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Fostering the mutual safety and operational outcomes from manufacturing SMEs’ interventions: The missing link of decision rationalities 促进制造业中小企业干预的相互安全和经营成果:决策理性缺失的一环
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-29 DOI: 10.1016/j.ssci.2025.107016
Enrico Cagno , Alessandra Neri , Sandra N. Morioka , Guido J.L. Micheli , Samuele Paredi , Ivan Bolis
Although occupational safety and operations are interrelated domains, they are usually considered separately. A deeper knowledge and understanding of their interdependences would benefit manufacturing companies. While industrial decision-makers are responsible for decision-making on interventions implementation, their perspectives are often overlooked. This study analyses 55 safety and operational interventions implemented by 20 Italian manufacturing small and medium enterprises from the perspective of industrial decision-makers, adopting a qualitative empirical approach. The study argues for a better understanding of the decision-making process for safety and operational interventions to promote mutual benefits. We call on manufacturing companies to recognise that decision-makers have bounded rationalities; to go beyond instrumental rationality; to promote communicative rationality through cooperation and collaboration, integrating the different perspectives of various stakeholders; and to integrate a more substantive rationality by fostering cultural values associated with caring for people and nature to achieve deeper improvements. The study further suggests a purpose-driven participatory decision-making process to foster more holistic and effective intervention outcomes, purposefully bridging safety and operations. Thus, this study builds on previous theoretical indication of the need to open the black box of industrial decision-makers rationalities.
虽然职业安全和操作是相互关联的领域,但它们通常是分开考虑的。更深入地了解和理解它们的相互依赖性将使制造企业受益。虽然工业决策者负责干预措施实施的决策,但他们的观点往往被忽视。本研究从行业决策者的角度,采用定性实证方法,分析了意大利20家制造业中小企业实施的55项安全和运营干预措施。该研究主张更好地了解安全和操作干预的决策过程,以促进互利。我们呼吁制造企业认识到,决策者的理性是有限的;超越工具理性;通过合作与协作,整合各利益相关者的不同观点,促进沟通理性;并通过培养关爱人和自然的文化价值观,融入更实质性的理性,实现更深层次的改善。该研究进一步提出了一个目的驱动的参与性决策过程,以促进更全面、更有效的干预结果,有目的地将安全和运营联系起来。因此,本研究建立在先前理论指出需要打开产业决策者理性的黑箱的基础上。
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引用次数: 0
The power of safety: How public health measures influence exhibition attendance and engagement 安全的力量:公共卫生措施如何影响展览出席率和参与度
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-28 DOI: 10.1016/j.ssci.2025.107035
Xingqin Qu , Jie Yin , Yensen Ni
This study investigates the influence of public health risk mitigation measures on exhibition engagement intentions, emphasizing their role in enhancing safety and participant involvement. As safety becomes increasingly critical, the research highlights how effective risk mitigation strategies can reduce anxiety, bolster perceptions of security, and foster visitor confidence, directly driving engagement. The moderating effect of perceived vaccine effectiveness is also analyzed, offering practical insights for exhibition organizers to sustain attendance and engagement during public health crises. Through fuzzy set qualitative comparative analysis (fsQCA), the study reveals three distinct configurations of factors that underpin engagement intentions, providing a comprehensive understanding of decision-making in crisis contexts. These findings advance safety science by demonstrating how strong risk management practices can mitigate uncertainties and ensure the resilience of exhibitions in rapidly changing environments, offering valuable implications for researchers and industry professionals dedicated to enhancing safety and engagement.
