Tootfinder

The Impact of Device Type, Data Practices, and Use Case Scenarios on Privacy Concerns about Eye-tracked Augmented Reality in the United States and Germany
Efe Bozkir, Babette B\"uhler, Xiaoyuan Wu, Enkelejda Kasneci, Lujo Bauer, Lorrie Faith Cranor
https://arxiv.org/abs/2509.09285

The Impact of Device Type, Data Practices, and Use Case Scenarios on Privacy Concerns about Eye-tracked Augmented Reality in the United States and Germany
Augmented reality technology will likely be prevalent with more affordable head-mounted displays. Integrating novel interaction modalities such as eye trackers into head-mounted displays could lead to collecting vast amounts of biometric data, which may allow inference of sensitive user attributes like health status or sexual preference, posing privacy issues. While previous works broadly examined privacy concerns about augmented reality, ours is the first to extensively explore privacy concern…

AZRA: Extending the Affective Capabilities of Zoomorphic Robots using Augmented Reality
Shaun Macdonald, Salma ElSayed, Mark McGill
https://arxiv.org/abs/2508.08507 https://

AZRA: Extending the Affective Capabilities of Zoomorphic Robots using Augmented Reality
Zoomorphic robots could serve as accessible and practical alternatives for users unable or unwilling to keep pets. However, their affective interactions are often simplistic and short-lived, limiting their potential for domestic adoption. In order to facilitate more dynamic and nuanced affective interactions and relationships between users and zoomorphic robots we present AZRA, a novel augmented reality (AR) framework that extends the affective capabilities of these robots without physical modi…

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…

Apple zur Vision Pro: Weiter "Volle Konzentration" auf Augmented Reality
Nach wie vor kostet Apples erstes Headset mindestens 4000 Euro. Offenbar werkelt der Konzern nur noch an der Software.

BodyWave: Egocentric Body Tracking using mmWave Radars on an MR Headset
Yin Li, Sean Korphi, Sam Shiu, Yasuo Morimoto, Jiang Zhu, Rajalakshimi Nandakumar
https://arxiv.org/abs/2509.07995

BodyWave: Egocentric Body Tracking using mmWave Radars on an MR Headset
Egocentric body tracking, also known as inside-out body tracking (IOBT), is an essential technology for applications like gesture control and codec avatar in mixed reality (MR), including augmented reality (AR) and virtual reality (VR). However, it is more challenging than exocentric body tracking due to the limited view angles of camera-based solutions, which provide only sparse and self-occluded input from head-mounted cameras, especially for lower-body parts. To address these challenges, we …

Seeing like Meta: Smart glasses and the ethics of augmented reality #AR

Seeing like Meta: Smart glasses and the ethics of augmented reality - ABC Religion & Ethics
Meta’s smart glasses are not just another consumer gadget; they are a step toward enclosing perception itself within a private platform — and when the interface is your glasses, there is no “outside”.

QoE-Aware Service Provision for Mobile AR Rendering: An Agent-Driven Approach
Conghao Zhou, Lulu Sun, Xiucheng Wang, Peng Yang, Feng Lyu, Sihan Lu, Xuemin Shen
https://arxiv.org/abs/2508.08627

QoE-Aware Service Provision for Mobile AR Rendering: An Agent-Driven Approach
Mobile augmented reality (MAR) is envisioned as a key immersive application in 6G, enabling virtual content rendering aligned with the physical environment through device pose estimation. In this paper, we propose a novel agent-driven communication service provisioning approach for edge-assisted MAR, aiming to reduce communication overhead between MAR devices and the edge server while ensuring the quality of experience (QoE). First, to address the inaccessibility of MAR application-specific inf…

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…

A Review of 10 Years of ProtoSpace: Spacecraft CAD Visualization in Collaborative Augmented Reality
Benjamin Nuernberger, Samuel-Hunter Berndt, Robert Tapella, Laura Mann, Aaron Plave, Sasha Samochina, Victor X. Luo
https://arxiv.org/abs/2510.06608

A Review of 10 Years of ProtoSpace: Spacecraft CAD Visualization in Collaborative Augmented Reality
ProtoSpace is a custom JPL-built platform to help scientists and engineers visualize their CAD models collaboratively in augmented reality (AR) and on the web in 3D. In addition to this main use case, ProtoSpace has been used throughout the entire spacecraft mission lifecycle and beyond: ventilator design and assembly; providing AR-based instructions to astronauts in-training; educating the next generation on the process of spacecraft design; etc. ProtoSpace has been used for a decade by NASA m…

PrivAR: Real-Time Privacy Protection for Location-Based Augmented Reality Applications
Shafizur Rahman Seeam, Ye Zheng, Zhengxiong Li, Yidan Hu
https://arxiv.org/abs/2508.02551 …

PrivAR: Real-Time Privacy Protection for Location-Based Augmented Reality Applications
Location-based augmented reality (LB-AR) applications, such as Pokémon Go, stream sub-second GPS updates to deliver responsive and immersive user experiences. However, this high-frequency location reporting introduces serious privacy risks. Protecting privacy in LB-AR is significantly more challenging than in traditional location-based services (LBS), as it demands real-time location protection with strong per-location and trajectory-level privacy guaranteed while maintaining low latency and h…

