Tootfinder

What if Virtual Agents Had Scents? Users' Judgments of Virtual Agent Personality and Appeals in Encounters
Dongyun Han, Siyeon Bak, So-Hui Kim, Kangsoo Kim, Sun-Jeong Kim, Isaac Cho
https://arxiv.org/abs/2509.11342

What if Virtual Agents Had Scents? Users' Judgments of Virtual Agent Personality and Appeals in Encounters
Incorporating multi-sensory cues into Virtual Reality (VR) can significantly enhance user experiences, mirroring the multi-sensory interactions we encounter in the real-world. Olfaction plays a crucial role in shaping impressions when engaging with others. This study examines how non-verbal cues from virtual agents-specifically olfactory cues, emotional expressions, and gender-influence user perceptions during encounters with virtual agents. Our findings indicate that in unscented, woodsy, and …

GhostObjects: Instructing Robots by Manipulating Spatially Aligned Virtual Twins in Augmented Reality
Lauren W. Wang, Parastoo Abtahi
https://arxiv.org/abs/2508.11022 https://…

GhostObjects: Instructing Robots by Manipulating Spatially Aligned Virtual Twins in Augmented Reality
Robots are increasingly capable of autonomous operations, yet human interaction remains essential for issuing personalized instructions. Instead of directly controlling robots through Programming by Demonstration (PbD) or teleoperation, we propose giving instructions by interacting with GhostObjects-world-aligned, life-size virtual twins of physical objects-in augmented reality (AR). By direct manipulation of GhostObjects, users can precisely specify physical goals and spatial parameters, with …

Data Center Map - Colocation, Cloud and Connectivity
Do you want to check where your data is geographically located or which providers are your "neighbors"? Here you can watch it online worldwide – in other words: virtual reality in real world gegography.
🗺️ https://www.datacentermap.com

Virtual Nylon-String Acoustic Guitar
#VirtualInstrument #MusicianTips
https://s…

Virtual Nylon-String Acoustic Guitar - Orange Tree Samples releases Evolution Honey Nylon powered by Kontakt Player
Orange Tree Samples releases Evolution Honey Nylon powered by Kontakt Player

What do kids want these days?
https://www.freerangekids.com/want-kids-to-spend-less-time-in-the-virtual-world-give-them-back-the-real-one/

Want Kids to Spend Less Time in the Virtual World? Give Them Back the Real One! - Free-Range Kids
Are kids on their phones all the time because that’s what they love the most? An explosive new Harris Poll finds that actually, what kids 8-12 REALLY want to do is hang out together in real life – with no adults hovering, and no screens. They go online because that’s the only place they can

Building and Evaluating a Realistic Virtual World for Large Scale Urban Exploration from 360{\deg} Videos
Mizuki Takenawa, Naoki Sugimoto, Leslie W\"ohler, Satoshi Ikehata, Kiyoharu Aizawa
https://arxiv.org/abs/2510.11447

Building and Evaluating a Realistic Virtual World for Large Scale Urban Exploration from 360° Videos
We propose to build realistic virtual worlds, called 360RVW, for large urban environments directly from 360° videos. We provide an interface for interactive exploration, where users can freely navigate via their own avatars. 360° videos record the entire environment of the shooting location simultaneously leading to highly realistic and immersive representations. Our system uses 360° videos recorded along streets and builds a 360RVW through four main operations: video segmentation by interse…

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation
Yinglin Duan, Zhengxia Zou, Tongwei Gu, Wei Jia, Zhan Zhao, Luyi Xu, Xinzhu Liu, Hao Jiang, Kang Chen, Shuang Qiu
https://arxiv.org/abs/2509.05263

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation
Recent research has been increasingly focusing on developing 3D world models that simulate complex real-world scenarios. World models have found broad applications across various domains, including embodied AI, autonomous driving, entertainment, etc. A more realistic simulation with accurate physics will effectively narrow the sim-to-real gap and allow us to gather rich information about the real world conveniently. While traditional manual modeling has enabled the creation of virtual 3D scenes…

DiT-VTON: Diffusion Transformer Framework for Unified Multi-Category Virtual Try-On and Virtual Try-All with Integrated Image Editing
Qi Li, Shuwen Qiu, Julien Han, Xingzi Xu, Mehmet Saygin Seyfioglu, Kee Kiat Koo, Karim Bouyarmane
https://arxiv.org/abs/2510.04797

