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Extended reality (XR) enables both new opportunities but also introduces new barriers for inclusion in society. Furthermore, XR is less researched than web, desktop and mobile applications. This position paper presents the concept of an XR platform for inclusion, with the purpose to make people on the autism spectrum and with other disabilities, more independent of help from others in everyday life situations. Based on previous research, our position is that, through current and future XR technologies combined with civic and artificial intelligence, it is possible to create individually personalised support for this purpose, grounded in practice to ensure validation. [ABSTRACT FROM AUTHOR]

Recently, I was at a Microsoft Technology Center to discuss the augmented reality (AR) technology developed in my lab for treatment of post-traumatic stress disorder (PTSD). We also explored the possibility of using artificial intelligence (AI) to automate interactions with digital AR characters. We were also given a tour of the Microsoft 365 Copilot AI technology. This experience, along with my upcoming experiences with the rapidly evolving and publicly available AI technology, triggered a series of questions and reflections about the use of AI in scientific work and writing. In this article, the author reflects upon recent advancements in artificial intelligence (AI) technologies have led to profound discussions about AI's role in scientific research and education. AI technologies are now capable of summarizing and analyzing large volumes of data, creating presentations, and even drafting parts of scientific papers and grants with minimal human input. With their exponential ongoing advancements, they will become even more capable in doing these tasks. As boundaries between humans and AI blurs, serious questions arise about the future roles, responsibilities, and identity of academic researchers, intellectual property, publishing and grantsmanship, and equity in the world of AI potentiated research. [ABSTRACT FROM AUTHOR]

In augmented reality (AR) headset devices, virtual image visibility and power consumption are major challenges. In this paper, we presented smart pixelated dimmer that locally enhance the ambient contrast ratio. The dimmer is integrated with image sensor and low‐power edge AI processor to control the dimming automatically. Adopting smart pixelated dimmer provides AR devices the possibility to operate in high brightness environment. [ABSTRACT FROM AUTHOR]

Holographic near‐eye displays promise unprecedented capabilities for virtual and augmented reality (VR/AR) systems; they can accurately reproduce focus cues, improve power efficiency, and correct for optical aberrations. However, the image quality achieved by traditional holographic displays is limited, and algorithms for computer‐generated holography (CGH) are slow. In this paper, we review emerging artificial intelligence‐enabled holographic near‐eye displays that promise to solve these long‐standing challenges. [ABSTRACT FROM AUTHOR]

This paper presents the development of a 3D digital model of end-of-service-life buildings to facilitate a step change in preparation of pre-demolition protocols that can eliminate problems of inadequate documentation and extensive time spent in preparing pre-demolition audits. The 3D digital model consists of the following four main components: (i) digitization of paper-based drawings and their conversion to CAD; (ii) automated generation of a 3D digital model from CAD; (iii) corrections to the 3D digital model to account for changes in the lifetime of a building; (iv) a sub-model for performing pre-demolition audit. This paper proposes the innovative approaches of incorporating a minimal amount of human intervention to overcome numerous difficulties in automated drawing analysis, application of augmented reality (AR) in corrections to the 3D digital model, and data compatibility for pre-demolition audit. These processes are demonstrated using one building as case study. Using the digital model, a pre-demolition audit can be prepared in minutes rather than the many days required in current practice without a digital model. The accurate quantification of the quantities and locations of different demolition waste materials and products in buildings to be demolished will enable a systematic and quantitative evaluation of potentials of material and product reuse and eliminate contamination of different demolition waste streams (which may contain hazardous waste), which is the main cause of environmental degradation and downcycling of demolition waste materials. [ABSTRACT FROM AUTHOR]

The last decade saw the emergence of highly autonomous, flexible, re-configurable Cyber-Physical Systems. Research in this domain has been enhanced by the use of high-fidelity simulations, including Digital Twins, which are virtual representations connected to real assets. Digital Twins have been used for process supervision, prediction, or interaction with physical assets. Interaction with Digital Twins is enhanced by Virtual Reality and Augmented Reality, and Industry 5.0-focused research is evolving with the involvement of the human aspect in Digital Twins. This paper aims to review recent research on Human-Centric Digital Twins (HCDTs) and their enabling technologies. A systematic literature review is performed using the VOSviewer keyword mapping technique. Current technologies such as motion sensors, biological sensors, computational intelligence, simulation, and visualization tools are studied for the development of HCDTs in promising application areas. Domain-specific frameworks and guidelines are formed for different HCDT applications that highlight the workflow and desired outcomes, such as the training of AI models, the optimization of ergonomics, the security policy, task allocation, etc. A guideline and comparative analysis for the effective development of HCDTs are created based on the criteria of Machine Learning requirements, sensors, interfaces, and Human Digital Twin inputs.

