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In the era of Industry 4.0, manufacturing and production systems were revolutionized by increasing operational efficiency and developing and implementing new business models, services, and products. Concretely, the milestone set for Industry 4.0 was to improve the sustainability and efficiency of production systems. By extension, the emphasis was focused on both the digitization and the digitalization of systems, providing room for further improvement. However, the current technological evolution is more system/machine-oriented, rather than human-oriented. Thus, several countries have begun orchestrating initiatives towards the design and development of the human-centric aspect of technologies, systems, and services, which has been coined as Industry 5.0. The impact of Industry 5.0 will extend to societal transformation, which eventually leads to the generation of a new society, the Society 5.0. The developments will be focused on the social and human-centric aspect of the tools and technologies introduced under the framework of Industry 4.0. Therefore, sustainability and human well-being will be at the heart of what comes next, the Industry 5.0, as a subset of Society 5.0. Industry 5.0 will build on the foundations laid during Industry 4.0 by emphasizing human-centered, resilient, and sustainable design. Consequently, the authors in this research work, through a critical literature review, aim to provide adequate reasoning for considering Industry 5.0 as a framework for enabling the coexistence of industry and emerging societal trends and needs. The contribution of this research work extends to the provision of a framework to facilitate the transition from Industry 4.0 to Society 5.0.

This work presents a digital-twin-based framework focused on orchestrating human-centered processes toward Industry 5.0. By including workers and their digital replicas in the loop of the digital twin, the proposed framework extends the traditional model of the factory’s digital twin, which instead does not adequately consider the human component. The overall goal of the authors is to provide a reference architecture to manufacturing companies for a digital-twin-based platform that promotes harmonization and orchestration between humans and (physical and virtual) machines through the monitoring, simulation, and optimization of their interactions. In addition, the platform enhances the interactions of the stakeholders with the digital twin, considering that the latter cannot always be fully autonomous, and it can require human intervention. The paper also presents an implemented scenario adhering to the proposed framework’s specifications, which is also validated with a real case study set in a factory plant that produces wooden furniture, thus demonstrating the validity of the overall proposed approach.

Today, Industry 5.0 can be regarded as the latest stage of industrial revolution, where collaboration between humans and smart technologies reaches a new level. This editorial presents insights into Industry 5.0. It explains the concept of Industry 5.0 according to the latest developments, in its three fundamental pillars: human-centric, sustainable, and resilient. Finally, it discusses how Industry 5.0 can contribute to sustainability.

ABSTRACT Education today is not simple nor does it occur in isolation. Educators, now more than ever, are teaching within the global context of calls to action for truth and reconciliation with Indigenous communities around the world and a growing awareness of the damage caused by unsustainable human consumption of the environment. Drawing from an ongoing professional development project involving educators across four childcare centres, this article explores “leveling up” using Pedagogical Documentation and Barad (2007) diffractive thinking to explore new ways to help our human-centred and colonised minds understand Indigenous world views and see ourselves as part of the environment. The way we view PD must be considered critically, knowing that when we work to name, produce, catalyse and move learning forward we must also attend to how various matters have come to matter and how we (as observers and documenters) are part of this relational encounter. What we name as educative in the teaching and learning processes rests on our world view. This article addresses the question: How might leveling up and diffractive methodology inform our use of Pedagogical Documentation and take us beyond traditional human centred and bounded ways of seeing the world and curriculum?

Evolving technology and human-machine interaction are two major stances that question human centricity as a core dimension for the future placement of human variables and social perspectives inside intelligent systems. The present paper explores present challenges and an up to date research synthesis concerning social sciences dimensions, theories, concepts and implementation with regard to the study of human centred artificial intelligence. The main scope consists of drawing several red lines for future research and theoretical social insights on artificial intelligence at work. Following a scholarly literature insight and several reference works, the study explores major topics of interest analysed so far and proposes new directions for the evaluation of human variables and machine learning at work in an organizational setting. Results showed there is a vital need for expanding research from human centricity point of view on the present matter, where studies are still scarce and heterogenous. Moreover, concept clarification and theoretical explanations are yet to be sufficient in explaining people interactions and management of artificial intelligence at the workplace. In conclusion human empowerment at work through ethical and person oriented intelligent systems in a given organizational context can ensure a fair and efficient development of people’s skills, professional objectives or level of performance while promoting human values, ethical principles and preserving the well-being. The paper presents also several practical implications of social sciences domain on artificial intelligence exploration and a few future directions for research.

In the context of Industry 5.0, the concept of the Metaverse aligns with the vision of Web 4.0, representing a digital ecosystem where individuals and organizations collaborate in a human-centric approach to create personalized value. This virtual universe connects multiple interconnected worlds, enabling real-time interactions between users and computer-generated environments. By integrating technologies like artificial intelligence (AI), virtual reality (VR), and the Internet of Things (IoT), the Metaverse within Industry 5.0 aims to foster innovation and enhance productivity, efficiency, and overall well-being through tailored and value-driven solutions. Therefore, this entry explores the concept of the Metaverse in the context of Industry 5.0, highlighting its definition, evolution, advantages, and disadvantages. It also discusses the pillars of technological advancement, challenges, and opportunities, including its integration into manufacturing. The entry concludes with a proposal for a conceptual framework for integrating the human-centric Metaverse into manufacturing.

