Tootfinder

The metaverse is going great!

An Explainable Emotion Alignment Framework for LLM-Empowered Agent in Metaverse Service Ecosystem
Qun Ma, Xiao Xue, Ming Zhang, Yifan Shen, Zihan Zhao
https://arxiv.org/abs/2507.22326

An Explainable Emotion Alignment Framework for LLM-Empowered Agent in Metaverse Service Ecosystem
Metaverse service is a product of the convergence between Metaverse and service systems, designed to address service-related challenges concerning digital avatars, digital twins, and digital natives within Metaverse. With the rise of large language models (LLMs), agents now play a pivotal role in Metaverse service ecosystem, serving dual functions: as digital avatars representing users in the virtual realm and as service assistants (or NPCs) providing personalized support. However, during the m…

"#Microsoft’s #AI tools don’t work. Microsoft AI doesn’t make you more effective. Microsoft AI won’t do the job better.
If it did, Microsoft staff would be using it already. The competition inside Microsoft is vicious. If AI would get them ahead of the other guy, they’d use it."
via…

Using "AI" is no longer optional at Microsoft. Reminds me how when Meta had to force their engineers to use their "Metaverse" product.
If your product doesn't even gain traction internally, maybe it's just ... shit?
(Original title: ‘AI is no longer optional’ — Microsoft admits AI doesn’t help at work)

‘AI is no longer optional’ — Microsoft admits AI doesn’t help at work
An internal Microsoft memo has leaked. It was written by Julia Liuson, president of the Developer Division at Microsoft and GitHub. The memo tells managers to evaluate employees based on how much t…

MetaRoundWorm: A Virtual Reality Escape Room Game for Learning the Lifecycle and Immune Response to Parasitic Infections
Xuanru Cheng, Xian Wang, Chi-lok Tai, Lik-Hang Lee
https://arxiv.org/abs/2509.01367

MetaRoundWorm: A Virtual Reality Escape Room Game for Learning the Lifecycle and Immune Response to Parasitic Infections
Promoting public health is challenging owing to its abstract nature, and individuals may be apprehensive about confronting it. Recently, there has been an increasing interest in using the metaverse and gamification as novel educational techniques to improve learning experiences related to the immune system. Thus, we present MetaRoundWorm, an immersive virtual reality (VR) escape room game designed to enhance the understanding of parasitic infections and host immune responses through interactive…

»Einstige Zukunftstechnologie – Wieso das Versprechen von Metaverse unerfüllt geblieben ist:
Metaverse ist von einem Begriff, der in aller Munde war, zu einem vergessenen Konzept geworden, das von der KI verdrängt wurde. Was bleibt von der einstigen Vision einer grossen virtuellen Parallelwelt von Zuckerberg und Co.?«
Die übliche rethorische Frage dazu: Wem.überrascht dies nun und wie sieht eure Web-KI-Zukunft aus?
🤷‍♂️

Wieso das Versprechen von Metaverse unerfüllt geblieben ist
Der Hype um Metaverse ist längst verflogen. Was bleibt von der einstigen Vision einer grossen virtuellen Parallelwelt?

Spielwelten aus dem Textprompt: Meta rollt GenAI-Tools in Europa aus
Meta vereinfacht mit generativer KI die Erstellung virtueller Welten für die eigene Metaverse-Plattform Horizon Worlds.
https://www.…

Task-Oriented Edge-Assisted Cross-System Design for Real-Time Human-Robot Interaction in Industrial Metaverse
Kan Chen, Zhen Meng, Xiangmin Xu, Jiaming Yang, Emma Li, Philip G. Zhao
https://arxiv.org/abs/2508.20664

Task-Oriented Edge-Assisted Cross-System Design for Real-Time Human-Robot Interaction in Industrial Metaverse
Real-time human-device interaction in industrial Metaverse faces challenges such as high computational load, limited bandwidth, and strict latency. This paper proposes a task-oriented edge-assisted cross-system framework using digital twins (DTs) to enable responsive interactions. By predicting operator motions, the system supports: 1) proactive Metaverse rendering for visual feedback, and 2) preemptive control of remote devices. The DTs are decoupled into two virtual functions-visual display a…