Holography promises unprecedented capabilities for augmented reality (AR) display systems, but the current achievable image quality is quite limited. We leverage Neural Holography, a family of artificial intelligence‐driven computer‐generated holography (CGH) techniques, to enable two holographic see‐through AR displays: a lightguide coupled near‐eye display (NED) and a partial reflective head‐up display (HUD). Experimental results demonstrate the promise of enabling next‐generation AR 3D holographic displays. [ABSTRACT FROM AUTHOR]

As the global community faces the escalating challenges posed by climate change, there is an increasing need for innovative tools that enhance public awareness and understanding of the complex and dynamic nature of environmental shifts. This paper introduces a Climate Change Visualization Awareness System (CCVAS), designed to bridge the gap between scientific data and public comprehension through immersive and accessible visualizations. Leveraging cutting-edge technologies, including augmented reality, interactive mapping, and data analytics, CCVAS provides users with real-time and historical insights into key climate indicators such as temperature variations, sea level rise, and extreme weather events. The CCVAS employs a user-centric approach, tailoring information to diverse audiences and promoting engagement through intuitive interfaces. Community engagement features facilitate collaborative efforts among users, enabling the sharing of experiences, knowledge, and initiatives aimed at addressing climate change challenges at the local and global levels. Users will be able to participate in discussions, organize events, and access community-driven resources within the CCVAS platform. Personalized user profiles enable individuals to customize their climate change experience within CCVAS, tailoring content and visualizations to their specific interests, expertise, and geographical locations. By providing personalized recommendations, alerts, and action plans based on user preferences and behavior, CCVAS will empower individuals to take meaningful steps towards climate resilience and sustainability in their daily lives. This paper outlines the architecture, functionality, and potential applications of the Climate Change Visualization Awareness System. [ABSTRACT FROM AUTHOR]

The article discusses the met averse services and business models and Met averse architectures. Topics include the ways of social interaction are significantly augmented with persistent virtual content, consumed via VR or AR; met averse is an emerging concept which embraces three important elements, and Experimental demonstrations and prototypes of met averse.

The article reports that The metaverse is an emerging concept which embraces three important elements. First, it embraces a social element, i.e. it is not only a virtual space where users spend time (and money) on their own or with a selected few. Rather, the metaverse is intended to resonate with the very social fabric which underpins human society.

"An Interactive Augmented Reality Graph Visualization for Chinese Painters" [[2]]: This paper describes an interactive AR system that allows Chinese painters to explore and visualise complex graphs in an intuitive and immersive way. VR and AR technologies have seen tremendous progress in recent years, enabling novel and exciting ways to interact within virtual environments. Virtual Reality (VR) and Augmented Reality (AR) technologies have the potential to revolutionise the way we interact with digital content. [Extracted from the article]

Purpose: By a thorough bibliometric examination of the area through time, this paper analyses the research landscape of metaverse in education. It is an effort that is focused on the metaverse research trends, academic production and conceptual focus of scientific publications. Design/methodology/approach: The Web of Science (WoS) database was explored for information containing research articles and associated publications that met the requirements. For a thorough analysis of the trend, thematic focus and scientific output in the subject of metaverse in education, a bibliometric technique was used to analyse the data. The bibliometrix package of R software, specifically the biblioshiny interface of R-studio, was used to conduct the analysis. Findings: The analysis of the metaverse in education spanning from 1995 to the beginning of 2023 reveals a dynamic and evolving landscape. Notably, the field has experienced robust annual growth, with a peak of publications in 2022. Citation analysis highlights seminal works, with Dionisio et al. (2013) leading discussions on the transition of virtual worlds into intricate digital cultures. Thematic mapping identifies dominant themes such as "system," "augmented reality" and "information technology," indicating a strong technological focus. Surprisingly, China emerges as a leading contributor with significant citation impact, emphasising the global nature of metaverse research. The thematic map suggests ongoing developments in performance and future aspects, emphasising the essential role of emerging technologies like artificial intelligence and virtual reality. Overall, the findings depict a vibrant and multidimensional metaverse in education, poised for continued exploration and innovation. Originality/value: The study is among the pioneers that provide a comprehensive bibliometric analysis in the area of metaverse in education which will guide the novice researchers to identify the unexplored areas. [ABSTRACT FROM AUTHOR]