PurposeThis research looks into the revolutionary potential of Industry 5.0, healthcare, sustainability and the metaverse, with a focus on the transformation of healthcare firms through cutting-edge technologies such as artificial intelligence (AI) and Internet of Things (IoT). The study emphasizes the significance of sustainability, human-machine collaboration and Industry 5.0 in the development of a technologically advanced, inclusive and immersive healthcare system.Design/methodology/approachThe study surveyed 354 medical professionals and used structural equation modeling (SEM) to investigate healthcare sustainability, Industry 5.0 and the metaverse, emphasizing the integration of modern technology while maintaining ethical issues.FindingsThe findings highlight Industry 5.0’s and the metaverse’s transformational potential in healthcare firms. The study finds that human centricity (HC) has only a minor direct impact on healthcare sustainability, whereas intelligent automation (IA) and innovation (INN) play important roles that are regulated by external factors.Practical implicationsUtilizing IA inside healthcare organizations can result in significant industrial advancements. However, these organizations must recognize the importance of moderating factors and attempt to find a balance between INN and thesev restraints.Originality/valueThis study makes a substantial contribution to the field by investigating the potential of Industry 5.0, healthcare, sustainability and the metaverse. It discusses how these advances can transform healthcare firms, with an emphasis on patient-centered treatment, environmental sustainability and data ethics. The study emphasizes the importance of having a thorough awareness of these trends and their implications for healthcare practices.

The Construction 5.0 paradigm is the next phase in industrial development that aims to combine the skills of human experts in partnership with efficient and precise machines to achieve production solutions that are resource-efficient and preferred by clients. This study reviewed the evolution of the Construction 5.0 paradigm by defining its features and diverse nature. It introduced the architecture, model, and system of Construction 5.0 and its key enablers: Operator 5.0, Society 5.0, human-centricity, sustainability, and resilience. The study used the SEM method to evaluate the research model and investigate the causal relationships among the key enablers of the Construction 5.0 paradigm. Nine vital hypotheses were proposed and assessed comprehensively. The critical enablers’ variables were measured to examine the constructs’ reliability and validity. The key findings showed that Construction 5.0 prioritizes collaboration between humans and machines, merges cyberspace with physical space, and balances the three pillars of sustainability (economy, environment, and society), creating a relationship among Operator 5.0, Society 5.0, human-Ccentricity, sustainability, and resilience. The study also discussed the limitations and challenges and offered suggestions for future research. Overall, Construction 5.0 aims to achieve sustainable development and become a robust and resilient provider of prosperity in an industrial community of a shared future. The study expects to spark debate and promote pioneering research toward the Construction 5.0 paradigm.

Human–robot collaboration is becoming increasingly important in industrial assembly. In view of high cost pressure, resulting productivity requirements, and the trend towards human-centered automation in the context of Industry 5.0, a reasonable allocation of individual assembly tasks to humans or robots is of central importance. Therefore, this article presents a new approach for dynamic task allocation, its integration into an intuitive block-based process planning framework, and its evaluation in comparison to both manual assembly and static task allocation. For evaluation, a systematic methodology for comprehensive assessment of task allocation approaches is developed, followed by a corresponding user study. The results of the study show for the dynamic task allocation on the one hand a higher fluency in the human–robot collaboration with good adaptation to process delays, and on the other hand a reduction in the cycle time for assembly processes with sufficiently high degrees of parallelism. Based on the study results, we draw conclusions regarding assembly scenarios in which manual assembly or collaborative assembly with static or dynamic task allocation is most appropriate. Finally, we discuss the implications for process planning when using the proposed task allocation framework.

Digital manufacturing is rapidly evolving; however, this transformation is predominantly technology centric. Human-centric manufacturing shifts the paradigm for the digital manufacturing enterprise towards a human focus to realising its envisioned digital future. In that context, Digital Manufacturing Ireland (DMI), Ireland's expert body for driving digital adoption across manufacturing, initiated a research study in collaboration with two research partners, MIT and IAAE, in support of this important focus for future manufacturing. This paper discusses results of the DMI 2023 human-Centric Manufacturing Culture Study, which engaged manufacturing leaders from 11 MedTech companies with major manufacturing sites in Ireland. Overall findings are discussed, with a focus on 12 emergent themes grouped in four categories: imperatives, values, strategies, and practices. Planned collaboration initiatives and anticipated future research are described. This paper also highlights considerations regarding new thinking needed by manufacturing leaders, along with recommendations as to what leaders can begin to do differently.