This is the data center Meta is planning to build in a last-ditch effort to add legs to Metaverse avatars

Metaverse Support Groups for LGBTQ Youth: An Observational Study on Safety, Self-Expression, and Early Intervention
Joe Hasei, Yosuke Matsumoto, Hiroki Kawai, Yuko Okahisa, Manabu Takaki, Toshifumi Ozaki
https://arxiv.org/abs/2507.21079

Metaverse Support Groups for LGBTQ+ Youth: An Observational Study on Safety, Self-Expression, and Early Intervention
This study assessed metaverse-based support groups designed to reduce social isolation and suicide risk among LGBTQ+ youths. Using the Cluster platform, enhanced anonymity, avatar-based self-expression, and accessibility were provided. Key findings showed that 79.2% chose avatars matching their gender identity, reporting high satisfaction (mean: 4.10/5) and low discomfort (mean: 1.79/5). Social confidence significantly improved in virtual spaces compared to real-world interactions (p<0.001), pa…

Hierarchical Vision-Language Retrieval of Educational Metaverse Content in Agriculture
Ali Abdari, Alex Falcon, Giuseppe Serra
https://arxiv.org/abs/2508.13713 https://

Hierarchical Vision-Language Retrieval of Educational Metaverse Content in Agriculture
Every day, a large amount of educational content is uploaded online across different areas, including agriculture and gardening. When these videos or materials are grouped meaningfully, they can make learning easier and more effective. One promising way to organize and enrich such content is through the Metaverse, which allows users to explore educational experiences in an interactive and immersive environment. However, searching for relevant Metaverse scenarios and finding those matching users…

AI Enabled 6G for Semantic Metaverse: Prospects, Challenges and Solutions for Future Wireless VR
Muhammad Ahmed Mohsin, Sagnik Bhattacharya, Abhiram Gorle, Muhammad Ali Jamshed, John M. Cioffi
https://arxiv.org/abs/2507.19124

AI Enabled 6G for Semantic Metaverse: Prospects, Challenges and Solutions for Future Wireless VR
Wireless support of virtual reality (VR) has challenges when a network has multiple users, particularly for 3D VR gaming, digital AI avatars, and remote team collaboration. This work addresses these challenges through investigation of the low-rank channels that inevitably occur when there are more active users than there are degrees of spatial freedom, effectively often the number of antennas. The presented approach uses optimal nonlinear transceivers, equivalently generalized decision-feedback…

For every $1 valuation of a billion-dollar company, at least 50¢ is in the pocket of a lucky person who thinks they're smart, most of whom had rich parents to boot. There's like, 10,000 of these people, tops, yet their sociopathic bets on everything from Juicero to "the metaverse" to "AI" pull technology development around by the nose.
Did I mention that this crap is only a side table to them after they ran out of "war" and "burning down the planet" to invest in?
#Capitalism is a casino, and most people can't even aspire beyond being a bigger chip.

@… @… see you in the metaverse

"Factors influencing the adoption of metaverse technologies in academic libraries: A systematic literature review" https://doi.org/10.1177/09610006251363982 [closed access 🙄]

Maximizing the Promptness of Metaverse Systems using Edge Computing by Deep Reinforcement Learning
Tam Ninh Thi-Thanh, Trinh Van Chien, Hung Tran, Nguyen Hoai Son, Van Nhan Vo
https://arxiv.org/abs/2506.02657

Maximizing the Promptness of Metaverse Systems using Edge Computing by Deep Reinforcement Learning
Metaverse and Digital Twin (DT) have attracted much academic and industrial attraction to approach the future digital world. This paper introduces the advantages of deep reinforcement learning (DRL) in assisting Metaverse system-based Digital Twin. In this system, we assume that it includes several Metaverse User devices collecting data from the real world to transfer it into the virtual world, a Metaverse Virtual Access Point (MVAP) undertaking the processing of data, and an edge computing ser…