Purpose: The paper aims to provide a comprehensive analysis of artificial intelligence's (AI) transformative impact on the real estate industry. By examining various AI applications, from property recommendations to compliance automation, this study highlights potential benefits such as increased accuracy and efficiency. At the same time, this study critically discusses potential drawbacks, like privacy concerns and job displacement. The paper's goal is to offer valuable insights to industry professionals and policy makers, aiding strategic decision-making as AI continues to reshape the landscape of the real estate sector. Design/methodology/approach: This paper employs an extensive literature review, combined with a qualitative analysis of case studies. Various AI applications in the real estate industry are examined, including machine learning for property recommendations and valuation, VR/AR property tours, AI automation for contract and regulatory compliance, and chatbots for customer service. The study also delves into the optimisation potential of AI in building management, lead generation, and risk assessment, whilst critically discussing potential challenges such as data privacy, algorithmic bias, and job displacement. The outcomes aim to inform strategic decisions for industry professionals and policy makers. Findings: The study finds that AI has significant potential to revolutionise the real estate industry through enhanced accuracy in property valuation, efficient automation and immersive AR/VR experiences. AI-driven chatbots and optimisation in building management also hold promise. However, this study also uncovers potential challenges, including data privacy issues, algorithmic biases, and possible job displacement due to increased automation. The insights gleaned from this study underscore the importance of strategic decision-making in harnessing the benefits of AI while mitigating potential drawbacks in the real estate sector. Practical implications: The paper's practical implications extend to industry professionals, policy makers, and technology developers. Professionals gain insights into how AI can enhance efficiency and accuracy in the real estate sector, guiding strategic decision-making. For policy makers, understanding potential challenges like data privacy and job displacement informs regulatory measures. Technology developers can also benefit from understanding the sector-specific applications and concerns raised. Additionally, highlighting the need for addressing algorithmic bias and privacy concerns in AI systems may foster better design practices. Therefore, the paper's findings could significantly shape the future trajectory of AI integration in real estate. Originality/value: The paper provides original value by offering a comprehensive analysis of the transformative impact of AI in the real estate industry. Its multi-faceted examination of AI applications, coupled with a critical discussion on potential challenges, provides a balanced perspective. The paper's focus on informing strategic decisions for professionals and policy makers makes it a valuable resource. Moreover, by considering both benefits and drawbacks, this study contributes to the discourse on AI's broader societal implications. In the context of rapid technological change, such comprehensive studies are rare, adding to the paper's originality. [ABSTRACT FROM AUTHOR]

Addressing the limitations of current digital simulations for historical buildings, this paper suggests a specific technical task for the development of a simulation analysis platform based on City Intelligent Modelling (CIM). The objective is to establish a systematic approach for digitally maintaining and managing historical dwellings. The technique presented in this paper focuses on constructing sophisticated parametric models that offer numerous modelling benefits, allowing for convenient updates to the Historic Building Information Modelling (HBIM). The text discusses various applications and integrations of Building Information Modelling (BIM) in urban planning, construction projects, and historic building renovations. CIM is presented as a comprehensive digital platform that visually represents cities, aiding urban planners in decision-making for sustainable development. The text delves into the use of advanced analytical tools within CIM for diverse data analysis, predictive modelling, and simulation to forecast trends. The focus shifts to the evolution of BIM, progressing from 3D to 5D models, influencing construction project management and cost estimation. The integration of BIM in historic building projects is explored, emphasising the challenges and proposing innovative solutions using HBIM. The paper also introduces the concept of Infrastructural Building Information Modelling (InfraBIM) in construction management, incorporating Virtual and Augmented Reality for enhanced visualisation. [ABSTRACT FROM AUTHOR]

