A brief history of the Metaverse: From early beginnings to the cutting edge DOI

Patrick Seebold,

Chang S. Nam

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 1 - 9

Опубликована: Янв. 1, 2025

Язык: Английский

Generative artificial intelligence in the metaverse era DOI Creative Commons

Zhihan Lv

Cognitive Robotics, Год журнала: 2023, Номер 3, С. 208 - 217

Опубликована: Янв. 1, 2023

Generative artificial intelligence (AI) is a form of AI that can autonomously generate new content, such as text, images, audio, and video. provides innovative approaches for content production in the metaverse, filling gaps development metaverse. Products ChatGPT have potential to enhance search experience, reshape information generation presentation methods, become entry points online traffic. This expected significantly impact traditional engine products, accelerating industry innovation upgrading. paper presents an overview technologies prospective applications generative breakthrough metaverse technology offers insights increasing effectiveness creating creative content.

Язык: Английский

Процитировано

135

How Does the Metaverse Shape Education? A Systematic Literature Review DOI Creative Commons
Fabio De Felice, Antonella Petrillo,

Gianfranco Iovine

и другие.

Applied Sciences, Год журнала: 2023, Номер 13(9), С. 5682 - 5682

Опубликована: Май 5, 2023

In recent years, the potential of metaverse as a tool to connect people has been increasingly recognized. The opportunities offered by seem enormous in many sectors and fields application. However, on academic side, although growing number papers have found address adoption metaverse, clear overview solutions place their impact education largely neglected so far. context increasing challenges with this review aims investigate role education. This contribution research gap offering state-of-the-art analysis plays relation future work. study is based systematic approach performed means Preferred Reporting Items for Systematic Review Meta-Analyses (PRISMA) protocol. findings help us better understand benefits, risks immersive innovative learning experiences. Implications are discussed streams investigation identified.

Язык: Английский

Процитировано

51

Mapping Metaverse Research: Identifying Future Research Areas Based on Bibliometric and Topic Modeling Techniques DOI Creative Commons
Abderahman Rejeb, Karim Rejeb, Horst Treiblmaier

и другие.

Information, Год журнала: 2023, Номер 14(7), С. 356 - 356

Опубликована: Июнь 22, 2023

The metaverse represents an immersive digital environment that has garnered significant attention as a result of its potential to revolutionize various industry sectors and profound societal impact. While academic interest in the surged, dearth comprehensive review articles employing bibliometric techniques remains. This study seeks address this gap by analyzing 595 metaverse-related journal using topic modeling techniques, marking first kind investigate profile research. findings reveal exponential growth research since 2020, identifying major trends, prolific authors, most active journals field. A keyword co-occurrence analysis further uncovers four clusters interests, highlighting unique facets underscoring far-reaching implications across sectors, including education, healthcare, retail, tourism. emphasizes need for more collaboration advancing field presents 27 questions future investigation. serves foundation understanding current state trajectory.

Язык: Английский

Процитировано

47

Toward Metaverse of everything: Opportunities, challenges, and future directions of the next generation of visual/virtual communications DOI
Saeed Banaeian Far, Azadeh Imani Rad, Seyed Mojtaba Hosseini Bamakan

и другие.

Journal of Network and Computer Applications, Год журнала: 2023, Номер 217, С. 103675 - 103675

Опубликована: Июнь 3, 2023

Язык: Английский

Процитировано

46

Deepfake Generation and Detection: Case Study and Challenges DOI Creative Commons
Y. G. Patel, Sudeep Tanwar, Rajesh Gupta

и другие.

IEEE Access, Год журнала: 2023, Номер 11, С. 143296 - 143323

Опубликована: Янв. 1, 2023

In smart communities, social media has allowed users easy access to multimedia content. With recent advancements in computer vision and natural language processing, machine learning (ML), deep (DL) models have evolved. generative adversarial networks (GAN), it become possible create fake images/audio/and video streams of a person or use some person's audio visual details fit other environments. Thus, deepfakes are specifically used disseminate information propaganda on circles that tarnish the reputation an individual organization. Recently, many surveys focused generating detecting deepfake images, audio, streams. Existing mostly aligned toward contents, but generation process is not suitably discussed. To address survey gap, paper proposes comprehensive review detection different ML/DL approaches synthesize contents. We discuss comparative analysis public datasets present for purposes. implementation challenges future research directions regarding optimized models. A unique case study, IBMM discussed, which presents multi-modal overview detection. The proposed would benefit researchers, industry, academia study subsequent schemes.

Язык: Английский

Процитировано

45

Generative artificial intelligence of things systems, multisensory immersive extended reality technologies, and algorithmic big data simulation and modelling tools in digital twin industrial metaverse DOI Creative Commons
Tomáš Klieštik, Pavol Kráľ, Martin Bugaj

и другие.