本研究探讨公共卫生风险缓解措施对展览参与意愿的影响,强调其在提高安全和参与者参与方面的作用。随着安全变得越来越重要,研究强调了有效的风险缓解策略如何减少焦虑,增强安全意识,培养游客信心,直接推动参与度。还分析了感知疫苗有效性的调节作用,为展览组织者在公共卫生危机期间保持出席率和参与度提供了实际见解。通过模糊集定性比较分析(fsQCA),该研究揭示了三种不同的因素配置,这些因素构成了参与意向的基础,为危机背景下的决策提供了全面的理解。这些发现通过展示强大的风险管理实践如何减轻不确定性并确保展览在快速变化的环境中具有弹性,从而推动了安全科学的发展,为致力于提高安全性和参与度的研究人员和行业专业人士提供了宝贵的启示。
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引用次数: 0
Measuring community resilience to crowd safety risks: Development of the Crowd Safety Culture and Terrorism Preparedness scales 衡量社区对人群安全风险的恢复力:人群安全文化和恐怖主义准备量表的开发
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-25 DOI: 10.1016/j.ssci.2025.107036
Milad Haghani , Annikka Burge , Sara Fazeli
Crowd safety risks manifest in different forms and can have significant consequences. While top-down interventions, such as regulations and engineering controls, are critical, the role of individual crowd members in risk resilience is often underestimated; that is, how their preparedness level and actions can meaningfully reduce risks or mitigate their impact. This study follows the concept of the Swiss Cheese Model of Crowd Safety by highlighting the overlooked value of community-embedded measures, i.e., the bottom-up grassroots safety approaches, as a risk mitigation tool. We argue this must start with breaking down and quantifying community resilience. However, there is currently no existing metric or standardised tool to systematically assess community readiness. Here, we address this gap by introducing the concept of Crowd Safety Culture as a measurable, multifaceted construct encompassing (i) attitudes, (ii) situational awareness and vigilance, (iii) risk aversion, (iv) knowledge and actions, and (v) social norms. A self-report instrument is developed to quantify and measure this construct, alongside a specialised and related instrument designed to measure preparedness specifically for terrorism-related risks in crowded spaces. The results demonstrate that scores on the two scales correlate positively and significantly, supporting their conceptual overlap. Factor analyses confirm five key dimensions for crowd safety culture and three distinct dimensions for terrorism preparedness. Validation is further tested using perceptual measures of stated risk tolerance and objective knowledge-based questions. Crowd safety culture score demonstrated a moderate ability to predict risk-taking behaviour, with higher scores associated with a reduced tendency to join crowds in risky conditions. Females scored higher on safety culture, while males scored higher on terrorism preparedness. Older individuals scored higher than younger in safety culture, while no significant differences in terrorism preparedness were observed. These instruments are designed to uncover potential demographic-, profile-, or culture-specific differences and provide standardised empirical tools to assess and proactively monitor the state of crowd safety culture and preparedness at a community level. More importantly, they can serve as an empirical foundation for developing targeted evidence-based behavioural interventions and educational campaigns to enhance community-level safety and resilience from the ground up.
人群安全风险以不同的形式表现出来,并可能产生重大后果。尽管法规和工程控制等自上而下的干预措施至关重要,但个体群体成员在风险抵御能力中的作用往往被低估;也就是说,他们的准备水平和行动如何能够有效地降低风险或减轻其影响。本研究遵循瑞士奶酪人群安全模型的概念,强调了社区嵌入措施(即自下而上的基层安全方法)作为风险缓解工具的被忽视的价值。我们认为,这必须从分解和量化社区恢复力开始。然而,目前没有现有的度量或标准化工具来系统地评估社区准备情况。在这里,我们通过引入人群安全文化的概念来解决这一差距,这是一个可测量的,多方面的结构,包括(i)态度,(ii)态势感知和警惕,(iii)风险规避,(iv)知识和行动,以及(v)社会规范。开发了一种自我报告工具来量化和衡量这一结构,同时还开发了一种专门的相关工具,用于衡量专门针对拥挤空间中与恐怖主义有关的风险的准备情况。结果表明,两种量表的得分呈正相关且显著,支持它们的概念重叠。因素分析确认了人群安全文化的五个关键维度和恐怖主义准备的三个不同维度。验证是进一步测试使用感性措施的风险承受能力和客观的知识为基础的问题。人群安全文化得分显示出适度的预测冒险行为的能力,得分越高,在危险条件下加入人群的倾向越低。女性在安全文化方面得分较高,而男性在防范恐怖主义方面得分较高。老年人在安全文化方面的得分高于年轻人,而在恐怖主义准备方面没有显著差异。这些工具旨在揭示潜在的人口统计学、概况或文化差异,并提供标准化的经验工具,以评估和主动监测社区层面的人群安全文化和准备状况。更重要的是,它们可以作为制定有针对性的基于证据的行为干预措施和教育运动的经验基础,从根本上提高社区层面的安全性和复原力。