Purpose: Artificial intelligence (AI) allows the brand to co-create value with young customers through mobile apps. However, as many brands claim that their mobile apps are using the most updated AI technology, young customers face app fatigue and start questioning the authenticity of this touchpoint. This paper aims to study the mediating effect of authenticity for the value co-creation of AI-powered branded applications. Design/methodology/approach: Drawing from regulatory engagement theory, this study conceptualize authenticity as the key construct in customers' value experience process, which triggers customer value co-creation. Two scenario-based online experiments are conducted to collect data from 444 young customers. Data analysis is performed using ANOVA and Process Hayes. Findings: The results reveal that perceived authenticity is an important mediator between media richness (chatbot vs AI text vs augmented reality) and value co-creation. There is no interaction effect of co-brand fit (high vs low) and source endorsement (doctor vs government) on the relationship between media richness and perceived authenticity, whereas injunctive norms (high vs low) strengthen this relationship. Practical implications: The finding provides insights for marketing managers on engaging young customers suffering from app fatigue. Authenticity holds the key to young customers' technological perceptions. Originality/value: This research highlights the importance of perceived authenticity in encouraging young customers to co-create value. Young customers consider authenticity as a motivational force experience that involves customers through the app's attributes (e.g. media richness) and social standards (e.g. norms), rather than brand factors (e.g. co-brand fit, source endorsement). [ABSTRACT FROM AUTHOR]

The evolution of digital technologies has resulted in the emergence of diverse interaction technologies. In this paper, we conducted a review of seven domains under a human-centric approach user interface design, human-centered web-based information systems, semantic knowledge representation, X-reality applications, human motion and 3D digitization, serious games, and AI. In this review, we studied these domains concerning their impact on the way we interact with digital interfaces, process information, and engage in immersive experiences. As such, we highlighted the shifts in design paradigms, user-centered principles, and the rise of web-based information systems. The results of such shifts are materialized in modern immersive technologies, semantic knowledge representation, serious games, and the facilitation of artificial intelligence for interactions. Through this exploration, we aimed to assist our understanding of the challenges that lie ahead. The seamless integration of technologies, ethical considerations, accessibility, education for technological literacy, interoperability, user trust, environmental sustainability, and regulatory frameworks are becoming significant. These challenges present opportunities for the future to enrich human experiences while addressing societal needs. This paper lays the groundwork for thoughtful and innovative approaches to the challenges that will define the future of human–computer interaction and information technologies. [ABSTRACT FROM AUTHOR]

Purpose: Amidst ongoing digital transformation, the current paper provides a 360-degree overview of technology-adoption in Tourism and Hospitality. By combining and consolidating a wide range of sources, mainly in the tourism literature, the analysis depicts how the complex technological ecosystem often enhances or hinders the successful adoption, integration and interoperability of different technologies. Design/methodology/approach: The critical review method was used to assess, analyse and synthesise existing literature in the area of digitisation in tourism and hospitality. The critical review process included a thematic analysis of the literature, where recurring themes, patterns and trends were identified towards addressing the study's research questions. Findings: The analysis identifies current trends, opportunities, challenges and strategies for technology adoption in tourism and hospitality, the implications for theory, practicable executive directions and avenues for further research. Originality/value: The paper's main contribution lies in its comprehensive identification, consideration and incorporation of all primary contemporary technological elements, and the ensuing development of a corresponding conceptual charting framework, which illustrates a multifaceted process with practical implications for various stakeholders, including businesses, authorities, consumers and employees. [ABSTRACT FROM AUTHOR]

The world faces the continuously increasing issue of a lack of skilled employees, staff migration, and turnover. It is strengthened by unexpected situations such as wars, pandemics, and other civilization crises. Solutions are sought and researched in various branches of industry and academia, including engineering, social sciences, management, and political and computer sciences. From the viewpoint of this paper, this is a side topic of Industry 4.0 and, more specifically, sustainability in working environments, and the issue is related to production employees who perform manual operations. Some of the tasks cannot be carried out under robotization or automation; therefore, novel human-work support tools are expected. This paper presents such highly demanded support tools related to augmented reality (AR) and artificial intelligence (AI). First, a panoramic literature review is given. Secondly, the authors explain the main objective of the presented contribution. Then the authors' achievements are described—the R&D focus on such solutions and the introduction of the developed tools that are based on AR and AI. Benefits connected to the AR-AI technology applications are presented in terms of both time savings with the tool usage and job simplification, enabling inexperienced, unskilled, or less skilled employees to perform the work in the selected manual production processes. [ABSTRACT FROM AUTHOR]