DiT-VTON: Diffusion Transformer Framework for Unified Multi-Category Virtual Try-On and Virtual Try-All with Integrated Image Editing
The rapid growth of e-commerce has intensified the demand for Virtual Try-On (VTO) technologies, enabling customers to realistically visualize products overlaid on their own images. Despite recent advances, existing VTO models face challenges with fine-grained detail preservation, robustness to real-world imagery, efficient sampling, image editing capabilities, and generalization across diverse product categories. In this paper, we present DiT-VTON, a novel VTO framework that leverages a Diffus…

Banjo Virtual Instrument Comparison Review
#VirtualInstrument #MusicianTips #banjo

Banjo Virtual Instrument Comparison Review
Stan Stewart - @muz4now

Differential Physiological Responses to Proxemic and Facial Threats in Virtual Avatar Interactions
Birgit Nierula, Mustafa Tevfik Lafci, Anna Melnik, Mert Akg\"ul, Farelle Toumaleu Siewe, Sebastian Bosse
https://arxiv.org/abs/2508.10586

Differential Physiological Responses to Proxemic and Facial Threats in Virtual Avatar Interactions
Proxemics, the study of spatial behavior, is fundamental to social interaction and increasingly relevant for virtual reality (VR) applications. While previous research has established that users respond to personal space violations in VR similarly as in real-world settings, phase-specific physiological responses and the modulating effects of facial expressions remain understudied. We investigated physiological and subjective responses to personal space violations by virtual avatars, to understa…

World-Env: Leveraging World Model as a Virtual Environment for VLA Post-Training
Junjin Xiao, Yandan Yang, Xinyuan Chang, Ronghan Chen, Feng Xiong, Mu Xu, Wei-Shi Zheng, Qing Zhang
https://arxiv.org/abs/2509.24948

World-Env: Leveraging World Model as a Virtual Environment for VLA Post-Training
Vision-Language-Action (VLA) models trained via imitation learning suffer from significant performance degradation in data-scarce scenarios due to their reliance on large-scale demonstration datasets. Although reinforcement learning (RL)-based post-training has proven effective in addressing data scarcity, its application to VLA models is hindered by the non-resettable nature of real-world environments. This limitation is particularly critical in high-risk domains such as industrial automation,…

A Neurosymbolic Framework for Interpretable Cognitive Attack Detection in Augmented Reality
Rongqian Chen, Allison Andreyev, Yanming Xiu, Mahdi Imani, Bin Li, Maria Gorlatova, Gang Tan, Tian Lan
https://arxiv.org/abs/2508.09185

A Neurosymbolic Framework for Interpretable Cognitive Attack Detection in Augmented Reality
Augmented Reality (AR) enriches perception by overlaying virtual elements on the physical world. Due to its growing popularity, cognitive attacks that alter AR content to manipulate users' semantic perception have received increasing attention. Existing detection methods often focus on visual changes, which are restricted to pixel- or image-level processing and lack semantic reasoning capabilities, or they rely on pre-trained vision-language models (VLMs), which function as black-box approaches…

Gaza is suffering man-made mass starvation
caused by the blockade of aid into the territory,
the head of the World Health Organization has said,
as more than 100 agencies urged Israel to let supplies in to alleviate the crisis.
“I don’t know what you would call it other than mass starvation,
and it’s man-made,
and that’s very clear,”
Tedros Adhanom Ghebreyesus told a virtual press conference from Geneva.
“This is because of [the] blockade.”

Top Virtual Instruments for Songwriters and Composers
#MusicianTips #Sounds for #MusicMaking

Top Virtual Instruments for Songwriters and Composers
Stan Stewart - @muz4now

Small Cues, Big Differences: Evaluating Interaction and Presentation for Annotation Retrieval in AR
Zahra Borhani, Ali Ebrahimpour-Boroojeny, Francisco R. Ortega
https://arxiv.org/abs/2509.11401

Small Cues, Big Differences: Evaluating Interaction and Presentation for Annotation Retrieval in AR
Augmented Reality (AR) enables intuitive interaction with virtual annotations overlaid on the real world, supporting a wide range of applications such as remote assistance, education, and industrial training. However, as the number of heterogeneous annotations increases, their efficient retrieval remains an open challenge in 3D environments. This paper examines how interaction modalities and presentation designs affect user performance, workload, fatigue, and preference in AR annotation retriev…

Designing and Evaluating an AI-driven Immersive Multidisciplinary Simulation (AIMS) for Interprofessional Education
Ruijie Wang, Jie Lu, Bo Pei, Evonne Jones, Jamey Brinson, Timothy Brown
https://arxiv.org/abs/2510.08891