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引用次数: 0
What is safety performance? A systematic review of conceptualizations in the construction safety research 什么是安全性能?建筑安全研究中概念的系统回顾
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-22 DOI: 10.1016/j.ssci.2025.107025
Casper Pilskog Orvik , Eirik Albrechtsen , Trond Kongsvik , Siri Mariane Holen , Lene Elisabeth Bertheussen , Stine Thordarson Moltubakk
Safety performance is a critical concept in safety management and research across the construction industry. Effective safety management relies on an understanding of past, present, and expected performance to inform decision-making. Despite extensive research and practical applications in the construction industry, there is no consensus regarding how to conceptualize and measure safety performance. This study reviews 231 scientific articles to explore different definitions, applications, and measurements of safety performance in construction safety research. The findings reveal four main categories of safety performance concepts: loss-based, safety management-based, behavior-based, and mixed approaches. The lack of clear definitions and the heterogeneity of conceptualizations contribute to ambiguity in safety research, posing challenges for communication and theory development. However, this diversity also offers a broader range of measures for practitioners. Awareness of these variations is crucial for the effective communication and application of safety performance metrics in both research and practice.
安全绩效是整个建筑行业安全管理和研究中的一个关键概念。有效的安全管理依赖于对过去、现在和预期性能的理解,从而为决策提供信息。尽管在建筑行业进行了广泛的研究和实际应用,但关于如何概念化和衡量安全性能还没有达成共识。本研究回顾了231篇科学论文,探讨建筑安全研究中安全绩效的不同定义、应用和测量。研究结果揭示了安全绩效概念的四大类:基于损失的、基于安全管理的、基于行为的和混合方法。缺乏明确的定义和概念的异质性导致了安全研究的模糊性,给交流和理论发展带来了挑战。然而,这种多样性也为从业者提供了更广泛的测量范围。在研究和实践中,对这些变化的认识对于安全绩效指标的有效沟通和应用至关重要。
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引用次数: 0
Safety first, safety’s choice: regulating unmanned aircraft and an illusion of choice 安全第一,安全的选择:管制无人机和选择的错觉
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-21 DOI: 10.1016/j.ssci.2025.107029
Benjamyn I. Scott , Öykü Kurtpınar
To ensure the safe, secure and sustainable integration of unmanned aircraft (drones) into society, authorities are revoking, amending and introducing laws to govern this diverse and growing sector. Two main approaches have been utilised from the different regulatory approaches that are available to regulators. The International Civil Aviation Organization (ICAO) has, for example, stated that 18 out of the 19 Annexes to the Convention on International Civil Aviation 1944 will be amended. ICAO is integrating the specific drone requirements into the existing requirements. On the other hand, the EU has opted to issue drone-specific Regulations, as opposed to weaving drones into the existing EU acquis. Therefore, the EU is differentiating the drone requirements from the existing regulatory system. These early regulatory steps are focused on ensuring an acceptable level of safety. This has, however, had the consequence of determining the wider regulatory approach. While the choice of regulatory approach can be seen as either an integrated or differentiated one, this is a superficial conclusion. There is an illusion of choice; drones are aircraft and shall be regulated as such. As operations become more prevalent and complex, it becomes relevant to assess the impact of this regulatory approach – which is rooted in the safety domain – on other regulated areas. This paper analyses these regulatory approaches, whether the regulators had a choice and what are the wider consequences, in order to draw conclusions and provide implementable recommendations.