The Augmented Reality (AR) techniques for the buyer's industry are established and suitable for multiple uses. As seen in the wellness sector, with more publications on the use of augmented reality in surgery, medicine, and rehabilitation, there is a high demand for solutions that can enhance clinical practice. This paper aims to offer technicians, computer scientists, and users an overview of AR technologies' possibility of developing beneficial applications shortly. This paper explores the foundational components and development methodologies crucial to effective Medical Augmented Reality Systems (MARS). It also aims to guide academic research toward overcoming technological and human-factor issues in current devices and popular modalities for enriching visual sensations with computer-generated elements. Six submissions have been accepted after being assessed by authorities in their academic fields. This paper presents examples of uses for medical treatment, spanning interactions between physicians and patients, surgery, rehabilitation, and fear treatments. This paper illustrates the framework's application and its potential to revolutionize medical practices, fostering interdisciplinary collaboration between technology and healthcare domains. [ABSTRACT FROM AUTHOR]

Building energy system management is critical for resource-saving approaches amid climate change-driven energy transitions. This paper presents a digital twin toolchain leveraging modern technologies such as Building Information Modeling (BIM), Artificial Intelligence (AI), Virtual Reality (VR), and Augmented Reality (AR). The toolchain automates the derivation of georeferenced digital twins during Technical Building Equipment (TBE) commissioning. Using a Scan vs. BIM process, discrepancies between as-planned and as-built TBE are identified, allowing automatic updates to the BIM model. Validation methods ensure both physical and functional aspects of the TBE are accurate. VR and AR facilitate off- and on-site commissioning, enabling immersive visualization and live sensor data access. An evaluation in small and large-scale demonstrators shows the toolchain's scalability and efficiency, with promising results in performance and accuracy. Future work aims to integrate more operational data, enhancing the digital twin's capabilities for building energy system management. [ABSTRACT FROM AUTHOR]

In this paper, a definition outlining the scope and goals of the field of Cognitive Aspects of Virtual Reality (cVR) is provided. Leading up to and alongside the definition, the paper includes a discussion on the background behind cVR – with a special focus on new human-AI capablities driven by cognitive, psychological, social and technological factors. Finally, the paper provides an outline of related research fields that can act as synergies in relation to cVR, while at the same time formulates questions and hypotheses that may drive future research in cVR. [ABSTRACT FROM AUTHOR]

Pavement Management Systems (PMS) offers a systematic collection, storage, analysis, and modeling of road condition data to optimize resources across a road network. Adding artificial intelligence (AI) and augmented reality (AR) to PMS could improve their technical or visual aspects. This paper tries to identify a method to improve the understanding of the consequences of the city council's decisions in the urban pavement management system field. This paper establishes the potential of AR. It provides future maintenance and rehabilitation (M&R) actions needed based on the recommendation of the future distress in the study area. The road cracks are discovered through technical analysis, and a CityEngine model is established based on the PMS results. Additionally, in terms of visualization, this paper's unique feature delivers the result as an AR experience. Applying the Unity game engine and importing the built CityEngine model and the embedded textures as input empowered us to provide a dynamic product in terms of data and analysis and a real-time Decision Support System (DSS) for the final users. This paper concludes that researchers need many different modules to design and implement an efficient PMS to move toward a smart PMS. The smart city concept is meaningless without a tight collaboration between all distinctive parts of each urban infrastructure management system. Additionally, this paper attempts to provide answers for researchers and an outlook for future research, the development of the proposed method, and its application in other fields [ABSTRACT FROM AUTHOR]