Designing and Evaluating an AI-driven Immersive Multidisciplinary Simulation (AIMS) for Interprofessional Education
Interprofessional education has long relied on case studies and the use of standardized patients to support teamwork, communication, and related collaborative competencies among healthcare professionals. However, traditional approaches are often limited by cost, scalability, and inability to mimic the dynamic complexity of real-world clinical scenarios. To address these challenges, we designed and developed AIMS (AI-Enhanced Immersive Multidisciplinary Simulations), a virtual simulation that in…

Spatial Traces: Enhancing VLA Models with Spatial-Temporal Understanding
Maxim A. Patratskiy, Alexey K. Kovalev, Aleksandr I. Panov
https://arxiv.org/abs/2508.09032 https://

Spatial Traces: Enhancing VLA Models with Spatial-Temporal Understanding
Vision-Language-Action models have demonstrated remarkable capabilities in predicting agent movements within virtual environments and real-world scenarios based on visual observations and textual instructions. Although recent research has focused on enhancing spatial and temporal understanding independently, this paper presents a novel approach that integrates both aspects through visual prompting. We introduce a method that projects visual traces of key points from observations onto depth maps…

Topology-Aware Optimization of Gaussian Primitives for Human-Centric Volumetric Videos
Yuheng Jiang, Chengcheng Guo, Yize Wu, Yu Hong, Shengkun Zhu, Zhehao Shen, Yingliang Zhang, Shaohui Jiao, Zhuo Su, Lan Xu, Marc Habermann, Christian Theobalt
https://arxiv.org/abs/2509.07653

Topology-Aware Optimization of Gaussian Primitives for Human-Centric Volumetric Videos
Volumetric video is emerging as a key medium for digitizing the dynamic physical world, creating the virtual environments with six degrees of freedom to deliver immersive user experiences. However, robustly modeling general dynamic scenes, especially those involving topological changes while maintaining long-term tracking remains a fundamental challenge. In this paper, we present TaoGS, a novel topology-aware dynamic Gaussian representation that disentangles motion and appearance to support, bo…

Programmable Virtual Humans Toward Human Physiologically-Based Drug Discovery
You Wu, Philip E. Bourne, Lei Xie
https://arxiv.org/abs/2507.19568 https://ar…

Programmable Virtual Humans Toward Human Physiologically-Based Drug Discovery
Artificial intelligence (AI) has sparked immense interest in drug discovery, but most current approaches only digitize existing high-throughput experiments. They remain constrained by conventional pipelines. As a result, they do not address the fundamental challenges of predicting drug effects in humans. Similarly, biomedical digital twins, largely grounded in real-world data and mechanistic models, are tailored for late-phase drug development and lack the resolution to model molecular interact…

Leveraging generative artificial intelligence for simulation-based physics experiments: A new approach to virtual learning about the real world
Yossi Ben-Zion, Turhan K. Carroll, Colin G. West, Jesse Wong, Noah D. Finkelstein
https://arxiv.org/abs/2509.22929

Leveraging generative artificial intelligence for simulation-based physics experiments: A new approach to virtual learning about the real world
This study investigates the impact of a novel application of generative artificial intelligence (AI) in physics instruction: engaging students in prompting, refining, and validating AI-constructed simulations of physical phenomena. In a second-semester physics course for life science majors, we conducted a comparative study of three instructional approaches in a laboratory focused on electric potentials: (i) students using physical equipment, (ii) students using a prebuilt simulator, and (iii) …

E o projeto Gaia Nefelibata - #Filosofia em Território Virtual - segue no ar!
Saiu o terceiro vídeo do módulo sobre #Bergson - Subjetividade e Metafísica, sob a fala do Prof. Fernando Monegalha (UFAL):

PromptSleuth: Detecting Prompt Injection via Semantic Intent Invariance
Mengxiao Wang, Yuxuan Zhang, Guofei Gu
https://arxiv.org/abs/2508.20890 https://arx…

PromptSleuth: Detecting Prompt Injection via Semantic Intent Invariance
Large Language Models (LLMs) are increasingly integrated into real-world applications, from virtual assistants to autonomous agents. However, their flexibility also introduces new attack vectors-particularly Prompt Injection (PI), where adversaries manipulate model behavior through crafted inputs. As attackers continuously evolve with paraphrased, obfuscated, and even multi-task injection strategies, existing benchmarks are no longer sufficient to capture the full spectrum of emerging threats. …