Digital Twins for Extended Reality Tourism: User Experience Evaluation Across User Groups
Maximilian Warsinke, Francesco Vona, Tanja Koji\'c, Jan-Niklas Voigt-Antons, Sebastian M\"oller
https://arxiv.org/abs/2509.07740

Digital Twins for Extended Reality Tourism: User Experience Evaluation Across User Groups
This study evaluates the user experience (UX) in extended reality (XR) tourism of two digital twin-based applications: an Augmented Reality Virtual Tour (AR-VT) for enhanced on-site visits and a Virtual Reality Virtual Tour (VR-VT) for remote exploration. Using a quantitative exploratory approach, 84 participants from Spain and Germany, divided into three sample groups, assessed UX, task load, presence, cybersickness, and emotional response through standardized questionnaires. Findings indicate…

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet
Mohammad Saeid, Amir Salarpour, Pedram MohajerAnsari
https://arxiv.org/abs/2509.05198 https://

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet
The classification of 3D point clouds is crucial for applications such as autonomous driving, robotics, and augmented reality. However, the commonly used ModelNet40 dataset suffers from limitations such as inconsistent labeling, 2D data, size mismatches, and inadequate class differentiation, which hinder model performance. This paper introduces ModelNet-R, a meticulously refined version of ModelNet40 designed to address these issues and serve as a more reliable benchmark. Additionally, this pap…

MIRAGE: Patient-Specific Mixed Reality Coaching for MRI via Depth-Only Markerless Registration and Immersive VR
Daniel Brooks, Emily Carter, Hu Guo, Rajesh Nair
https://arxiv.org/abs/2510.01743

MIRAGE: Patient-Specific Mixed Reality Coaching for MRI via Depth-Only Markerless Registration and Immersive VR
Magnetic resonance imaging (MRI) is an indispensable diagnostic tool, yet the confined bore and acoustic noise can evoke considerable anxiety and claustrophobic reactions. High anxiety leads to motion artifacts, incomplete scans and reliance on pharmacological sedation. MIRAGE (Mixed Reality Anxiety Guidance Environment) harnesses the latest mixed reality (MR) hardware to prepare patients for MRI through immersive virtual reality (VR) and markerless augmented reality (AR) registration. In this …

Magic Leap: Wie der Traum von der Wunder-AR-Brille platzte
Zwischen Vision, Hype und Restrukturierung: Wie ein Augmented-Reality-Start-up mit Milliardenkapital beinahe kollabierte und heute neue Wege geht.
…

You can find The vOICe for Android on Google Play by searching for "seeingwithsound" or "sensory substitution" (including the double quotes!), or head directly to https://play.google.com/store/apps/details?id=vOICe.vOICe "sensory substitution" for…

The vOICe for Android - Apps on Google Play
Augmented Reality for the Blind: See with your Ears!

Hue4U: Real-Time Personalized Color Correction in Augmented Reality
Jingwen Qin, Semen Checherin, Yue Li, Berend-Jan van der Zwaag, \"Ozlem Durmaz-Incel
https://arxiv.org/abs/2509.06776

Hue4U: Real-Time Personalized Color Correction in Augmented Reality
Color Vision Deficiency (CVD) affects nearly 8 percent of men and 0.5 percent of women worldwide. Existing color-correction methods often rely on prior clinical diagnosis and static filtering, making them less effective for users with mild or moderate CVD. In this paper, we introduce Hue4U, a personalized, real-time color-correction system in augmented reality using consumer-grade Meta Quest headsets. Unlike previous methods, Hue4U requires no prior medical diagnosis and adapts to the user in r…

ARMimic: Learning Robotic Manipulation from Passive Human Demonstrations in Augmented Reality
Rohan Walia (Department of Computer Engineering, Munich Institute of Robotics and Machine Intelligence), Yusheng Wang (Department of Precision Engineering, Research into Artifacts, Center for Engineering), Ralf R\"omer (Department of Computer Engineering, Munich Institute of Robotics and Machine Intelligence), Masahiro Nishio (Toyota Motor Corporation, Japan), Angela P. Schoellig (Departm…

ARMimic: Learning Robotic Manipulation from Passive Human Demonstrations in Augmented Reality
Imitation learning is a powerful paradigm for robot skill acquisition, yet conventional demonstration methods--such as kinesthetic teaching and teleoperation--are cumbersome, hardware-heavy, and disruptive to workflows. Recently, passive observation using extended reality (XR) headsets has shown promise for egocentric demonstration collection, yet current approaches require additional hardware, complex calibration, or constrained recording conditions that limit scalability and usability. We pre…

Multimodal Feedback for Task Guidance in Augmented Reality
Hu Guo, Lily Patel, Rohan Gupt
https://arxiv.org/abs/2510.01690 https://arxiv.org/pdf/2510.01690…