Enhancing Data Processing Efficiency in Blockchain Enabled Metaverse over Wireless Communications
Liangxin Qian, Jun Zhao
https://arxiv.org/abs/2507.04657 …

Enhancing Data Processing Efficiency in Blockchain Enabled Metaverse over Wireless Communications
In the rapidly evolving landscape of the Metaverse, enhanced by blockchain technology, the efficient processing of data has emerged as a critical challenge, especially in wireless communication systems. Addressing this challenge, our paper introduces the innovative concept of data processing efficiency (DPE), aiming to maximize processed bits per unit of resource consumption in blockchain-empowered Metaverse environments. To achieve this, we propose the DPE-Aware User Association and Resource A…

UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data
Vasiliki Balaska, Ioannis Tsampikos Papapetros, Katerina Maria Oikonomou, Loukas Bampis, Antonios Gasteratos
https://arxiv.org/abs/2506.13505

UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data
The mining sector increasingly adopts digital tools to improve operational efficiency, safety, and data-driven decision-making. One of the key challenges remains the reliable acquisition of high-resolution, geo-referenced spatial information to support core activities such as extraction planning and on-site monitoring. This work presents an integrated system architecture that combines UAV-based sensing, LiDAR terrain modeling, and deep learning-based object detection to generate spatially accur…

Semantic Communication-Enabled Cloud-Edge-End-collaborative Metaverse Services Architecure
Yuxuan Li, Sheng Jinag, Bizhu Wang
https://arxiv.org/abs/2506.10001

Semantic Communication-Enabled Cloud-Edge-End-collaborative Metaverse Services Architecure
With technology advancing and the pursuit of new audiovisual experiences strengthening, the metaverse has gained surging enthusiasm. However, it faces practical hurdles as substantial data like high-resolution virtual scenes must be transmitted between cloud platforms and VR devices. Specifically, the VR device's wireless transmission hampered by insufficient bandwidth, causes speed and delay problems. Meanwhile, poor channel quality leads to data errors and worsens user experience. To solve th…

Metaverse Framework for Wireless Systems Management
Ilias Chrysovergis, Alexandros-Apostolos A. Boulogeorgos, Theodoros A. Tsiftsis, Dusit Niyato
https://arxiv.org/abs/2508.04150

Metaverse Framework for Wireless Systems Management
This article introduces a comprehensive metaverse framework, which is designed for the simulation, emulation, and interaction with wireless systems. The proposed framework integrates core metaverse technologies such as extended reality (XR), digital twins (DTs), artificial intelligence (AI), internet of things (IoT), blockchain, and advanced 6G networking solutions to create a dynamic, immersive platform for both system development and management. By leveraging XR, users can visualize and engag…

Self : Merging Human and AI for Co-Determined XR Living in the Metaverse
Thammathip Piumsomboon
https://arxiv.org/abs/2507.10967 https://

Self++: Merging Human and AI for Co-Determined XR Living in the Metaverse
This position paper introduces Self++, a novel nine-level framework for co-determined living in the Metaverse, grounded in Self-Determination Theory. Self++ prioritises human flourishing by progressively cultivating competence, autonomy, and relatedness through dynamic human-AI collaboration in extended reality (XR). Unlike technologically deterministic approaches, Self++ emphasises user empowerment by enhancing competency, mitigating cognitive biases and leveraging XR's immersive capabilities.…

Assessing the Impact of Refactoring Energy-Inefficient Code Patterns on Software Sustainability: An Industry Case Study
Rohit Mehra, Priyavanshi Pathania, Vibhu Saujanya Sharma, Vikrant Kaulgud, Sanjay Podder, Adam P. Burden
https://arxiv.org/abs/2506.09370

Assessing the Impact of Refactoring Energy-Inefficient Code Patterns on Software Sustainability: An Industry Case Study
Advances in technologies like artificial intelligence and metaverse have led to a proliferation of software systems in business and everyday life. With this widespread penetration, the carbon emissions of software are rapidly growing as well, thereby negatively impacting the long-term sustainability of our environment. Hence, optimizing software from a sustainability standpoint becomes more crucial than ever. We believe that the adoption of automated tools that can identify energy-inefficient p…

