Search Results (160)

The Metaverse, an immersive virtual ecosystem powered by Virtual Reality (VR), Augmented Reality (AR), and Artificial Intelligence (AI), presents a transformative opportunity for education. In India, digital education has grown significantly, yet challenges like accessibility, engagement, and personalization persist. This paper explores the architectural design, tools, and practical implementation of Metaverse-based education in India. A key focus of this study is on the integration of technologies such as VR, AI, and blockchain within the education sector, ensuring secure credentialing, real-time collaboration, and adaptive learning environments. Additionally, this paper examines infrastructural requirements, including affordable VR headsets and high-speed internet connectivity, and highlights the importance of initiatives such as BharatNet in reducing the digital divide. Public–private partnerships are explored as a viable method to fund and scale the Metaverse’s adoption in education. The challenges of cybersecurity risks, content development, and educator training are also discussed, along with mitigation strategies. This study concludes with recommendations for equitable access to Metaverse-based learning environments in India. Full article

The growing demand for real-time human motion reconstruction in Virtual Reality (VR), Augmented Reality (AR), and the Metaverse requires high accuracy with minimal hardware. This paper presents SSR-HMR, a skeleton-aware, sparse node-based method for full-body motion reconstruction from limited inputs. The approach incorporates a lightweight spatiotemporal graph convolutional module, a torso pose refinement design to mitigate orientation drift, and kinematic tree-based optimization to enhance end-effector positioning accuracy. Smooth motion transitions are achieved via a multi-scale velocity loss. Experiments demonstrate that SSR-HMR achieves high-accuracy reconstruction, with mean joint and end-effector position errors of 1.06 cm and 0.52 cm, respectively, while operating at 267 FPS on a CPU. Full article

The rapid adoption of Metaverse technologies in healthcare, particularly for elder safety monitoring, has introduced new security challenges related to the authenticity of virtual representations. As healthcare providers increasingly rely on avatars and digital twins to monitor and interact with elderly patients remotely, ensuring the integrity of these virtual entities becomes paramount. This paper introduces SAVE (Securing Avatars in Virtual Environments), an emerging framework that leverages environmental fingerprinting based on Electric Network Frequency (ENF) signals to authenticate avatars and detect potential deepfake attacks in virtual healthcare settings. Unlike conventional authentication methods that rely solely on digital credentials, SAVE anchors virtual entities to the physical world by utilizing the unique temporal and spatial characteristics of ENF signals. We implement and evaluate SAVE in a Microverse-based nursing home environment designed for monitoring elderly individuals living alone. We evaluated SAVE using a prototype system with Raspberry Pi devices and multiple environmental sensors, demonstrating effectiveness across three attack scenarios in a 30-minute experimental window. Through the experimental evaluation of three distinct attack scenarios, unauthorized device attacks, device ID spoofing, and replay attacks using intercepted data, our system demonstrates high detection accuracy with minimal false positives. Results show that by comparing ENF fingerprints embedded in transmitted data with reference ENF signals, SAVE can effectively identify tampering and ensure the authenticity of avatar updates in real time. The SAVE approach enhances the security of virtual healthcare monitoring without requiring additional user intervention, making it particularly suitable for elderly care applications where ease of use is essential. Our findings highlight the potential of physical environmental fingerprints as a robust security layer for virtual healthcare systems, contributing to safer and more trustworthy remote monitoring solutions for vulnerable populations. Full article

The increasing prevalence of mental health disorders highlights the need for innovative and accessible interventions. Although existing digital meditation applications offer valuable basic guidance, they often lack interactivity, real-time personalized feedback, and dynamic simulation of real-life scenarios necessary for comprehensive experiential training applicable to daily stressors. To address these limitations, this study developed a novel immersive meditation system specifically designed for deployment within a metaverse environment. The system provides mindfulness practice through two distinct modules within the virtual world. The experience-based module delivers AI-driven social interactions within simulated everyday scenarios, with narrative content dynamically generated by large language models (LLMs), followed by guided inner reflection, thereby forming a scenario–experience–reflection cycle. The breathing-focused module provides real-time feedback through a breath-synchronization interface to enhance respiratory awareness. The feasibility and preliminary effects of this metaverse-based system were explored in a two-week, single-group, pre-test/post-test study involving 31 participants. The participants completed a battery of validated psychological questionnaires assessing psychological distress, mindfulness, acceptance, self-compassion, and self-esteem before and after engaging in the intervention. This study provides exploratory evidence supporting the feasibility and potential of immersive metaverse environments and LLM-based scenario generation for structured mental health interventions, providing initial insights into their psychological impact and user experience. Full article

