Tootfinder

DriveSimQuest: A VR Driving Simulator and Research Platform on Meta Quest with Unity
Nishanth Chidambaram, Weichen Liu, Manas Satish Bedmutha, Nadir Weibel, Chen Chen
https://arxiv.org/abs/2508.11072

DriveSimQuest: A VR Driving Simulator and Research Platform on Meta Quest with Unity
Using head-mounted Virtual Reality (VR) displays to simulate driving is critical to studying driving behavior and designing driver assistance systems. But existing VR driving simulators are often limited to tracking only eye movements. The bulky outside-in tracking setup and Unreal-based architecture also present significant engineering challenges for interaction researchers and practitioners. We present DriveSimQuest, a VR driving simulator and research platform built on the Meta Quest Pro and…

SimInterview: Transforming Business Education through Large Language Model-Based Simulated Multilingual Interview Training System
Truong Thanh Hung Nguyen, Tran Diem Quynh Nguyen, Hoang Loc Cao, Thi Cam Thanh Tran, Thi Cam Mai Truong, Hung Cao
https://arxiv.org/abs/2508.11873

SimInterview: Transforming Business Education through Large Language Model-Based Simulated Multilingual Interview Training System
Business interview preparation demands both solid theoretical grounding and refined soft skills, yet conventional classroom methods rarely deliver the individualized, culturally aware practice employers currently expect. This paper introduces SimInterview, a large language model (LLM)-based simulated multilingual interview training system designed for business professionals entering the AI-transformed labor market. Our system leverages an LLM agent and synthetic AI technologies to create realis…

ID-Card Synthetic Generation: Toward a Simulated Bona fide Dataset
Qingwen Zeng, Juan E. Tapia, Izan Garcia, Juan M. Espin, Christoph Busch
https://arxiv.org/abs/2508.13078 http…

ID-Card Synthetic Generation: Toward a Simulated Bona fide Dataset
Nowadays, the development of a Presentation Attack Detection (PAD) system for ID cards presents a challenge due to the lack of images available to train a robust PAD system and the increase in diversity of possible attack instrument species. Today, most algorithms focus on generating attack samples and do not take into account the limited number of bona fide images. This work is one of the first to propose a method for mimicking bona fide images by generating synthetic versions of them using St…

Control of a commercial vehicle by a tetraplegic human using a bimanual brain-computer interface
Xinyun Zou, Jorge Gamez, Meghna Menon, Phillip Ring, Chadwick Boulay, Likhith Chitneni, Jackson Brennecke, Shana R. Melby, Gracy Kureel, Kelsie Pejsa, Emily R. Rosario, Ausaf A. Bari, Aniruddh Ravindran, Tyson Aflalo, Spencer S. Kellis, Dimitar Filev, Florian Solzbacher, Richard A. Andersen

Control of a commercial vehicle by a tetraplegic human using a bimanual brain-computer interface
Brain-computer interfaces (BCIs) read neural signals directly from the brain to infer motor planning and execution. However, the implementation of this technology has been largely limited to laboratory settings, with few real-world applications. We developed a bimanual BCI system to drive a vehicle in both simulated and real-world environments. We demonstrate that an individual with tetraplegia, implanted with intracortical BCI electrodes in the posterior parietal cortex (PPC) and the hand knob…

Fundamentals of the metal contact to p-type GaN: new multilayer design
Konrad Sakowski, Pawe{\l} Strak, Stanislaw Krukowski
https://arxiv.org/abs/2506.15163

Fundamentals of the metal contact to p-type GaN: new multilayer design
Electrical properties of contact to p-type nitride semiconductor devices, based on gallium nitride were simulated by ab initio and by drift-diffusion calculations. The contact electric properties are shown to be dominated by electron transfer form metal to GaN related to Fermi level difference both by ab initio and model calculation. The results indicate on high potential barrier for holes leading to nonohmic character of the contact. The electrical nature of the Ni-Au contact formed by anneali…

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…

Challenges in the nonlinear evolution of unequal mass binaries in sGB gravity
Llibert Arest\'e Sal\'o, Daniela D. Doneva, Katy Clough, Pau Figueras, Stoytcho S. Yazadjiev
https://arxiv.org/abs/2507.13046

Challenges in the nonlinear evolution of unequal mass binaries in sGB gravity
It has only recently become possible to simulate the full nonlinear dynamics of binary black holes in scalar-Gauss-Bonnet theories of gravity. The simulations remain technically challenging and evolutions of unequal mass binaries in particular have been difficult to follow through the merger. Even when the merger is successful, accurately quantifying the physical dephasing, as opposed to contributions from transients in the initial data and gauge adjustments, remains difficult. We show the firs…

Mantis: A Simulation-Grounded Foundation Model for Disease Forecasting
Carson Dudley, Reiden Magdaleno, Christopher Harding, Ananya Sharma, Emily Martin, Marisa Eisenberg
https://arxiv.org/abs/2508.12260

Mantis: A Simulation-Grounded Foundation Model for Disease Forecasting
Infectious disease forecasting in novel outbreaks or low resource settings has been limited by the need for disease-specific data, bespoke training, and expert tuning. We introduce Mantis, a foundation model trained entirely on mechanistic simulations, which enables out-of-the-box forecasting across diseases, regions, and outcomes, even in settings with limited historical data. Mantis is built on over 400 million simulated days of outbreak dynamics spanning diverse pathogens, transmission modes…

WebMall -- A Multi-Shop Benchmark for Evaluating Web Agents
Ralph Peeters, Aaron Steiner, Luca Schwarz, Julian Yuya Caspary, Christian Bizer
https://arxiv.org/abs/2508.13024 htt…

WebMall -- A Multi-Shop Benchmark for Evaluating Web Agents
LLM-based web agents have the potential to automate long-running web tasks, such as finding offers for specific products in multiple online shops and subsequently ordering the cheapest products that meet the users needs. This paper introduces WebMall, a multi-shop online shopping benchmark for evaluating the effectiveness and efficiency of web agents for comparison-shopping. WebMall consists of four simulated online shops populated with authentic product offers sourced from the Common Crawl, al…

Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model
Xianglong He, Chunli Peng, Zexiang Liu, Boyang Wang, Yifan Zhang, Qi Cui, Fei Kang, Biao Jiang, Mengyin An, Yangyang Ren, Baixin Xu, Hao-Xiang Guo, Kaixiong Gong, Cyrus Wu, Wei Li, Xuchen Song, Yang Liu, Eric Li, Yahui Zhou
https://arxiv.org/abs/2508.13009

Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model
Recent advances in interactive video generations have demonstrated diffusion model's potential as world models by capturing complex physical dynamics and interactive behaviors. However, existing interactive world models depend on bidirectional attention and lengthy inference steps, severely limiting real-time performance. Consequently, they are hard to simulate real-world dynamics, where outcomes must update instantaneously based on historical context and current actions. To address this, we pr…