Multimodal Feedback for Task Guidance in Augmented Reality
Optical see-through augmented reality (OST-AR) overlays digital targets and annotations on the physical world, offering promising guidance for hands-on tasks such as medical needle insertion or assembly. Recent work on OST-AR depth perception shows that target opacity and tool visualization significantly affect accuracy and usability; opaque targets and rendering the real instrument reduce depth errors, whereas transparent targets and absent tools impair performance. However, reliance on visual…

Source: Snap is considering raising outside money to fund Spectacles development or spinning off Spectacles, to compete with deeper-pocketed rivals like Meta (The Information)
https://www.theinformation.com/articles/struggling-snap-considers-outsi…

Struggling Snap Considers Outside Funding for AR Glasses
For nearly as long as Evan Spiegel has run Snap Inc., his big bet has been on Spectacles, the company’s augmented reality glasses. All together, he has poured $3 billion into the effort—a fraction of what Mark Zuckerberg at Meta Platforms has invested in wearable technology, but a major expense ...

User-Centric Communication Service Provision for Edge-Assisted Mobile Augmented Reality
Conghao Zhou, Jie Gao, Shisheng Hu, Nan Cheng, Weihua Zhuang, Xuemin Shen
https://arxiv.org/abs/2509.25905

User-Centric Communication Service Provision for Edge-Assisted Mobile Augmented Reality
Future 6G networks are envisioned to facilitate edge-assisted mobile augmented reality (MAR) via strengthening the collaboration between MAR devices and edge servers. In order to provide immersive user experiences, MAR devices must timely upload camera frames to an edge server for simultaneous localization and mapping (SLAM)-based device pose tracking. In this paper, to cope with user-specific and non-stationary uplink data traffic, we develop a digital twin (DT)-based approach for user-centric…

🪩 HUSH: Holistic panoramic 3D scene understanding using spherical harmonics
#ai

HUSH: Holistic panoramic 3D scene understanding using spherical harmonics
An advanced artificial intelligence (AI) technology has been developed that can extract three-dimensional (3D) spatial structure and object information within indoor environments using just a single 360-degree panoramic photograph. This breakthrough is expected to significantly impact fields requiring precise spatial understanding, including augmented reality (AR), mixed reality (MR), and digital twin applications.

EgoPrompt: Prompt Pool Learning for Egocentric Action Recognition
Huaihai Lyu, Chaofan Chen, Yuheng Ji, Changsheng Xu
https://arxiv.org/abs/2508.03266 https://

EgoPrompt: Prompt Pool Learning for Egocentric Action Recognition
Driven by the increasing demand for applications in augmented and virtual reality, egocentric action recognition has emerged as a prominent research area. It is typically divided into two subtasks: recognizing the performed behavior (i.e., verb component) and identifying the objects being acted upon (i.e., noun component) from the first-person perspective. However, most existing approaches treat these two components as independent classification tasks, focusing on extracting component-specific …

LightCom: A Generative AI-Augmented Framework for QoE-Oriented Communications
Chunmei Xu, Siqi Zhang, Yi Ma, Rahim Tafazolli
https://arxiv.org/abs/2507.17352 https://

LightCom: A Generative AI-Augmented Framework for QoE-Oriented Communications
Data-intensive and immersive applications, such as virtual reality, impose stringent quality of experience (QoE) requirements that challenge traditional quality of service (QoS)-driven communication systems. This paper presents LightCom, a lightweight encoding and generative AI (GenAI)-augmented decoding framework, designed for QoE-oriented communications under low signal-to-noise ratio (SNR) conditions. LightCom simplifies transmitter design by applying basic low-pass filtering for source codi…

Might be a good time to get caught up on this ARG if they are going to do more!
#criticalRole

Perceptual Evaluation of Extrapolated Spatial Room Impulse Responses From a Mono Source
Ben Heritage, Fiona Ryder, Michael McLoughlin, Karolina Prawda
https://arxiv.org/abs/2510.04937

Perceptual Evaluation of Extrapolated Spatial Room Impulse Responses From a Mono Source
Immersion in virtual and augmented reality solutions is reliant on plausible spatial audio. However, plausibly representing a space for immersive audio often requires many individual acoustic measurements of source-microphone pairs with specialist spatial microphones, making the procedure time-consuming and expensive. In this study, we evaluate the plausibility of extrapolated and spatialised Room Impulse Responses (RIRs) by using a 3-Alternative Forced Choice (3AFC) listening test. The stimuli…

Perceived Weight of Mediated Reality Sticks
Satoshi Hashiguchi, Yuta Kataoka, Asako Kimura, Shohei Mori
https://arxiv.org/abs/2510.00191 https://arxiv.org/…

Perceived Weight of Mediated Reality Sticks
Mediated reality, where augmented reality (AR) and diminished reality (DR) meet, enables visual modifications to real-world objects. A physical object with a mediated reality visual change retains its original physical properties. However, it is perceived differently from the original when interacted with. We present such a mediated reality object, a stick with different lengths or a stick with a missing portion in the middle, to investigate how users perceive its weight and center of gravity. …

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…

Capture and Interact: Rapid 3D Object Acquisition and Rendering with Gaussian Splatting in Unity
Islomjon Shukhratov, Sergey Gorinsky
https://arxiv.org/abs/2510.06802 https://…

