtual manufacturing has received significant attention in the current intelligent manufacturing era.Digital human models(DHMs)...Virtual reality(VR)has been widely used in various manufacturing industries,and VR-based virtual manufacturing has received significant attention in the current intelligent manufacturing era.Digital human models(DHMs)are essential for virtual manufacturing applications.Additionally,researching new applications of DHMs has developed into an important academic research field.This paper aims to identify the applications and research trends of DHMs in the manufacturing industry and to provide a reference for the continued development of virtual manufacturing and DHMs.We selected a total of 49 related articles from a large number of articles published between 2014 and 2019.The applications of DHMs in the manufacturing industry are analyzed from different perspectives and various relevant technical limitations are discussed.The results indicate that the applications of DHMs differ significantly between different types of fields.The automotive industry is the main application field for DHMs,and assembly/maintenance simulations and evaluations are the main application types.Additionally,there are still some limitations in the establishment of virtual environments,motion control,and DHM evaluation that should be addressed.Finally,research trends in the application of DHMs are illustrated and discussed,including the planning and assessment of human-robot collaboration systems,the combination of DHMs and augmented reality,and improved motion planning for DHMs.In summary,the application of DHMs can improve the realism and effectiveness of virtual manufacturing,and DHMs will be more widely and deeply studied and applied in various manufacturing industries in the near future.展开更多
获取智能座舱人机交互领域的知识结构研究热点及发展态势。本研究运用科学计量方法,使用Cnki数据库和Web of Science数据库作为数据来源,并使用Citespace和VOSviewer文献数据可视化软件进行关键词图绘制。分析国内外相关领域研究热点,...获取智能座舱人机交互领域的知识结构研究热点及发展态势。本研究运用科学计量方法,使用Cnki数据库和Web of Science数据库作为数据来源,并使用Citespace和VOSviewer文献数据可视化软件进行关键词图绘制。分析国内外相关领域研究热点,探究国内智能座舱研究发展的优势与局限。智能座舱需要结合人因工效学理论方法、智能交互技术等构建适应多任务情境和多层次认知需求的交互模式。在实际情境中的应用与实证研究方面,国内智能座舱仍有提升空间。未来智能座舱发展应该结合多领域的交叉研究,从深度人机协同交互模式、多模态融合人机交互方式、任务-认知关联的交互信息表征等3个方面深入探究智能座舱人机交互模式。展开更多
Human factors in the delivery of service are considered in many occupations of high impact on others such as airline industry and nuclear power industry, but not sufficiently in healthcare delivery. A common administr...Human factors in the delivery of service are considered in many occupations of high impact on others such as airline industry and nuclear power industry, but not sufficiently in healthcare delivery. A common administrative framework of healthcare involves focus upon costs, quality and patient satisfaction (The Triple Aim). Many industries which support healthcare and healthcare administrators do not have firsthand knowledge of the complexities in delivering care. As a result, the experience and human factors of providing care are often overlooked at high level decision-making unless incorporated into the healthcare delivery framework, proposed as the fourth aim of The Quadruple Aim framework. Research is pointing to consequent negative effects on quality, safety, joy, meaning and sustainability of healthcare practice. High acute occupational stress and chronic occupational stress can cause direct and indirect effects on safety and quality of care. The biological, psychological and social consequences of burnout from excessive acute and chronic occupational stress are more of a threat to healthcare than commonly acknowledged. Patient safety, quality of care and clinician well-being are inextricably linked. This report will describe the process of transition from The Triple Aim to The Quadruple Aim administrative framework of healthcare delivery at the University of Rochester Medical Center. Developing the fourth aim of improving the experience of providing care, had high acceptability and aligned with other health system goals of optimization of safety, quality, and performance by applying a human factors/ergonomic (HFE) framework that considers human capabilities and human limitations. The goal of HFE is to fit the healthcare system to the human instead of the human to the healthcare system. Concepts include removal of extraneous cognitive load, using clinician neural resource (brain power) optimally for highest order decision making in patient care. An integrative model of patient safety and clinician wellbeing 展开更多