This paper introduces a novel approach to tree modeling architecture integrated with blockchain technology, aimed at enhancing landscape spatial planning and forest monitoring systems. The primary objective is to develop a low-cost, automated tree CAD modeling methodology combined with blockchain functionalities to support smart forest projects and collaborative design processes. The proposed method utilizes a parametric tree CAD model consisting of four 2D tree-frames with a 45° division angle, enriched with recorded tree-leaves’ texture and color. An “AI Text-by-Voice CAD Programming” technique is employed to create tangible tree-model NFT tokens, forming the basis of a thematic “Internet-of-Trees” blockchain. The main results demonstrate the effectiveness of the blockchain/Merkle hash tree in tracking tree geometry growth and texture changes through parametric transactions, enabling decentralized design, data validation, and planning intelligence. Comparative analysis highlights the advantages in cost, time efficiency, and flexibility over traditional 3D modeling techniques, while providing acceptable accuracy for metaverse projects in smart forests and landscape architecture. Core contributions include the integration of AI-based user voice interaction with blockchain and behavioral data for distributed and collaborative tree modeling, the introduction of a scalable and secure “Merkle hash tree” for smart forest monitoring, and the facilitation of fintech adoption in environmental projects. This framework offers significant potential for advancing metaverse-based landscape architecture, smart forest surveillance, sustainable urban planning, and the improvement of citizen involvement in sustainable forestry paving the way for a greener future. Full article

The rapid evolution of the metaverse is driving the development of new digital design tools that integrate Computer-Aided Design (CAD) and Building Information Modeling (BIM) technologies. Core technologies such as Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) are increasingly combined with BIM to enhance collaboration and innovation in design and construction workflows. However, current BIM–VR integration often remains limited to isolated tasks, lacking persistent, multi-user environments that support continuous project collaboration. This study proposes a BIM-based Virtual World (VW) framework that addresses these limitations by creating an immersive, real-time collaborative platform for the Architecture, Engineering, and Construction (AEC) industry. The system enables multi-user access to BIM data through avatars, supports direct interaction with 3D models and associated metadata, and maintains a persistent virtual environment that evolves alongside project development. Key functionalities include interactive design controls, real-time decision-making support, and integrated training capabilities. A prototype was developed using Unreal Engine and supporting technologies to validate the approach. The results demonstrate improved interdisciplinary collaboration, reduced information loss during design iteration, and enhanced stakeholder engagement. This research highlights the potential of BIM-based Virtual Worlds to transform AEC collaboration by fostering an open, scalable ecosystem that bridges immersive environments with data-driven design and construction processes. Full article

The objective of this study is to explore the use of emerging technologies such as the Metaverse and Digital Twin to highlight how these can be used to analyse and improve the perception of security in urban parks. Through the proposed methodological approach, which combines real data collection, 3D modelling, immersive simulations, and user feedback, a virtual environment representative of the Quartieri Spagnoli Park in Naples, chosen as a case study, was developed and tested. The experimentation involved a heterogeneous group of users and consisted of two phases of questionnaire administration, one in person and one in a virtual environment, to compare the individual and collective perceptions of users in relation to issues such as disorientation, lighting, and maintenance. The results obtained made it possible to identify a correspondence between the data collected in the two environments, and to highlight any critical issues that emerged. Undoubtedly, the virtual experience proved to be useful, accessible, and immersive, demonstrating the potential of these tools not only in identifying issues but especially in supporting participatory design and urban planning with a view to a smart city. In urban design, as in many other fields, being able to intervene and test changes in a virtual environment before actually implementing them is a valuable opportunity, as it allows the feasibility to be assessed without compromising the real space. It is precisely this aspect that makes this type of approach extremely interesting and important. The distinctive feature of the proposed approach lies in the implementation of digital twins in the metaverse, which can perform a dual function: simulation and verification. In the first case, simulations within the virtual environment allow project planning to be tested in order to predict the outcome; in the second case, it is possible to investigate the state of affairs, thus assessing whether the planning put in place has achieved the desired results. Full article