Capture and Interact: Rapid 3D Object Acquisition and Rendering with Gaussian Splatting in Unity
Capturing and rendering three-dimensional (3D) objects in real time remain a significant challenge, yet hold substantial potential for applications in augmented reality, digital twin systems, remote collaboration and prototyping. We present an end-to-end pipeline that leverages 3D Gaussian Splatting (3D GS) to enable rapid acquisition and interactive rendering of real-world objects using a mobile device, cloud processing and a local computer. Users scan an object with a smartphone video, upload…

Eyepiece-free pupil-optimized holographic near-eye displays
Jie Zhou, Shuyang Xie, Yang Wu, Lei Jiang, Yimou Luo, Jun Wang
https://arxiv.org/abs/2507.22420 https://

Eyepiece-free pupil-optimized holographic near-eye displays
Computer-generated holography (CGH) represents a transformative visualization approach for next-generation immersive virtual and augmented reality (VR/AR) displays, enabling precise wavefront modulation and naturally providing comprehensive physiological depth cues without the need for bulky optical assemblies. Despite significant advancements in computational algorithms enhancing image quality and achieving real-time generation, practical implementations of holographic near-eye displays (NEDs)…

Mixed Reality Guidance of a Surgical Scalpel Using Magic Leap: Evaluation on a 3D-Printed Liver Phantom
Alice Yang, Michael Beasley, Catherine Taylor, Hu Guo
https://arxiv.org/abs/2510.03617

Mixed Reality Guidance of a Surgical Scalpel Using Magic Leap: Evaluation on a 3D-Printed Liver Phantom
Augmented and mixed reality (MR) systems have the potential to improve surgical precision by overlaying digital guidance directly onto the operative field. This paper presents a novel MR guidance system using the Magic Leap head-mounted display to assist surgeons in executing precise scalpel movements during liver surgery. The system projects holographic cues onto a patient-specific 3D-printed liver phantom, guiding resection along a predetermined path. We describe the system design, including …

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…

Innovating Augmented Reality Security: Recent E2E Encryption Approaches
Hamish Alsop, Leandros Maglaras, Helge Janicke, Iqbal H. Sarker, Mohamed Amine Ferrag
https://arxiv.org/abs/2509.10313

Innovating Augmented Reality Security: Recent E2E Encryption Approaches
End-to-end encryption (E2EE) has emerged as a fundamental element of modern digital communication, protecting data from unauthorized access during transmission. By design, E2EE ensures that only the intended recipient can decrypt the information, making it inaccessible even to service providers. Yet, this powerful safeguard of individual privacy and digital trust also introduces a paradox: it can simultaneously prevent law enforcement efforts by hiding potential malicious activities. This paper…

Hands-on with Meta Ray-Ban Display and Neural Band: small display adds new functionality, useful real-time translation, Neural Band seems the ideal input method (Ben Lang/Road to VR)
https://www.roadtovr.com/hands-on-meta-ray-b…

Hands-on: Meta Ray-Ban Display Glasses & Neural Band Offer a Glimpse of Future AR Glasses
The newly announced Meta Ray-Ban Display glasses, and the ‘Neural Band’ input device that comes with them, are still far from proper augmented reality. But Meta has made several clever design choices that will pay dividends once their true AR glasses are ready for the masses. The Ray-Ban Display glasses are a new category for …

Augmented Reality-Enhanced Robot Teleoperation for Collecting User Demonstrations
Shiqi Gong, Sebastian Zudaire, Chi Zhang, Zhen Li
https://arxiv.org/abs/2509.11783 https://

Augmented Reality-Enhanced Robot Teleoperation for Collecting User Demonstrations
Traditional industrial robot programming is often complex and time-consuming, typically requiring weeks or even months of effort from expert programmers. Although Programming by Demonstration (PbD) offers a more accessible alternative, intuitive interfaces for robot control and demonstration collection remain challenging. To address this, we propose an Augmented Reality (AR)-enhanced robot teleoperation system that integrates AR-based control with spatial point cloud rendering, enabling intuiti…

Finding My Way: Influence of Different Audio Augmented Reality Navigation Cues on User Experience and Subjective Usefulness
Sina Hinzmann, Francesco Vona, Juliane Henning, Mohamed Amer, Omar Abdellatif, Tanja Kojic, Jan-Niklas Voigt-Antons
https://arxiv.org/abs/2509.03199

Finding My Way: Influence of Different Audio Augmented Reality Navigation Cues on User Experience and Subjective Usefulness
As augmented reality (AR) becomes increasingly prevalent in mobile and context-aware applications, the role of auditory cues in guiding users through physical environments is becoming critical. This study investigates the effectiveness and user experience of various categories of audio cues, including fully non-verbal sounds and speech-derived Spearcons, during outdoor navigation tasks using the Meta Quest 3 headset. Twenty participants navigated five outdoor routes using audio-only cue types: …

Crosslisted article(s) found for cs.GR. https://arxiv.org/list/cs.GR/new
[1/1]:
- A Review of 10 Years of ProtoSpace: Spacecraft CAD Visualization in Collaborative Augmented Reality
Nuernberger, Berndt, Tapella, Mann, Plave, Samochina, Luo