为了确保无人驾驶飞机(无人机)安全、可靠和可持续地融入社会,当局正在撤销、修改和引入法律来管理这一多样化和不断增长的行业。从监管机构可用的不同监管方法中,主要采用了两种方法。例如,国际民用航空组织(民航组织)指出,《1944年国际民用航空公约》19个附件中的18个将予以修正。国际民航组织正在将无人机的具体要求纳入现有要求。另一方面,欧盟选择发布针对无人机的规定,而不是将无人机纳入现有的欧盟协议。因此,欧盟正在将无人机要求与现有的监管体系区分开来。这些早期监管措施的重点是确保可接受的安全水平。然而,这决定了更广泛的监管方式。虽然监管方式的选择可以被视为一种综合或差异化的选择,但这是一个肤浅的结论。有一种选择的错觉;无人机属于航空器,应当按照航空器的规定进行管理。随着操作变得越来越普遍和复杂,评估这种植根于安全领域的监管方法对其他监管领域的影响变得相关。本文分析了这些监管方法,监管机构是否有选择,以及更广泛的后果是什么,以便得出结论并提供可实施的建议。
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引用次数: 0
A scenario-based heterogeneous fleet planning with victim demand modeling for flood evacuation 洪水疏散中基于场景的异构舰队规划与受害者需求建模
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-17 DOI: 10.1016/j.ssci.2025.107027
Lay Eng Teoh, Jin Wang Chang, Hooi Ling Khoo
Floods have emerged as a worldwide challenging disaster primarily due to global warming. Thus, ensuring an adequate heterogeneous evacuation fleet to promptly evacuate affected victims is of utmost importance. Correspondingly, properly coordinated evacuation fleet planning should explicitly unify both aspects of demand (number of victims) and supply (provision of evacuation vehicles). However, the demand and supply aspects are rarely explored simultaneously in past studies. By embedding a novel 3-step victim demand modeling framework, this study develops a scenario-based heterogeneous fleet planning model to maximize the total number of victims evacuated from disaster areas and minimize the composition of heterogeneous evacuation vehicles. The proposed approach can capture evacuation demand and supply in a single unified framework to solve flood evacuation problems under different flooding scenarios, including low/moderate and high water levels. By analyzing an illustrative case study for the context of Malaysia, several insightful results are revealed: (1) the probable demand level of victims for evacuation would vary greatly under different flood severity due to numerous influential factors; (2) varying compositions of evacuation vehicles (buses, vans, lorries, and boats) would be optimally required to evacuate different clusters of affected victims; (3) incorporating fleet adjustment strategy would impact the total evacuation time to a certain extent. (4) the proposed approach is computationally efficient to yield the optimal fleet planning decisions. Concisely, it is anticipated that the proposed bi-objective fleet planning approach, which possesses beneficial managerial implications, could assist relevant stakeholders, especially emergency planners and rescue teams, in implementing a smart evacuation strategy.