Our healthcare delivery system has accumulated complexity of payment, regulation systems, expectations and requirements. Often these are not designed to align with clinical thinking process flow of patient care. As a ...Our healthcare delivery system has accumulated complexity of payment, regulation systems, expectations and requirements. Often these are not designed to align with clinical thinking process flow of patient care. As a result, clinicians are utilizing enormous mental (cognitive) resource to comply with these complexities, over and above the baseline mental effort required to give good care to the patient. Recent studies suggest a significant number of physicians, advanced practice providers and nurses no longer want to stay in healthcare due to difficult work expectations and conditions that have become unreasonable. Technology has benefitted healthcare delivery, but also is a conduit of many expectations that have been grafted upon clinician workloads, exceeding the resources provided to accomplish them. Cognitive load is a measure of mental effort and is divided into Intrinsic, Germane and Extraneous Cognitive Load. Extraneous Cognitive Load (ECL) is what is not necessary and can be removed by better design. High cognitive load is associated with increased risk of both medical error and clinician burnout. Chronic high level occupational stress occurs from dealing with this job/resource imbalance and is showing serious personal health impact upon clinicians and the quality of the work they can provide for patients. Since organizational systems have become more complex, leadership methods, clinician wellbeing and patient safety efforts need to adjust to adapt and succeed. Safety efforts have tended to predominantly follow methods of a few decades ago with predominant focus upon how things go wrong (Safety I) but are now being encouraged to include more of the study of how things go right (Safety II). Human Factors/Ergonomics (HFE) science has been used in many industries to preserve worker wellbeing and improve system performance. Patient safety is a product of good system performance. HFE science helps inform mechanisms behind Safety I and II approach. HFE concepts augment existing burnout and safety interventions展开更多
<p align="justify"> <span style="font-family:Verdana;"></span><span style="font-family:Verdana;"></span>Clinician Burnout is a personal and public health iss...<p align="justify"> <span style="font-family:Verdana;"></span><span style="font-family:Verdana;"></span>Clinician Burnout is a personal and public health issue. Most occupational stressors contributing to clinician burnout are systemic. The combination of organizational interventions along with individual interventions is necessary to make significant lasting difference in reducing burnout, improving clinician and patient satisfaction and reducing latent error in healthcare delivery. Application of Human Factors/Ergonomics (HFE) science in healthcare leadership and management is a gap in current training for leaders. HFE uses concepts from organizational, educational and cognitive science, systems science and industrial engineering. HFE application is especially necessary in a fast changing highly stressful healthcare environment which impacts the wellbeing of clinicians and the safety of patients under care. Practical suggestions for working with various healthcare leadership styles and organizational dynamics, while aligning wellness efforts with institutional mission are discussed. Concrete examples of decreasing extraneous mental load on clinicians to preserve their brainpower to achieve quality patient care are illustrated. Organizational interventions in combination with individual interventions to reduce and manage burnout have enormous potential to improve clinician wellbeing and satisfaction in taking care of patients, reduce costs, risk of error and create the safe working environment needed to sustainably give high quality care to patients. </p>展开更多
基金National Natural Science Foundation of China(51475291).
文摘Virtual reality(VR)has been widely used in various manufacturing industries,and VR-based virtual manufacturing has received significant attention in the current intelligent manufacturing era.Digital human models(DHMs)are essential for virtual manufacturing applications.Additionally,researching new applications of DHMs has developed into an important academic research field.This paper aims to identify the applications and research trends of DHMs in the manufacturing industry and to provide a reference for the continued development of virtual manufacturing and DHMs.We selected a total of 49 related articles from a large number of articles published between 2014 and 2019.The applications of DHMs in the manufacturing industry are analyzed from different perspectives and various relevant technical limitations are discussed.The results indicate that the applications of DHMs differ significantly between different types of fields.The automotive industry is the main application field for DHMs,and assembly/maintenance simulations and evaluations are the main application types.Additionally,there are still some limitations in the establishment of virtual environments,motion control,and DHM evaluation that should be addressed.Finally,research trends in the application of DHMs are illustrated and discussed,including the planning and assessment of human-robot collaboration systems,the combination of DHMs and augmented reality,and improved motion planning for DHMs.In summary,the application of DHMs can improve the realism and effectiveness of virtual manufacturing,and DHMs will be more widely and deeply studied and applied in various manufacturing industries in the near future.