Aim: This study extends existing research by focusing specifically on the perceptions of hotel employees, a crucial yet often overlooked group of stakeholders in the adoption of new technologies within the hotel sector. The objective of this research is to investigate the perceptions of hotel employees in Hong Kong regarding the implementation of Metaverse hotels. This study emphasizes their evaluations of the strengths, weaknesses, opportunities, and threats associated with these establishments through a SWOT analysis. Ultimately, the study aims to provide recommendations for addressing technological challenges, supporting employees during the transition, and facilitating adaptation across the industry. Design/Methodology/Approach: A convenience and purposive sampling method is employed to investigate 20 participants, comprising hotel staff from various departments in the Metaverse hotel in Hong Kong. This study adopts a qualitative research design, utilizing semi-structured interviews to gather in-depth insights into the perceptions of the Metaverse hotel among these employees. Purposive sampling ensures that participants have relevant experience and familiarity with VR/AR technologies. Interviews, each lasting 45–60 min, were conducted in person, with informed consent obtained beforehand. Findings: The exploration of hotel employees’ perceptions of Metaverse hotels in Hong Kong underscores the innovative potential of these establishments to enhance operational efficiency and guest engagement, while also offering new training opportunities and streamlining daily tasks. However, employees express concerns about the potential erosion of personal interactions, which are crucial to the hospitality experience, and foresee significant technical and integration challenges. Despite these drawbacks, Metaverse hotels present distinctive opportunities for market differentiation, appealing to tech-savvy guests and generating new revenue streams that contribute to industry growth. Nonetheless, potential threats such as guest skepticism and challenges in industry adaptation highlight the necessity for cautious implementation and robust privacy measures. Balancing these aspects—strengths, weaknesses, opportunities, and threats—will be pivotal for the successful integration of Metaverse technologies into the hotel industry. Theoretical/Practical Implications: Participants recognized that the Metaverse hotel could offer various potential benefits for both employees and businesses, such as enhanced operational efficiencies and new opportunities for guest engagement. Understanding the perceptions of hotel staff towards the Metaverse carries significant real-world implications for shaping policies, practices, and technologies that facilitate its operational success and market acceptance. Leveraging these insights enables the optimization of Metaverse’s advantages while mitigating associated risks and drawbacks. This study advances existing research by focusing specifically on the perceptions of hotel employees, a crucial yet often neglected group of stakeholders in the adoption of new technologies within the hospitality sector. By understanding the perspectives of hotel employees, this research provides valuable insights into the practical challenges and benefits of implementing Metaverse technologies in the hotel industry. Originality/Value: The Metaverse hotel is still relatively new and evolving, making it crucial to conduct research to understand how hotel staff perceive it. However, there is limited research specifically focusing on the perceptions of hotel employees regarding Metaverse hotels. This gap highlights the need for a comprehensive investigation into how employees perceive the strengths, weaknesses, opportunities, and threats of implementing the Metaverse in hotels. Full article

As the Metaverse continues to evolve as a transformative digital ecosystem, its environmental implications remain insufficiently examined within academic discourse. Despite growing interest in its technological and societal impacts, there is a lack of comprehensive evaluations that synthesize existing knowledge on its sustainability potential. This interdisciplinary narrative review addresses this gap by critically exploring how Metaverse technologies intersect with environmental sustainability across key sectors, including education, healthcare, tourism, e-commerce, manufacturing, and urban development. Employing a narrative review methodology informed by a systematic selection of scholarly and industry sources, the study consolidates current practices, emerging opportunities, and notable trade-offs. While the Metaverse presents promising avenues for reducing material consumption, optimizing urban planning through digital twins, and lowering emissions via virtual alternatives to physical travel, it also raises pressing environmental concerns, particularly related to high energy consumption, short hardware lifespans, and the rebound effects of intensified digital engagement. The findings suggest that environmental sustainability within the Metaverse is not inherent to its virtual nature but hinges on deliberate design, regulatory foresight, and the broader energy systems it depends on. This review offers timely insights for policymakers, technology developers, and sustainability advocates seeking to align immersive digital innovation with ecological responsibility and long-term planetary health. Full article