由于全球变暖,洪水已经成为全球范围内具有挑战性的灾难。因此,确保一支足够的异质疏散船队迅速疏散受影响的受害者是至关重要的。相应地,适当协调的疏散车队规划应明确统一需求(受害者人数)和供应(提供疏散车辆)两个方面。然而,在过去的研究中,很少同时探讨需求和供应方面。本研究通过嵌入一种新颖的3步受害者需求建模框架,开发了基于场景的异构车队规划模型,以最大限度地从灾区疏散受害者总数,并最小化异构疏散车辆的组成。建议的方法可以在一个统一的框架内捕捉疏散需求和供应,以解决不同洪水情景下的疏散问题,包括低/中水位和高水位。通过对马来西亚的案例分析,得出了以下几点深刻的结论:(1)在不同的洪水严重程度下,由于众多的影响因素,灾民可能的疏散需求水平会有很大的差异;(2)疏散不同人群所需的疏散车辆(公共汽车、面包车、卡车和船只)的组合最优;(3)纳入车队调整策略会在一定程度上影响总疏散时间。(4)所提出的方法计算效率高,能够产生最优的车队规划决策。简而言之,预计拟议的双目标机队规划方法具有有益的管理影响,可协助相关利益攸关方,特别是应急规划人员和救援队实施智能疏散战略。
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引用次数: 0
The active patient: Voicing and correcting behaviors by patients and families to ensure safety in healthcare organizations 主动患者:表达和纠正患者和家属的行为,以确保医疗机构的安全
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-16 DOI: 10.1016/j.ssci.2025.107026
Tom W Reader , Alex Gillespie
Healthcare research increasingly observes that patients and families can be highly active in trying to prevent medical accidents. However, the safety literature lacks a model of these behaviors. Addressing this gap would not only advance understanding on how patients and families contribute to healthcare safety, but also provide a general framework for studying how non-employee stakeholders such as citizens and service-users influence safety outcomes in other organizational contexts. Therefore, the current study aimed to establish a model of the behaviors used by patients and families to prevent accidents and ensure safety whilst in hospital. Using a mixed qualitative-quantitative research design, we analyzed 1,857 healthcare complaints submitted by patients and families to UK hospitals reporting poor treatment experiences. Our analysis focused upon reports within the complaints of healthcare users engaging in (1) voicing behaviors to raise concerns about safety with staff and (2) correcting behaviors to directly resolve safety issues. Approximately three quarters of complaints reported patients and families having engaged in voicing and correcting behaviors, with them often doing so to ensure the resolution of missed and emerging safety problems. The behaviors contributed to hospital safety outcomes through helping staff to spot and resolve errors and hazards, intervening to ensure that safety standards were maintained, and bypassing teams and hospitals when they were judged as too unsafe. The study adds to the literature by establishing a framework for studying how the behaviors of non-employee stakeholders in healthcare and other domains contribute to organisational safety.
医疗保健研究越来越多地观察到,患者和家属可以高度积极地努力防止医疗事故。然而,安全文献缺乏这些行为的模型。解决这一差距不仅可以增进对患者和家属如何促进医疗保健安全的理解,而且还可以为研究公民和服务使用者等非雇员利益相关者如何影响其他组织环境中的安全结果提供一个总体框架。因此,本研究旨在建立患者和家属在医院期间预防事故和确保安全的行为模型。采用混合定性-定量研究设计,我们分析了1857例由患者和家属向英国医院提交的医疗投诉,报告了不良的治疗经历。我们的分析集中在医疗保健用户参与的投诉报告(1)表达行为,以提高对员工安全的关注(2)纠正行为,以直接解决安全问题。大约四分之三的投诉报告说,患者和家属参与了发声和纠正行为,他们经常这样做,以确保解决遗漏和新出现的安全问题。通过帮助工作人员发现和解决错误和危险,进行干预以确保维持安全标准,以及在被认为过于不安全时绕过小组和医院,这些行为有助于提高医院的安全成果。该研究通过建立一个框架来研究医疗保健和其他领域的非员工利益相关者的行为如何促进组织安全,从而增加了文献。
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引用次数: 0
Improving flight safety through controlled rest: pilot practices and perceptions 通过控制休息提高飞行安全:飞行员的实践和认识
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-16 DOI: 10.1016/j.ssci.2025.107030
Jonathan Higgins, Marina Efthymiou, Ioannis Ropotos
The aviation industry maintains high safety standards, yet fatigue remains a persistent challenge among flight crew, with fatigue-related human error contributing to a significant proportion of accidents. This study investigates Controlled Rest (CR) as a countermeasure to fatigue in commercial aviation, assessing its acceptability and effectiveness from the perspective of pilots. Data were collected from 232 commercial pilots through a survey distributed across multiple regions and operational contexts, revealing that over 75% view CR as an effective countermeasure to fatigue. Approximately half the participants utilize CR weekly, with long-haul pilots reporting higher usage. Results indicate that CR is generally regarded as a safe, efficient tool for mitigating fatigue-related risks in flight operations, with a subset of pilots citing challenges in its implementation. Findings underscore the potential for CR to improve aviation safety and inform future fatigue management policies. Recommendations for integrating CR into Fatigue Risk Management Systems (FRMS) are discussed, providing actionable insights for regulators and operators.