文摘获取智能座舱人机交互领域的知识结构研究热点及发展态势。本研究运用科学计量方法,使用Cnki数据库和Web of Science数据库作为数据来源,并使用Citespace和VOSviewer文献数据可视化软件进行关键词图绘制。分析国内外相关领域研究热点,探究国内智能座舱研究发展的优势与局限。智能座舱需要结合人因工效学理论方法、智能交互技术等构建适应多任务情境和多层次认知需求的交互模式。在实际情境中的应用与实证研究方面,国内智能座舱仍有提升空间。未来智能座舱发展应该结合多领域的交叉研究,从深度人机协同交互模式、多模态融合人机交互方式、任务-认知关联的交互信息表征等3个方面深入探究智能座舱人机交互模式。
文摘Human factors in the delivery of service are considered in many occupations of high impact on others such as airline industry and nuclear power industry, but not sufficiently in healthcare delivery. A common administrative framework of healthcare involves focus upon costs, quality and patient satisfaction (The Triple Aim). Many industries which support healthcare and healthcare administrators do not have firsthand knowledge of the complexities in delivering care. As a result, the experience and human factors of providing care are often overlooked at high level decision-making unless incorporated into the healthcare delivery framework, proposed as the fourth aim of The Quadruple Aim framework. Research is pointing to consequent negative effects on quality, safety, joy, meaning and sustainability of healthcare practice. High acute occupational stress and chronic occupational stress can cause direct and indirect effects on safety and quality of care. The biological, psychological and social consequences of burnout from excessive acute and chronic occupational stress are more of a threat to healthcare than commonly acknowledged. Patient safety, quality of care and clinician well-being are inextricably linked. This report will describe the process of transition from The Triple Aim to The Quadruple Aim administrative framework of healthcare delivery at the University of Rochester Medical Center. Developing the fourth aim of improving the experience of providing care, had high acceptability and aligned with other health system goals of optimization of safety, quality, and performance by applying a human factors/ergonomic (HFE) framework that considers human capabilities and human limitations. The goal of HFE is to fit the healthcare system to the human instead of the human to the healthcare system. Concepts include removal of extraneous cognitive load, using clinician neural resource (brain power) optimally for highest order decision making in patient care. An integrative model of patient safety and clinician wellbeing
文摘Our healthcare delivery system has accumulated complexity of payment, regulation systems, expectations and requirements. Often these are not designed to align with clinical thinking process flow of patient care. As a result, clinicians are utilizing enormous mental (cognitive) resource to comply with these complexities, over and above the baseline mental effort required to give good care to the patient. Recent studies suggest a significant number of physicians, advanced practice providers and nurses no longer want to stay in healthcare due to difficult work expectations and conditions that have become unreasonable. Technology has benefitted healthcare delivery, but also is a conduit of many expectations that have been grafted upon clinician workloads, exceeding the resources provided to accomplish them. Cognitive load is a measure of mental effort and is divided into Intrinsic, Germane and Extraneous Cognitive Load. Extraneous Cognitive Load (ECL) is what is not necessary and can be removed by better design. High cognitive load is associated with increased risk of both medical error and clinician burnout. Chronic high level occupational stress occurs from dealing with this job/resource imbalance and is showing serious personal health impact upon clinicians and the quality of the work they can provide for patients. Since organizational systems have become more complex, leadership methods, clinician wellbeing and patient safety efforts need to adjust to adapt and succeed. Safety efforts have tended to predominantly follow methods of a few decades ago with predominant focus upon how things go wrong (Safety I) but are now being encouraged to include more of the study of how things go right (Safety II). Human Factors/Ergonomics (HFE) science has been used in many industries to preserve worker wellbeing and improve system performance. Patient safety is a product of good system performance. HFE science helps inform mechanisms behind Safety I and II approach. HFE concepts augment existing burnout and safety interventions
文摘<p align="justify"> <span style="font-family:Verdana;"></span><span style="font-family:Verdana;"></span>Clinician Burnout is a personal and public health issue. Most occupational stressors contributing to clinician burnout are systemic. The combination of organizational interventions along with individual interventions is necessary to make significant lasting difference in reducing burnout, improving clinician and patient satisfaction and reducing latent error in healthcare delivery. Application of Human Factors/Ergonomics (HFE) science in healthcare leadership and management is a gap in current training for leaders. HFE uses concepts from organizational, educational and cognitive science, systems science and industrial engineering. HFE application is especially necessary in a fast changing highly stressful healthcare environment which impacts the wellbeing of clinicians and the safety of patients under care. Practical suggestions for working with various healthcare leadership styles and organizational dynamics, while aligning wellness efforts with institutional mission are discussed. Concrete examples of decreasing extraneous mental load on clinicians to preserve their brainpower to achieve quality patient care are illustrated. Organizational interventions in combination with individual interventions to reduce and manage burnout have enormous potential to improve clinician wellbeing and satisfaction in taking care of patients, reduce costs, risk of error and create the safe working environment needed to sustainably give high quality care to patients. </p>