Background: Reverse total shoulder arthroplasty (RTSA) is increasingly used for managing cuff tear arthropathy, osteoarthritis, complex fractures, and revision procedures. As the demand for surgical precision and reproducibility grows, immersive technologies such as virtual reality (VR), augmented reality (AR), and metaverse-based platforms are being explored for surgical training, intraoperative guidance, and rehabilitation. While early data suggest potential benefits, a focused synthesis specific to RTSA is lacking. Methods: This systematic review was conducted in accordance with PRISMA 2020 guidelines. A comprehensive search of PubMed, Scopus, and Cochrane Library databases was performed through 30 May 2025. Eligible studies included those evaluating immersive technologies in the context of RTSA for skill acquisition or intraoperative guidance. Only peer-reviewed articles published in English were included. Data were synthesized narratively due to heterogeneity in study design and outcome metrics. Results: Out of 628 records screened, 21 studies met the inclusion criteria. Five studies evaluated immersive VR for surgical training: four randomized controlled trials and one retrospective case series. VR training improved procedural efficiency and showed non-inferiority to cadaveric training. Sixteen studies investigated intraoperative navigation or AR guidance. Clinical and cadaveric studies consistently reported improved accuracy in glenoid baseplate positioning with reduced angular and linear deviations in postoperative controls as compared to preoperative planning. Conclusions: Immersive technologies show promise in enhancing training, intraoperative accuracy, and procedural consistency in RTSA. VR and AR platforms may support standardized surgical education and precision-based practice, but their broad clinical impact remains limited by small sample sizes, heterogeneous methodologies, and limited long-term outcomes. Further multicenter trials with standardized endpoints and cost-effectiveness analyses are warranted. Postoperative rehabilitation using immersive technologies in RTSA remains underexplored and presents an opportunity for future research. Full article

Virtual influencers (VIs) on e-commerce platforms are becoming increasingly popular, enhancing the consumer experience. This study examines the consumer–brand relationship (CBR) with VIs through the perspective of social presence. Data from 1041 e-commerce platform users (e.g., Douyin, RED, Weibo) were collected and analyzed using Structural Equation Modeling (SEM). The findings reveal that both the visual and mental human-likeness of VIs significantly strengthen CBR, with social presence acting as a mediator. Additionally, the interaction between visual and mental human-likeness positively impacts social presence, which in turn enhances CBR. Moreover, consumers’ need for uniqueness moderates the relationship between social presence and CBR, providing valuable insights for virtual influencer strategies in e-commerce. This research suggests the feasibility of leveraging VI design both visually and mentally to capture new trends in developing effective virtual campaigns with digitization and metaverse technologies. This study extends the stream of research VIs use for interactive marketing, highlighting the role of parasocial relationships in interactive marketing. These findings can provide managers with a better understanding of VI design from both visual and mental aspects. Full article

With the advancement of immersive technologies, metaverse museum exhibitions have become an increasingly important medium through which audiences access cultural content and experience artistic works. This study aims to identify the key factors influencing visitors’ processual experiences in metaverse museum exhibitions and to explore how these factors collectively contribute to the formation of satisfaction with the visiting experience. Adopting an interdisciplinary theoretical perspective, the study integrates the Experience Economy theory with the Stimulus–Organism–Response (SOR) model to construct a systematic theoretical framework. This framework reveals how exhibition-related stimuli affect visitors’ behavioral intentions through psychological response pathways. Specifically, perceived educational appeal, interactive entertainment, escapist experience, and perceived visual aesthetics are defined as stimulus variables, while psychological immersion, emotional trigger, and cognitive engagement are introduced as organismic variables to explain their effects on satisfaction with the visiting experience and social sharing intention as response variables. Based on 507 valid responses, Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed for empirical analysis. The results indicate that interactive entertainment and escapist experience have significant positive effects on psychological responses, serving as key drivers of deep visitor engagement. Emotional Trigger acts as a significant mediator between exhibition stimuli and satisfaction with the visiting experience, which in turn significantly predicts social sharing intention. In contrast, perceived educational appeal and perceived visual aesthetics exhibit weaker impacts at the cognitive and behavioral levels. This study not only identifies these weakened pathways but also proposes optimization strategies grounded in experiential construction and cognitive synergy, offering guidance for enhancing the educational function and deep experiential design of metaverse exhibitions. The findings validate the applicability of the Experience Economy theory and the SOR model in metaverse cultural contexts and deepen our understanding of the psychological mechanisms underlying immersive cultural experiences. This study further provides a pathway for shifting exhibition design from a “content-oriented” to an “experience-driven” approach, offering theoretical and practical insights into enhancing audience engagement and cultural communication effectiveness in metaverse museums. Full article