航空业保持着很高的安全标准,但疲劳仍然是机组人员面临的一个持续挑战,与疲劳相关的人为失误导致了很大一部分事故。本研究以管制休息(CR)作为商业航空的疲劳对策,从飞行员的角度评估其可接受性和有效性。通过分布在多个地区和操作环境中的调查,从232名商业飞行员中收集了数据,显示超过75%的人认为CR是有效的疲劳对策。大约一半的参与者每周使用CR,长途飞行员报告的使用率更高。结果表明,CR通常被认为是一种安全、有效的工具,可以减轻飞行操作中疲劳相关的风险,但一小部分飞行员指出了其实施过程中的挑战。研究结果强调了CR在提高航空安全方面的潜力,并为未来的疲劳管理政策提供信息。讨论了将CR整合到疲劳风险管理系统(FRMS)中的建议,为监管机构和运营商提供了可行的见解。
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引用次数: 0
Artificial intelligence adoption challenges from healthcare providers’ perspectives: A comprehensive review and future directions 从医疗保健提供者的角度来看,人工智能采用的挑战:全面回顾和未来方向
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-15 DOI: 10.1016/j.ssci.2025.107028
Moustafa Abdelwanis , Mecit Can Emre Simsekler , Adriana F. Gabor , Andrei Sleptchenko , Mohammad Omar
The adoption of artificial intelligence in healthcare holds great promise for improving clinical decision-making and patient safety, optimizing administrative processes, and ultimately enhancing patient outcomes. However, the successful and safe integration of AI technologies into clinical practice is hindered by several challenges and concerns. This study provides a systematic literature review to identify and analyze the key barriers with the aim of facilitating the successful implementation of AI-driven technologies in healthcare. Searches were conducted across Web of Science, PubMed, and Scopus, yielding 92 relevant studies. From these, 16 key barriers were identified, including data quality and bias, infrastructure limitations, financial constraints, workflow misalignment, inadequate training, and issues of transparency and accountability. These challenges were subsequently categorized into three clusters using the Human-Organization-Technology (HOT) framework. Human-related challenges include insufficient training, resistance from healthcare providers, and the potential for increased workload. Technology-related challenges concern issues of accuracy, explainability, and the lack of contextual adaptability. Organizational challenges involve infrastructure limitations, inadequate leadership support, and regulatory constraints. To address these barriers, this study proposes a system-level conceptual framework designed to guide both the evaluation and the effective integration of AI into healthcare systems. The framework adopts a sequential structure comprising three main phases: assessment, implementation, and continuous monitoring. Therefore, it ensures that integration is both systematic and sustainable. By linking the identified barriers to targeted strategies across these phases, the framework provides a practical roadmap for overcoming challenges and advancing the safe and effective adoption of AI in healthcare.