Equilibrium Quarterly Journal of Economics and Economic Policy, Год журнала: 2024, Номер 19(2), С. 429 - 461

Опубликована: Июнь 30, 2024

Research background: Multi-modal synthetic data fusion and analysis, simulation modelling technologies, virtual environmental location sensors shape the industrial metaverse. Visual digital twins, smart manufacturing sensory mining techniques, 3D twin predictive maintenance tools, big mobile analytics, cloud-connected spatial computing devices further immersive spaces, decentralized worlds, reality Purpose of article: We aim to show that extended cognitive systems, computer vision-based production neuro-engineering interoperability improve artificial intelligence-based metaverse hyper-immersive simulated environments. Geolocation tracking image processing computational robot motion algorithms, technologies economic business management environments Methods: Quality tools: AMSTAR, BIBOT, CASP, Catchii, R package Shiny app citationchaser, DistillerSR, JBI SUMARI, Litstream, Nested Knowledge, Rayyan, Systematic Review Accelerator. Search period: April 2024. terms: “digital metaverse” + “artificial Intelligence Things systems”, “multisensory technologies”, “algorithmic tools”. Selected sources: 114 out 336. Published research inspected: 2022–2024. PRISMA was reporting quality assessment tool. Dimensions VOSviewer were deployed as visualization tools. Findings & value added: Simulated augmented multi-sensory explainable decision support cloud-based robotic cooperation ambient intelligence deep learning-based analytics tools are instrumental in The necessitates connected enterprise reality-embedded twins.

Язык: Английский

Процитировано

25

From theory to practice: Empirical perspectives on the metaverse's potential DOI
Ava Hajian,

Setareh Daneshgar,

Kiarash Sadeghi R.

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 201, С. 123224 - 123224

Опубликована: Янв. 26, 2024

Язык: Английский

Процитировано

23

Unveiling the Metaverse: A survey of user perceptions and the impact of usability, social influence and interoperability DOI Creative Commons
Mousa Al-kfairy, Ayham Alomari, Mahmood Ghaleb Al-Bashayreh

и другие.

Heliyon, Год журнала: 2024, Номер 10(10), С. e31413 - e31413

Опубликована: Май 1, 2024

This review explores the Metaverse, focusing on user perceptions and emphasizing critical aspects of usability, social influence, interoperability within this emerging digital ecosystem. By integrating various academic perspectives, analysis highlights Metaverse's significant impact across sectors, its potential to reshape interaction paradigms. The investigation reveals usability as a cornerstone for engagement, demonstrating how dynamics profoundly influence behaviors choices virtual environments. Furthermore, study outlines paramount challenge, advocating establishing unified protocols technologies facilitate seamless experiences disparate Metaverse platforms. It advocates adoption inclusive, ergonomically oriented designs aimed at enhancing participation. addresses ethical societal challenges posed by including concerns related harassment, invasive marketing practices, breaches privacy. Additionally, identifies existing gaps in literature, particularly regarding implications healthcare, educational outcomes, urgent need empirical data concerning long-term effects psychology behavior. providing comprehensive synthesis current understanding paper contributes dialogue, laying groundwork future research initiatives. aims steer development towards trajectory that is ethically sound, socially responsible, aligned with expectations, thereby fostering realm upholds highest standards integrity inclusivity.

Язык: Английский

Процитировано

18

Building a sustainable future with enterprise metaverse in a data-driven era: A technology-organization-environment (TOE) perspective DOI
Aman Kumar, Amit Shankar

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 81, С. 103986 - 103986

Опубликована: Июль 31, 2024

Язык: Английский

Процитировано

17

Industrial Metaverse for Smart Manufacturing: Model, Architecture, and Applications DOI Creative Commons
Lei Ren, Jiabao Dong, Zhang Li

и другие.

IEEE Transactions on Cybernetics, Год журнала: 2024, Номер 54(5), С. 2683 - 2695

Опубликована: Март 21, 2024

Smart manufacturing has been transforming toward industrial digitalization integrated with various advanced technologies. Metaverse evolving as a next-generation paradigm of digital space extended and augmented by reality. In the metaverse, users are interconnected for virtual activities. consideration possibilities that may be brought it is envisioned metaverse should into smart to upgrade industry more visible, intelligent efficient production in future. Therefore, conceptual model, named IMverse Model, novel characteristics proposed this article. Besides, an architecture, Architecture, involving several key enabling Typical innovative applications throughout whole product life cycle presented insights. Nonetheless, prospect future, still faces limitations far from implementation. Thus, challenges open issues discussed, then outlook provided further research application.

Язык: Английский

Процитировано

16