The retail industry is constantly evolving, and supermarkets are facing increasing competition from online retailers. To remain competitive, supermarkets must enhance the customer experience and offer more personalized and interactive services. However, customers are often faced with the challenge of finding relevant product information in a timely and efficient manner. This can be frustrating and time-consuming and may even result in lost sales. Therefore, there is a need for a solution that can provide customers with quick and easy access to relevant product information, while also enhancing the overall shopping experience. The proposed solution, an AR-based customer experience enhancement system for supermarkets, aims to address this problem by providing customers with a more intuitive way to navigate the store, find products, and access detailed product information using their smartphones. This research paper presents a comprehensive study on the development and implementation of an augmented reality (AR) retail application. The application is designed to enhance the shopping experience by providing users with a range of features, including an AR product visualizer with product information and ratings, store layout navigation using beacon technology, product recommendation using a hybrid approach of collaborative filtering and content-based filtering, and crowd route simulation to optimize product placement. The mobile application is developed using React Native, a popular framework for cross-platform app development. [ABSTRACT FROM AUTHOR]

The rapid development of Internet of things mobile application technology and artificial intelligence technology has given birth to a lot of services that can meet the needs of modern life, such as augmented reality technology, face recognition services, and language recognition and translation, which are often applied to various fields, and some other aspects of information communication and processing services. It has been used on various mobile phone, computer, or tablet user clients. Terminal equipment is subject to the ultralow latency and low energy consumption requirements of the above-mentioned applications. Therefore, the gap between resource-demanding application services and resource-limited mobile devices will bring great problems to the current and future development of IoT mobile applications. Based on the local image features of depth images, this paper designs an image detection method for athletes' motion posture. First, according to the characteristics of the local image, the depth image of the athlete obtained through Kinect is converted into bone point data. Next, a 3-stage exploration algorithm is used to perform block matching calculations on the athlete's bone point image to predict the athlete's movement posture. At the same time, using the characteristics of the Euclidean distance of the bone point image, the movement behavior is recognized. According to the experimental results, for some external environmental factors, such as sun illumination and other factors, the image detection method designed in this paper can effectively avoid their interference and influence and show the movement posture of athletes, showing excellent accuracy and robustness in predicting the movement posture of athletes and action recognition. This method can simplify a series of calibration tasks in the initial stage of 3D video surveillance and infer the posture of the observation target and recognize it in real time. The one that has good application values has specific reference values for the same job. [ABSTRACT FROM AUTHOR]

This paper concerns the aptitudes of medical staff to explore new therapies and training exercises for image-assisted robotic diligent interventions. This exploration can be carried out using physical, digital, or both copies of patients. Such physical and digital phantoms should approximate real living tissues through realistic biological properties. Such a realistic assessment could be achieved through strategies to reduce physical and numerical uncertainties. The concept of physical-virtual matched pairs is used in image-assisted robotic interventions to enable such reduction. The present commentary aimed to analyze and illustrate possibilities for increasing the capabilities of medical personnel to explore new therapies and training exercises for image-assisted robotic diligent interventions. In this context, the manuscript focused on the use of the physical-virtual digital twin (DT) concept to monitor image-assisted robotic interventions, thereby reducing the complexity and uncertainties involved in such a procedure. Extensions involve robotic operations assisted by human-in-the-loop DT, artificial intelligence (AI), and augmented reality (AR). The various topics covered in this commentary are supported by a review of the literature. [ABSTRACT FROM AUTHOR]

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The successful implementation of Human–Robot Collaboration (HRC) has become a prominent feature of smart manufacturing environments. Key industrial requirements, such as flexibility, efficiency, collaboration, consistency, and sustainability, present pressing HRC needs in the manufacturing sector. This paper provides a systemic review and an in-depth discussion of the key technologies currently being employed in smart manufacturing with HRC systems. The work presented here focuses on the design of HRC systems, with particular attention given to the various levels of Human–Robot Interaction (HRI) observed in the industry. The paper also examines the key technologies being implemented in smart manufacturing, including Artificial Intelligence (AI), Collaborative Robots (Cobots), Augmented Reality (AR), and Digital Twin (DT), and discusses their applications in HRC systems. The benefits and practical instances of deploying these technologies are showcased, emphasizing the substantial prospects for growth and improvement in sectors such as automotive and food. However, the paper also addresses the limitations of HRC utilization and implementation and provides some insights into how the design of these systems should be approached in future work and research. Overall, this paper provides new insights into the current state of HRC in smart manufacturing and serves as a useful resource for those interested in the ongoing development of HRC systems in the industry. [ABSTRACT FROM AUTHOR]