Demonstrating Visual Information Manipulation Attacks in Augmented Reality: A Hands-On Miniature City-Based Setup
Yanming Xiu, Maria Gorlatova
https://arxiv.org/abs/2509.02933 h…

Demonstrating Visual Information Manipulation Attacks in Augmented Reality: A Hands-On Miniature City-Based Setup
Augmented reality (AR) enhances user interaction with the real world but also presents vulnerabilities, particularly through Visual Information Manipulation (VIM) attacks. These attacks alter important real-world visual cues, leading to user confusion and misdirected actions. In this demo, we present a hands-on experience using a miniature city setup, where users interact with manipulated AR content via the Meta Quest 3. The demo highlights the impact of VIM attacks on user decision-making and …

Uniting the World by Dividing it: Federated Maps to Enable Spatial Applications
Sagar Bharadwaj, Srinivasan Seshan, Anthony Rowe
https://arxiv.org/abs/2507.11437

Uniting the World by Dividing it: Federated Maps to Enable Spatial Applications
The emergence of the Spatial Web -- the Web where content is tied to real-world locations has the potential to improve and enable many applications such as augmented reality, navigation, robotics, and more. The Spatial Web is missing a key ingredient that is impeding its growth -- a spatial naming system to resolve real-world locations to names. Today's spatial naming systems are digital maps such as Google and Apple maps. These maps and the location-based services provided on top of these maps…

Point Cloud Streaming with Latency-Driven Implicit Adaptation using MoQ
Andrew Freeman, Michael Rudolph, Amr Rizk
https://arxiv.org/abs/2507.15673 https://…

Point Cloud Streaming with Latency-Driven Implicit Adaptation using MoQ
Point clouds are a promising video representation for next-generation multimedia experiences in virtual and augmented reality. Point clouds are notoriously high-bitrate, however, which limits the feasibility of live streaming systems. Prior methods have adopted traditional HTTP-based protocols for point cloud streaming, but they rely on explicit client-side adaptation to maintain low latency under congestion. In this work, we leverage the delivery timeout feature within the Media Over QUIC prot…

Room Impulse Response Generation Conditioned on Acoustic Parameters
Silvia Arellano, Chunghsin Yeh, Gautam Bhattacharya, Daniel Arteaga
https://arxiv.org/abs/2507.12136

Room Impulse Response Generation Conditioned on Acoustic Parameters
The generation of room impulse responses (RIRs) using deep neural networks has attracted growing research interest due to its applications in virtual and augmented reality, audio postproduction, and related fields. Most existing approaches condition generative models on physical descriptions of a room, such as its size, shape, and surface materials. However, this reliance on geometric information limits their usability in scenarios where the room layout is unknown or when perceptual realism (ho…

STARC: See-Through-Wall Augmented Reality Framework for Human-Robot Collaboration in Emergency Response
Shenghai Yuan, Weixiang Guo, Tianxin Hu, Yu Yang, Jinyu Chen, Rui Qian, Zhongyuan Liu, Lihua Xie
https://arxiv.org/abs/2509.15507

STARC: See-Through-Wall Augmented Reality Framework for Human-Robot Collaboration in Emergency Response
In emergency response missions, first responders must navigate cluttered indoor environments where occlusions block direct line-of-sight, concealing both life-threatening hazards and victims in need of rescue. We present STARC, a see-through AR framework for human-robot collaboration that fuses mobile-robot mapping with responder-mounted LiDAR sensing. A ground robot running LiDAR-inertial odometry performs large-area exploration and 3D human detection, while helmet- or handheld-mounted LiDAR o…

Investigating Encoding and Perspective for Augmented Reality
Jade Kandel, Sriya Kasumarthi, Spiros Tsalikis, Chelsea Duppen, Daniel Szafir, Michael Lewek, Henry Fuchs, Danielle Szafir
https://arxiv.org/abs/2510.00407

Investigating Encoding and Perspective for Augmented Reality
Augmented reality (AR) offers promising opportunities to support movement-based activities, such as personal training or physical therapy, with real-time, spatially-situated visual cues. While many approaches leverage AR to guide motion, existing design guidelines focus on simple, upper-body movements within the user's field of view. We lack evidence-based design recommendations for guiding more diverse scenarios involving movements with varying levels of visibility and direction. We conducted …

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models
Jo\~ao Valente, Atabak Dehban, Rodrigo Ventura
https://arxiv.org/abs/2508.21732

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models
Recent advancements in Large Vision-Language Models (LVLMs) have demonstrated impressive capabilities across various multimodal tasks. They continue, however, to struggle with trivial scenarios such as reading values from Digital Measurement Devices (DMDs), particularly in real-world conditions involving clutter, occlusions, extreme viewpoints, and motion blur; common in head-mounted cameras and Augmented Reality (AR) applications. Motivated by these limitations, this work introduces CAD2DMD-SE…

The vOICe for Android v2.76 released. Added support for Android 16. Added an experimental AI compatibility mode for Google Gemini Live (hi-res color camera preview), toggled by fast-swiping right on The vOICe main screen on your smartphone.
https://play.google.com/store/apps/detai…

The vOICe for Android - Apps on Google Play
Augmented Reality for the Blind: See with your Ears!