You Only Render Once: Enhancing Energy and Computation Efficiency of Mobile Virtual Reality
Xingyu Chen, Xinmin Fang, Shuting Zhang, Xinyu Zhang, Liang He, Zhengxiong Li
https://arxiv.org/abs/2506.15183

You Only Render Once: Enhancing Energy and Computation Efficiency of Mobile Virtual Reality
Mobile Virtual Reality (VR) is essential to achieving convenient and immersive human-computer interaction and realizing emerging applications such as Metaverse. However, existing VR technologies require two separate renderings of binocular images, causing a significant bottleneck for mobile devices with limited computing capability and power supply. This paper proposes an approach to rendering optimization for mobile VR called EffVR. By utilizing the per-pixel attribute, EffVR can generate bino…

Implementation and Application of Multi-Format 3D Data Integration in a Cross-Device Commercial Metaverse Platform
Masanori Ibara, Yuichi Hiroi, Takushi Kamegai, Takefumi Hiraki
https://arxiv.org/abs/2508.05332

Implementation and Application of Multi-Format 3D Data Integration in a Cross-Device Commercial Metaverse Platform
Traditionally, specialized 3D design data, such as BIM and CAD, have been accessible only to a select group of experts, creating significant barriers that prevent general users from participating in decision-making processes. This paper provides a systematic overview of practical insights for utilizing 3D data in industrial and architectural domains by presenting implementation cases of the industrial metaverse on Cluster, a commercial cross-device metaverse platform. This paper analyzes the ch…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/7]:
A philosophical and ontological perspective on Artificial General Intelligence and the Metaverse

Plant-Centric Metaverse: A Biocentric-Creation Framework for Ecological Art and Digital Symbiosis
Ze Gao, Mengyao Guo, Zheng Wang, Xiaolin Zhang, Sihuang Man
https://arxiv.org/abs/2508.04391

Plant-Centric Metaverse: A Biocentric-Creation Framework for Ecological Art and Digital Symbiosis
Digital ecological art represents an emergent frontier where biological media converge with virtual environments. This study examines the paradigm shift from anthropocentric to plant-centered artistic narratives within the metaverse, contextualizing how digital platforms transform ecological expression. However, current frameworks fail to systematically guide artists in leveraging plant agency for digital symbiosis that transcends human-centered creation. We propose the Biocentric-Creation Tran…

Bidirectional Age of Incorrect Information: A Performance Metric for Status Updates in Virtual Dynamic Environments
Chiara Schiavo, Manuele Favero, Alessandro Buratto, Leonardo Badia
https://arxiv.org/abs/2507.13312

Bidirectional Age of Incorrect Information: A Performance Metric for Status Updates in Virtual Dynamic Environments
Virtual dynamic environments (VDEs) such as the Metaverse and digital twins (DTs) require proper representation of the interacting entities to map their characteristics within the simulated or augmented space. Keeping these representations accurate and up-to-date is crucial for seamless interaction and system reliability. In this paper, we propose bidirectional age of incorrect information (BAoII) to address this aspect. BAoII quantifies the time-dependent penalty paid by an entity in a VDE due…

MoDA: Multi-modal Diffusion Architecture for Talking Head Generation
Xinyang Li, Gen Li, Zhihui Lin, Yichen Qian, GongXin Yao, Weinan Jia, Weihua Chen, Fan Wang
https://arxiv.org/abs/2507.03256

MoDA: Multi-modal Diffusion Architecture for Talking Head Generation
Talking head generation with arbitrary identities and speech audio remains a crucial problem in the realm of digital humans and the virtual metaverse. Recently, diffusion models have become a popular generative technique in this field with their strong generation and generalization capabilities. However, several challenges remain for diffusion-based methods: 1) inefficient inference and visual artifacts, which arise from the implicit latent space of Variational Auto-Encoders (VAE), complicating…