The advent of 2D graphical user interfaces in the 1980s shifted user interactions from line-based terminals to icon- based interfaces. As smartphones emerged in the 2010s, portable 2D graphical interfaces became a reality, liberating users from being confined to a single location when accessing digital services. These transformations have profoundly altered our understanding of digital information systems, with impacts that cannot be easily quantified. Current advancements in virtual and augmented reality (VR/AR), the Internet of Things (IoT), and artificial intelligence (AI) are on the verge of ushering in the next significant leap in cognitive expansion, introducing portable and highly contextual spatial interfaces, also sometimes referred to as Digital Realities (DRS). As a result, users now anticipate the ability to engage with an increasing array and variety of digital content in ways that are more contextualized and tailored to their needs, taking into account factors such as time, location, personalized goals and user-specific histories. In this paper, we aim to give an overview of cognitive aspects relevant to content integration and management specifically in DR environments, and to propose solutions and/or best practices to address them. Our discussion is centered around a paradigm called the Doing- When-Seeing (DWS) paradigm, which we propose for the design of Digital Reality interfaces. We demonstrate the applicability of this paradigm to the design of interfaces for creating content, organizing content, and semantically representing and retrieving content within 3D Digital Reality environments. [ABSTRACT FROM AUTHOR]

Recent years witness the rapid development of the internet of things and artificial intelligence, which ignites the worldwide research needs for flexible electronics to fulfill intelligent human–machine interfaces. As a promising future technology, the flexible epidermal electrode attracts great research enthusiasm in the field of intelligent robots, human–machine interfaces, virtual and augmented reality, medical treatment, health monitoring, and other emerging applications. However, it is still the main challenge to enhance the vertical charge conduction bridging the interface of metal electrode and human skin, which constructs an insurmountable obstacle for wide usage. In this article, a low-cost embossing fabrication is introduced to pattern a stretchable epidermal electrode device that consists of a carbon-nanotube (CNT)-composed metal thin film. Benefited from the excellent flexibility and stretchability, the fabricated electrode can conformably attach to the skin and collect high-quality bioelectrical signals. Moreover, this epidermal electrode features good conductivity along the vertical path for acquiring the epidermal charge, due to conductive CNTs bridging the interface of skin and this epidermal electrode. With this device structure configuration, the impedance between skin and epidermal electrode could effectively reduce by more than 50%. The conformal contact mechanism relies upon an ultra-thin metal film on skin texture, which makes the device achieves high sensitivity and durability in a human–machine interface. The electrocardiogram (ECG) and electromyography (EMG) demonstration and gesture recognition further conclude that this technology has a chance to bring up the potential of clinical applications as a human–machine interface. [ABSTRACT FROM AUTHOR]

The rapid advancement of technology and the ever-changing global landscape have presented unique challenges and opportunities for educational systems worldwide. The introduction of the BANI (Brittle, Anxious, Nonlinear, Incomprehensible) framework as a response to the volatile and unpredictable nature of contemporary environments has further emphasized the need for innovative approaches to education. This paper explores the innovative development of educational systems within the BANI environment, focusing on the integration of emerging technologies, pedagogical strategies, and learner-centred approaches. The paper begins by providing a comprehensive overview of the BANI framework and its implications for educational systems. It highlights the key characteristics of the BANI envi-ronment, including its inherent brittleness, anxiety-inducing nature, nonlinearity, and incomprehensibility. The formal model of interaction between projects and the BANI environment can assess innovation project value for future optimisation. Furthermore, it elucidates the potential consequences of neglecting to adapt educational systems to these volatile conditions, emphasizing the importance of innovation in education. Drawing upon recent research and theoretical frameworks, the paper explores various innovative approaches to educational development in the BANI environment. It discusses the integration of emerging technologies, such as artificial intelligence, virtual reality, and augmented reality, into teaching and learn-ing processes. Moreover, it investigates the implementation of learner-centred development strategies that foster critical thinking, problem-solving skills, creativity, and adaptability. The paper addresses the role of educators and institutions in supporting innovative development within the BANI environment. It emphasizes the need for professional development programs that empower educators to leverage emerging technologies and implement learner-centred approaches effectively. Key management of innovative project principles in the BANI environment is defined in the paper. Additionally, it highlights the significance of collaboration among educational stakeholders, including policymakers, administrators, teachers, students, and parents, to foster an ecosystem that nurtures innovation in education. The paper discusses potential challenges and ethical considerations associated with the innovative development of educational systems in the BANI environment. It explores issues related to equity, privacy, data security, and the digital divide, emphasizing the importance of responsible and inclusive approaches to educational innovation. Contributes to the existing literature by providing insights and recommendations for the innovative development of educational systems within the BANI environment. By embracing emerging technologies, learner-centred pedagogies, and collaborative efforts, educational systems can better prepare learners to thrive in uncertain and rapidly changing contexts. [ABSTRACT FROM AUTHOR]