人工智能在医疗保健领域的应用有望改善临床决策和患者安全,优化管理流程,并最终提高患者的治疗效果。然而,人工智能技术成功和安全地整合到临床实践中受到一些挑战和担忧的阻碍。本研究提供了一个系统的文献综述,以识别和分析主要障碍,目的是促进人工智能驱动技术在医疗保健领域的成功实施。在Web of Science、PubMed和Scopus上进行了搜索,产生了92项相关研究。从中确定了16个主要障碍,包括数据质量和偏见、基础设施限制、财务约束、工作流程不一致、培训不足以及透明度和问责制问题。这些挑战随后使用人类-组织-技术(HOT)框架分为三组。与人相关的挑战包括培训不足、医疗保健提供者的抵制以及工作量增加的可能性。与技术相关的挑战涉及准确性、可解释性和缺乏上下文适应性等问题。组织挑战包括基础设施限制、领导支持不足和监管约束。为了解决这些障碍,本研究提出了一个系统级概念框架,旨在指导人工智能的评估和有效整合到医疗系统中。该框架采用由三个主要阶段组成的顺序结构:评估、实现和持续监控。因此,它保证了整合的系统性和可持续性。通过将已确定的障碍与这些阶段的目标战略联系起来,该框架为克服挑战和推进人工智能在医疗保健领域的安全有效应用提供了实用路线图。
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引用次数: 0
Harmony or hazard? Quantifying driver workload under music and navigation distractions using interpretable AI 和谐还是危险?使用可解释的人工智能量化音乐和导航干扰下的驾驶员工作量
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-14 DOI: 10.1016/j.ssci.2025.107024
Zhipeng Peng , Hengyan Pan , Yihe Huo , Chenzhu Wang , Said M. Easa , Yonggang Wang
Driver distraction significantly contributes to traffic accidents, with elevated workload being a key mediating factor that compromises driver performance. Among various sources of distraction, music and navigation prompts are two common auditory stimuli that can shape driver workload. However, prior studies have largely examined these factors separately, and little is known about their combined influence across different road environments. To address this gap, this study conducted a simulator-based experiment with 63 participants across 18 scenarios, combining three music tempos (none, slow, fast), two navigation prompt frequencies (high, low), and three road environments (regular, school area, work zone). Multimodal data were collected, including electrodermal activity (EDA), electrocardiography (ECG), electroencephalography (EEG), driving behaviors, and subjective workload assessments. These data were used to construct workload prediction models with a stacking ensemble learning framework. The results showed that high-frequency navigation with slow-tempo music was associated with lower workload, while low-frequency navigation with fast-tempo music increased workload, particularly in complex environments. The stacking models for low, medium, and high workload each achieved accuracy above 91 % and outperformed most base learners. An interpretable AI framework using SHapley Additive exPlanations (SHAP) further revealed that EDA, ECG, and gamma-band activity in the parietal and temporal regions, together with vehicle position, were key predictors of workload. These variables demonstrated nonlinear effects and distinct threshold patterns across varying workload levels. Overall, by systematically integrating auditory and contextual factors, the study advances workload modeling, uncovers key interaction mechanisms, and provides insights for real-time driver assistance system design.
驾驶员注意力分散是导致交通事故的重要因素,而工作量增加是影响驾驶员表现的关键中介因素。在各种各样的分心来源中,音乐和导航提示是两种常见的听觉刺激,可以影响司机的工作量。然而,之前的研究主要是单独检查这些因素,很少了解它们在不同道路环境中的综合影响。为了解决这一差距,本研究在18个场景中对63名参与者进行了基于模拟器的实验,结合了三种音乐节奏(无、慢、快)、两种导航提示频率(高、低)和三种道路环境(常规、学校区域、工作区域)。收集多模态数据,包括皮电活动(EDA)、心电图(ECG)、脑电图(EEG)、驾驶行为和主观工作量评估。利用这些数据构建了基于堆叠集成学习框架的工作负荷预测模型。结果表明,伴随着慢节奏音乐的高频导航与较低的工作量相关,而伴随着快节奏音乐的低频导航则增加了工作量,尤其是在复杂的环境中。低、中、高工作量的叠加模型都达到了91%以上的准确率,并且优于大多数基础学习器。使用SHapley加性解释(SHAP)的可解释AI框架进一步揭示,EDA、ECG和顶叶和颞叶区域的γ波段活动以及车辆位置是工作负荷的关键预测因素。这些变量在不同的工作负载级别上显示出非线性效应和不同的阈值模式。总体而言,通过系统地整合听觉和上下文因素,本研究推进了工作量建模,揭示了关键的交互机制,并为实时驾驶辅助系统设计提供了见解。
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引用次数: 0
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