Identification of Design Recommendations for Augmented Reality Authors in Corporate Training
Stefan Graser, Martin Schrepp, Stephan B\"ohm
https://arxiv.org/abs/2507.21722 …

Identification of Design Recommendations for Augmented Reality Authors in Corporate Training
Innovative technologies, such as Augmented Reality (AR), introduce new interaction paradigms, demanding the identification of software requirements during the software development process. In general, design recommendations are related to this, supporting the design of applications positively and meeting stakeholder needs. However, current research lacks context-specific AR design recommendations. This study addresses this gap by identifying and analyzing practical AR design recommendations rel…

GS-Share: Enabling High-fidelity Map Sharing with Incremental Gaussian Splatting
Xinran Zhang, Hanqi Zhu, Yifan Duan, Yanyong Zhang
https://arxiv.org/abs/2510.02884 https://

GS-Share: Enabling High-fidelity Map Sharing with Incremental Gaussian Splatting
Constructing and sharing 3D maps is essential for many applications, including autonomous driving and augmented reality. Recently, 3D Gaussian splatting has emerged as a promising approach for accurate 3D reconstruction. However, a practical map-sharing system that features high-fidelity, continuous updates, and network efficiency remains elusive. To address these challenges, we introduce GS-Share, a photorealistic map-sharing system with a compact representation. The core of GS-Share includes …

CCNeXt: An Effective Self-Supervised Stereo Depth Estimation Approach
Alexandre Lopes, Roberto Souza, Helio Pedrini
https://arxiv.org/abs/2509.22627 https://

CCNeXt: An Effective Self-Supervised Stereo Depth Estimation Approach
Depth Estimation plays a crucial role in recent applications in robotics, autonomous vehicles, and augmented reality. These scenarios commonly operate under constraints imposed by computational power. Stereo image pairs offer an effective solution for depth estimation since it only needs to estimate the disparity of pixels in image pairs to determine the depth in a known rectified system. Due to the difficulty in acquiring reliable ground-truth depth data across diverse scenarios, self-supervis…

Binaural Speech Enhancement Using Complex Convolutional Recurrent Networks
Vikas Tokala, Eric Grinstein, Mike Brookes, Simon Doclo, Jesper Jensen, Patrick A. Naylor
https://arxiv.org/abs/2507.20023

Binaural Speech Enhancement Using Complex Convolutional Recurrent Networks
From hearing aids to augmented and virtual reality devices, binaural speech enhancement algorithms have been established as state-of-the-art techniques to improve speech intelligibility and listening comfort. In this paper, we present an end-to-end binaural speech enhancement method using a complex recurrent convolutional network with an encoder-decoder architecture and a complex LSTM recurrent block placed between the encoder and decoder. A loss function that focuses on the preservation of spa…

Sonify Anything: Towards Context-Aware Sonic Interactions in AR
Laura Sch\"utz, Sasan Matinfar, Ulrich Eck, Daniel Roth, Nassir Navab
https://arxiv.org/abs/2508.01789 https…

Sonify Anything: Towards Context-Aware Sonic Interactions in AR
In Augmented Reality (AR), virtual objects interact with real objects. However, the lack of physicality of virtual objects leads to the absence of natural sonic interactions. When virtual and real objects collide, either no sound or a generic sound is played. Both lead to an incongruent multisensory experience, reducing interaction and object realism. Unlike in Virtual Reality (VR) and games, where predefined scenes and interactions allow for the playback of pre-recorded sound samples, AR requi…

EfficientDepth: A Fast and Detail-Preserving Monocular Depth Estimation Model
Andrii Litvynchuk, Ivan Livinsky, Anand Ravi, Nima Kalantari, Andrii Tsarov
https://arxiv.org/abs/2509.22527

EfficientDepth: A Fast and Detail-Preserving Monocular Depth Estimation Model
Monocular depth estimation (MDE) plays a pivotal role in various computer vision applications, such as robotics, augmented reality, and autonomous driving. Despite recent advancements, existing methods often fail to meet key requirements for 3D reconstruction and view synthesis, including geometric consistency, fine details, robustness to real-world challenges like reflective surfaces, and efficiency for edge devices. To address these challenges, we introduce a novel MDE system, called Efficien…

Deeply Subwavelength Blue-Range Nanolaser
Daria Khemelevskaia, Nikolai Solodovchenko, Elizaveta Sapozhnikova, Igor Chestnov, Alexey Dmitriev, Vanik Shahnazaryan, Denis Baranov, Sergey Makarov
https://arxiv.org/abs/2509.13062

Deeply Subwavelength Blue-Range Nanolaser
Modern high-definition display and augmented reality technologies require the development of ultracompact micro- and nano-pixels with colors covering the full gamut and high brightness. In this regard, lasing nano-pixels emitting light in the spectral range 400-700 nm are highly demanded. Despite progress in red, green, and ultraviolet nanolasers, the demonstrated blue-range (400-500 nm) single-particle-based lasers are still not subwavelength yet. Here we fabricate CsPbCl$_3$ cubic-shaped sing…