Virtual Community: An Open World for Humans, Robots, and Society
Qinhong Zhou, Hongxin Zhang, Xiangye Lin, Zheyuan Zhang, Yutian Chen, Wenjun Liu, Zunzhe Zhang, Sunli Chen, Lixing Fang, Qiushi Lyu, Xinyu Sun, Jincheng Yang, Zeyuan Wang, Bao Chi Dang, Zhehuan Chen, Daksha Ladia, Jiageng Liu, Chuang Gan
https://arxiv.org/abs/2508.14893

Virtual Community: An Open World for Humans, Robots, and Society
The rapid progress in AI and Robotics may lead to a profound societal transformation, as humans and robots begin to coexist within shared communities, introducing both opportunities and challenges. To explore this future, we present Virtual Community-an open-world platform for humans, robots, and society-built on a universal physics engine and grounded in real-world 3D scenes. With Virtual Community, we aim to study embodied social intelligence at scale: 1) How robots can intelligently cooperat…

Empowering Children to Create AI-Enabled Augmented Reality Experiences
Lei Zhang, Shuyao Zhou, Amna Liaqat, Tinney Mak, Brian Berengard, Emily Qian, Andr\'es Monroy-Hern\'andez
https://arxiv.org/abs/2508.08467

Empowering Children to Create AI-Enabled Augmented Reality Experiences
Despite their potential to enhance children's learning experiences, AI-enabled AR technologies are predominantly used in ways that position children as consumers rather than creators. We introduce Capybara, an AR-based and AI-powered visual programming environment that empowers children to create, customize, and program 3D characters overlaid onto the physical world. Capybara enables children to create virtual characters and accessories using text-to-3D generative AI models, and to animate thes…

Embodied AI: Emerging Risks and Opportunities for Policy Action
Jared Perlo, Alexander Robey, Fazl Barez, Luciano Floridi, Jakob M\"okander
https://arxiv.org/abs/2509.00117

Embodied AI: Emerging Risks and Opportunities for Policy Action
The field of embodied AI (EAI) is rapidly advancing. Unlike virtual AI, EAI can exist in, learn from, reason about, and act in the physical world. Given recent innovations in large language and multimodal models, along with increasingly advanced and responsive hardware, EAI systems are rapidly growing in capabilities and operational domains. These advances present significant risks, including physical harm from malicious use, mass surveillance, and economic and societal disruption. However, the…

Pedestrian collision avoidance in hemianopia during natural walking in immersive virtual reality
Jonathan K. Doyon, Sujin Kim, Alex D. Hwang, Jae-Hyun Jung
https://arxiv.org/abs/2510.04218

Pedestrian collision avoidance in hemianopia during natural walking in immersive virtual reality
Homonymous hemianopia (HH) patients report difficulties in avoiding collisions with other pedestrians. We evaluated pedestrian collision detection and avoidance behaviors in HH patients and healthy controls using a novel virtual reality (VR) walking with pedestrians, which enables natural walking behavior in an empty real-world corridor while viewing an immersive VR environment (shopping mall with colliding and other pedestrians) presented in a head-mounted display (HMD). Critically, it measure…

CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks
Qi Chai, Zhang Zheng, Junlong Ren, Deheng Ye, Zichuan Lin, Hao Wang
https://arxiv.org/abs/2508.18797 …

CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks
Minecraft, as an open-world virtual interactive environment, has become a prominent platform for research on agent decision-making and execution. Existing works primarily adopt a single Large Language Model (LLM) agent to complete various in-game tasks. However, for complex tasks requiring lengthy sequences of actions, single-agent approaches often face challenges related to inefficiency and limited fault tolerance. Despite these issues, research on multi-agent collaboration remains scarce. In …

AdjustAR: AI-Driven In-Situ Adjustment of Site-Specific Augmented Reality Content
Nels Numan, Jessica Van Brummelen, Ziwen Lu, Anthony Steed
https://arxiv.org/abs/2508.06826 htt…

AdjustAR: AI-Driven In-Situ Adjustment of Site-Specific Augmented Reality Content
Site-specific outdoor AR experiences are typically authored using static 3D models, but are deployed in physical environments that change over time. As a result, virtual content may become misaligned with its intended real-world referents, degrading user experience and compromising contextual interpretation. We present AdjustAR, a system that supports in-situ correction of AR content in dynamic environments using multimodal large language models (MLLMs). Given a composite image comprising the o…

ArchGPT: Understanding the World's Architectures with Large Multimodal Models
Yuze Wang, Luo Yang, Junyi Wang, Yue Qi
https://arxiv.org/abs/2509.20858 https://