Industry 4.0 has introduced new technological advances such as Additive Manufacturing (AM), Artificial Intelligence (AI), Augmented Reality (AR), Cyber--physical systems (CPS), Blockchain, Cybersecurity and many more. It is also helping organisations to take on challenges like demand fluctuations and market volatility. Industry 4.0 is also the interconnection of computers, materials, and AI with minimal human intervention in decision-making. Although Industry 4.0 has tremendous potential for industrial growth, it has many challenges, such as technical integration, human resource issue, supply chain issues and data security. These challenges are expected to be addressed in the future by Industry 5.0 Industry 5.0 introduced various new technologies such as Predictive maintenance, Hyper customisation in the Industry, Cyber--Physical Cognitive systems, and the introduction of Collaborative Robots. Industry 5.0, with its human-centric approach, helped overcome the various challenges of Industry 4.0. In Industry 4.0, the focus was on sustainability and production volume, whereas in Industry 5.0, the primary focus is on human centricity. This paper's literature review has been done by considering the findings and results discussed in various latest literature. We have listed various technological developments in Industry 5.0 and the advancements to the technologies of Industry 4.0. Industry 5.0 has tackled various issues faced in Industry 4.0, such as data privacy and technical integration issues. Resilience is also one of the critical aspects of Industry 5.0, which contributed towards hyper individualisation and helped make individualised products with specific user needs. This study would provide a base for the researchers and industries to get acquainted with Industry 4.0 technologies, their challenges, the technological advances, and the ways Industry 5.0 overcame the challenges of Industry 4.0. This paper also lists the recent application of these technologies, which would provide an idea of how these technologies can be implemented. Further, the limitations of these studies have been listed, providing an opportunity for future research in this domain. This paper provides a structured review of the technologies of Industry 4.0, the challenges they faced and how they can be removed through the technological advancements of Industry 5.0. [ABSTRACT FROM AUTHOR]

The study further adds evidence to literature on the experience of customers and identifies the attributes that lead to customer satisfaction and those that lead to dissatisfaction are essential for products that were launched recently during the pandemic. Aims to identify the product attributes that influence customer satisfaction related to AI-enabled products with a strong forecast of growth. Artificial intelligence (AI) is reshaping businesses, economic activities and society as a whole in the context of the current state of affairs by transforming human interactions with businesses, customers and employees within trade activities ([7]), as well as AI-driven exchange relationships among various stakeholders and citizens ([5]). [Extracted from the article]

Augmented reality and virtual reality technologies are witnessing an evolutionary change in the 5G and Beyond (5GB) network due to their promising ability to enable an immersive and interactive environment by coupling the virtual world with the real one. However, the requirement of low-latency connectivity, which is defined as the end-to-end delay between the action and the reaction, is very crucial to leverage these technologies for a high-quality immersive experience. This paper provides a comprehensive survey and detailed insight into various advantageous approaches from the hardware and software perspectives, as well as the integration of 5G technology, towards 5GB, in enabling a low-latency environment for AR and VR applications. The contribution of 5GB systems as an outcome of several cutting-edge technologies, such as massive multiple-input, multiple-output (mMIMO) and millimeter wave (mmWave), along with the utilization of artificial intelligence (AI) and machine learning (ML) techniques towards an ultra-low-latency communication system, is also discussed in this paper. The potential of using a visible-light communications (VLC)-guided beam through a learning algorithm for a futuristic, evolved immersive experience of augmented and virtual reality with the ultra-low-latency transmission of multi-sensory tracking information with an optimal scheduling policy is discussed in this paper. [ABSTRACT FROM AUTHOR]