#zuck #orion #ar #vr #glasses

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…

Outpace Reality: A Novel Augmented-Walking Technique for Virtual Reality Games
Sebastian Cmentowski, Fabian Kievelitz, Jens Kr\"uger
https://arxiv.org/abs/2508.11314 https:…

Outpace Reality: A Novel Augmented-Walking Technique for Virtual Reality Games
The size of most virtual environments exceeds the tracking space available for physical walking. One solution to this disparity is to extend the available walking range by augmenting users' actual movements. However, the resulting increase in visual flow can easily cause cybersickness. Therefore, we present a novel augmented-walking approach for virtual reality games. Our core concept is a virtual tunnel that spans the entire travel distance when viewed from the outside. However, its interior i…

Vehicular Cloud Computing: A cost-effective alternative to Edge Computing in 5G networks
Rosario Patan\`e, Nadjib Achir, Andrea Araldo, Lila Boukhatem
https://arxiv.org/abs/2507.15670

Vehicular Cloud Computing: A cost-effective alternative to Edge Computing in 5G networks
Edge Computing (EC) is a computational paradigm that involves deploying resources such as CPUs and GPUs near end-users, enabling low-latency applications like augmented reality and real-time gaming. However, deploying and maintaining a vast network of EC nodes is costly, which can explain its limited deployment today. A new paradigm called Vehicular Cloud Computing (VCC) has emerged and inspired interest among researchers and industry. VCC opportunistically utilizes existing and idle vehicular …

Spatio-Temporal Mixed and Augmented Reality Experience Description for Interactive Playback
Dooyoung Kim, Woontack Woo
https://arxiv.org/abs/2508.15258 https://

Spatio-Temporal Mixed and Augmented Reality Experience Description for Interactive Playback
We propose the Spatio-Temporal Mixed and Augmented Reality Experience Description (MAR-ED), a novel framework to standardize the representation of past events for interactive and adaptive playback in a user's present physical space. While current spatial media technologies have primarily focused on capturing or replaying content as static assets, often disconnected from the viewer's environment or offering limited interactivity, the means to describe an experience's underlying semantic and inte…

Denoising-While-Completing Network (DWCNet): Robust Point Cloud Completion Under Corruption
Keneni W. Tesema, Lyndon Hill, Mark W. Jones, Gary K. L. Tam
https://arxiv.org/abs/2507.16743

Denoising-While-Completing Network (DWCNet): Robust Point Cloud Completion Under Corruption
Point cloud completion is crucial for 3D computer vision tasks in autonomous driving, augmented reality, and robotics. However, obtaining clean and complete point clouds from real-world environments is challenging due to noise and occlusions. Consequently, most existing completion networks -- trained on synthetic data -- struggle with real-world degradations. In this work, we tackle the problem of completing and denoising highly corrupted partial point clouds affected by multiple simultaneous d…

Say It, See It: A Systematic Evaluation on Speech-Based 3D Content Generation Methods in Augmented Reality
Yanming Xiu, Joshua Chilukuri, Shunav Sen, Maria Gorlatova
https://arxiv.org/abs/2508.12498

Say It, See It: A Systematic Evaluation on Speech-Based 3D Content Generation Methods in Augmented Reality
As augmented reality (AR) applications increasingly require 3D content, generative pipelines driven by natural input such as speech offer an alternative to manual asset creation. In this work, we design a modular, edge-assisted architecture that supports both direct text-to-3D and text-image-to-3D pathways, enabling interchangeable integration of state-of-the-art components and systematic comparison of their performance in AR settings. Using this architecture, we implement and evaluate four rep…

Unleashing the Power of Discrete-Time State Representation: Ultrafast Target-based IMU-Camera Spatial-Temporal Calibration
Junlin Song, Antoine Richard, Miguel Olivares-Mendez
https://arxiv.org/abs/2509.12846

Unleashing the Power of Discrete-Time State Representation: Ultrafast Target-based IMU-Camera Spatial-Temporal Calibration
Visual-inertial fusion is crucial for a large amount of intelligent and autonomous applications, such as robot navigation and augmented reality. To bootstrap and achieve optimal state estimation, the spatial-temporal displacements between IMU and cameras must be calibrated in advance. Most existing calibration methods adopt continuous-time state representation, more specifically the B-spline. Despite these methods achieve precise spatial-temporal calibration, they suffer from high computational…

DARAS: Dynamic Audio-Room Acoustic Synthesis for Blind Room Impulse Response Estimation
Chunxi Wang, Maoshen Jia, Wenyu Jin
https://arxiv.org/abs/2507.08135

DARAS: Dynamic Audio-Room Acoustic Synthesis for Blind Room Impulse Response Estimation
Room Impulse Responses (RIRs) accurately characterize acoustic properties of indoor environments and play a crucial role in applications such as speech enhancement, speech recognition, and audio rendering in augmented reality (AR) and virtual reality (VR). Existing blind estimation methods struggle to achieve practical accuracy. To overcome this challenge, we propose the dynamic audio-room acoustic synthesis (DARAS) model, a novel deep learning framework that is explicitly designed for blind RI…