ArchGPT: Understanding the World's Architectures with Large Multimodal Models
Architecture embodies aesthetic, cultural, and historical values, standing as a tangible testament to human civilization. Researchers have long leveraged virtual reality (VR), mixed reality (MR), and augmented reality (AR) to enable immersive exploration and interpretation of architecture, enhancing accessibility, public understanding, and creative workflows around architecture in education, heritage preservation, and professional design practice. However, existing VR/MR/AR systems are often de…

Quantifying the Effect of Thermal Illusions in Virtual Reality
Yannick Weiss, Marlene Eder, Oguzhan Cesur, Steeven Villa
https://arxiv.org/abs/2509.01609 https://

Quantifying the Effect of Thermal Illusions in Virtual Reality
Thermal sensations are central to how we experience the world, yet most virtual and extended reality systems fail to simulate them effectively. While hardware-based thermal displays can provide accurate temperature changes, they are often bulky, power-intensive, and restrict user mobility. Consequently, recent works have explored thermal illusions, perceptual effects that rely on cross-modal interactions, to achieve thermal experiences without physical heating or cooling. While thermal illusion…

Developing Strategies to Increase Capacity in AI Education
Noah Q. Cowit, Sri Yash Tadimalla, Stephanie T. Jones, Mary Lou Maher, Tracy Camp, Enrico Pontelli
https://arxiv.org/abs/2509.21713

Developing Strategies to Increase Capacity in AI Education
Many institutions are currently grappling with teaching artificial intelligence (AI) in the face of growing demand and relevance in our world. The Computing Research Association (CRA) has conducted 32 moderated virtual roundtable discussions of 202 experts committed to improving AI education. These discussions slot into four focus areas: AI Knowledge Areas and Pedagogy, Infrastructure Challenges in AI Education, Strategies to Increase Capacity in AI Education, and AI Education for All. Roundtab…

Unlocking Mixed Reality for Medical Education: A See-Through Perspective on Head Anatomy
Yuqing Wei, Yupeng Wang, Jiayi Zhao, Yanjun Liu, Huxin Gao, Jiewen Lai
https://arxiv.org/abs/2509.00352

Unlocking Mixed Reality for Medical Education: A See-Through Perspective on Head Anatomy
Extended reality (XR), encompassing Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), is emerging as a transformative platform for medical education. Traditional methods such as textbooks, physical models, and cadaveric dissections often lack interactivity and fail to convey complex spatial relationships effectively. The emerging MR technology addresses these limitations by providing immersive environments that blend virtual elements with real-world contexts. This study pres…

The Interplay of Attention and Memory in Visual Enumeration
B. Sankar, Devottama Sen, Dibakar Sen
https://arxiv.org/abs/2510.05833 https://arxiv.org/pdf/25…

The Interplay of Attention and Memory in Visual Enumeration
Humans navigate and understand complex visual environments by subconsciously quantifying what they see, a process known as visual enumeration. However, traditional studies using flat screens fail to capture the cognitive dynamics of this process over the large visual fields of real-world scenes. To address this gap, we developed an immersive virtual reality system with integrated eye-tracking to investigate the interplay between attention and memory during complex enumeration. We conducted a tw…

DanceEditor: Towards Iterative Editable Music-driven Dance Generation with Open-Vocabulary Descriptions
Hengyuan Zhang, Zhe Li, Xingqun Qi, Mengze Li, Muyi Sun, Man Zhang, Sirui Han
https://arxiv.org/abs/2508.17342

DanceEditor: Towards Iterative Editable Music-driven Dance Generation with Open-Vocabulary Descriptions
Generating coherent and diverse human dances from music signals has gained tremendous progress in animating virtual avatars. While existing methods support direct dance synthesis, they fail to recognize that enabling users to edit dance movements is far more practical in real-world choreography scenarios. Moreover, the lack of high-quality dance datasets incorporating iterative editing also limits addressing this challenge. To achieve this goal, we first construct DanceRemix, a large-scale mult…

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…

VR Fire safety training application
Ujwal M R
https://arxiv.org/abs/2508.15788 https://arxiv.org/pdf/2508.15788

VR Fire safety training application
Fire emergencies can happen without warning and knowing how to respond quickly can save lives Unfortunately traditional fire drills can be disruptive costly and often fail to recreate the pressure of a real emergency This project introduces a Virtual Reality VR Fire Safety Training Application that gives people a safe yet realistic way to practice life saving skills Using a VR headset and motion controllers trainees step into a 3D world where fire hazards smoke and evacuation routes are brought…