This study delivers a rigorous and in-depth bibliometric examination of 693 scholarly publications addressing the intersection of metaverse technologies and banking, retrieved from the Web of Science Core Collection. Through advanced scientometric tools, including VOSviewer and Bibliometrix, the research systematically unpacks the evolving intellectual and thematic contours of this interdisciplinary frontier. The co-occurrence analysis of keywords reveals a landscape shaped by seven core thematic clusters, encompassing immersive user environments, digital infrastructure, experiential design, and ethical considerations. Factorial analysis uncovers a marked bifurcation between experience-driven narratives and technology-centric frameworks, with integrative concepts such as technology, information, and consumption serving as conceptual bridges. Network visualizations of authorship patterns point to the emergence of high-density collaboration clusters, particularly centered around influential contributors such as Dwivedi and Ooi, while regional distribution patterns indicate a tri-continental dominance led by Asia, North America, and Western Europe. Temporal analysis identifies a significant surge in academic interest beginning in 2022, aligning with increased institutional and commercial experimentation in virtual financial platforms. Our findings argue that the incorporation of metaverse paradigms into banking is not merely a technological shift but a systemic transformation in progress—one that blurs the boundaries between speculative innovation and tangible implementation. This work contributes foundational insights for future inquiry into digital finance systems, algorithmic governance, trust architecture, and the wider socio-economic consequences of banking in virtualized environments. Whether a genuine leap toward financial evolution or a sophisticated illusion, the metaverse in banking must now be treated as a systemic phenomenon worthy of serious scrutiny. Full article

Introduction: The rapid adoption of telerehabilitation in physiotherapy and occupational therapy has transformed healthcare delivery, offering new opportunities for patient-centered care. However, its implementation raises critical ethical and equity-related questions that require proactive strategies to ensure fair and responsible practices. This review examines how ethical disparities and equity-related challenges are reflected in the existing literature on telerehabilitation. Objective: To investigate the presence of ethical-disparity and equity-related aspects in the provision of telerehabilitation in physiotherapy and occupational therapy as reflected in the literature. Data Sources: A rapid review methodology was employed to explore ethical and equity-related challenges in telerehabilitation. The search included articles published in English and French between 2010 and 2023 from the Medline and Embase databases. Study Selection: Articles were selected based on their relevance to ethical and equity considerations in telerehabilitation. A total of 1750 sources were initially identified, with 67 articles meeting the eligibility criteria for inclusion in this review. Data Extraction: Data were extracted based on variables such as age, gender, ethnicity, morbidity, cost, privacy, confidentiality, and autonomy. The data extraction and analysis were guided by the Progress Plus and Metaverse Equitable Rehabilitation Therapy frameworks. Data Synthesis: The findings were analyzed and discussed using a narrative synthesis approach. The results highlighted key ethical considerations, including adverse events, patient autonomy, and privacy issues. Equity-related aspects were examined, access to rehabilitation services and gender considerations. Disparities in technology access, socioeconomic status, and ethnicity were also identified. Conclusions: This rapid review highlights the growing relevance of ethical and equity considerations in the design and delivery of telerehabilitation within physiotherapy and occupational therapy. The findings show inconsistent reporting and limited depth in addressing key domains such as patient autonomy, privacy, and adverse events, alongside disparities related to age, gender, socioeconomic status, and geographic access. Although telerehabilitation holds promise for expanding access, particularly in underserved areas, this potential remains unevenly realized. The review underscores the critical need for structured, equity-driven, and ethically grounded frameworks such as the Metaverse Equitable Rehabilitation THerapy (MERTH) framework to guide future implementation, research, and policy. Full article

Augmented reality (AR) has become a research focus in computer vision and graphics, with growing applications driven by advances in artificial intelligence and the emergence of the metaverse. Panoramic cameras offer new opportunities for AR due to their wide field of view but also pose significant challenges for camera pose estimation because of severe distortion and complex scene textures. To address these issues, this paper proposes a lightweight, unsupervised deep learning model for panoramic camera pose estimation. The model consists of a depth estimation sub-network and a pose estimation sub-network, both optimized for efficiency using network compression, multi-scale rectangular convolutions, and dilated convolutions. A learnable occlusion mask is incorporated into the pose network to mitigate errors caused by complex relative motion. Furthermore, a panoramic view reconstruction model is constructed to obtain effective supervisory signals from the predicted depth, pose information, and corresponding panoramic images and is trained using a designed spherical photometric consistency loss. The experimental results demonstrate that the proposed method achieves competitive accuracy while maintaining high computational efficiency, making it well-suited for real-time AR applications with panoramic input. Full article