Towards Effective Immersive Technologies in Medicine: Potential and Future Applications based on VR, AR, XR and AI solutions
Aliaksandr Marozau, Barbara Karpowicz, Tomasz Kowalewski, Pavlo Zinevych, Wiktor Stawski, Adam Kuzdrali\'nski, Wies{\l}aw Kope\'c
https://arxiv.org/abs/2507.19466

Towards Effective Immersive Technologies in Medicine: Potential and Future Applications based on VR, AR, XR and AI solutions
Mixed Reality (MR) technologies such as Virtual and Augmented Reality (VR, AR) are well established in medical practice, enhancing diagnostics, treatment, and education. However, there are still some limitations and challenges that may be overcome thanks to the latest generations of equipment, software, and frameworks based on eXtended Reality (XR) by enabling immersive systems that support safer, more controlled environments for training and patient care. Our review highlights recent VR and AR…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[2/4]:
- TaoAvatar: Real-Time Lifelike Full-Body Talking Avatars for Augmented Reality via 3D Gaussian Spl...
Jianchuan Chen, Jingchuan Hu, Gaige Wang, Zhonghua Jiang, Tiansong Zhou, Zhiwen Chen, Chengfei Lv

Understanding Cognitive States from Head & Hand Motion Data
Kaiang Wen, Mark Roman Miller
https://arxiv.org/abs/2509.24255 https://arxiv.org/pdf/2509.2…

Understanding Cognitive States from Head & Hand Motion Data
As virtual reality (VR) and augmented reality (AR) continue to gain popularity, head and hand motion data captured by consumer VR systems have become ubiquitous. Prior work shows that such telemetry can be highly identifying and reflect broad user traits, often aligning with intuitive "folk theories" of body language. However, it remains unclear to what extent motion kinematics encode more nuanced cognitive states, such as confusion, hesitation, and readiness, which lack clear correlates with m…

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 …

An Embodied AR Navigation Agent: Integrating BIM with Retrieval-Augmented Generation for Language Guidance
Hsuan-Kung Yang, Tsu-Ching Hsiao, Ryoichiro Oka, Ryuya Nishino, Satoko Tofukuji, Norimasa Kobori
https://arxiv.org/abs/2508.16602

An Embodied AR Navigation Agent: Integrating BIM with Retrieval-Augmented Generation for Language Guidance
Delivering intelligent and adaptive navigation assistance in augmented reality (AR) requires more than visual cues, as it demands systems capable of interpreting flexible user intent and reasoning over both spatial and semantic context. Prior AR navigation systems often rely on rigid input schemes or predefined commands, which limit the utility of rich building data and hinder natural interaction. In this work, we propose an embodied AR navigation system that integrates Building Information Mod…

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving
Xianda Guo, Ruijun Zhang, Yiqun Duan, Ruilin Wang, Keyuan Zhou, Wenzhao Zheng, Wenke Huang, Gangwei Xu, Mike Horton, Yuan Si, Hao Zhao, Long Chen
https://arxiv.org/abs/2508.13977

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving
Depth estimation is a fundamental task for 3D scene understanding in autonomous driving, robotics, and augmented reality. Existing depth datasets, such as KITTI, nuScenes, and DDAD, have advanced the field but suffer from limitations in diversity and scalability. As benchmark performance on these datasets approaches saturation, there is an increasing need for a new generation of large-scale, diverse, and cost-efficient datasets to support the era of foundation models and multi-modal learning. T…

SmartPoser: Arm Pose Estimation with a Smartphone and Smartwatch Using UWB and IMU Data
Nathan DeVrio, Vimal Mollyn, Chris Harrison
https://arxiv.org/abs/2509.03451 https://

SmartPoser: Arm Pose Estimation with a Smartphone and Smartwatch Using UWB and IMU Data
The ability to track a user's arm pose could be valuable in a wide range of applications, including fitness, rehabilitation, augmented reality input, life logging, and context-aware assistants. Unfortunately, this capability is not readily available to consumers. Systems either require cameras, which carry privacy issues, or utilize multiple worn IMUs or markers. In this work, we describe how an off-the-shelf smartphone and smartwatch can work together to accurately estimate arm pose. Moving be…

Random-phase Gaussian Wave Splatting for Computer-generated Holography
Brian Chao, Jacqueline Yang, Suyeon Choi, Manu Gopakumar, Ryota Koiso, Gordon Wetzstein
https://arxiv.org/abs/2508.17480

Random-phase Gaussian Wave Splatting for Computer-generated Holography
Holographic near-eye displays offer ultra-compact form factors for virtual and augmented reality systems, but rely on advanced computer-generated holography (CGH) algorithms to convert 3D scenes into interference patterns that can be displayed on spatial light modulators (SLMs). Gaussian Wave Splatting (GWS) has recently emerged as a powerful CGH paradigm that allows for the conversion of Gaussians, a state-of-the-art neural 3D representation, into holograms. However, GWS assumes smooth-phase d…

EgoTouch: On-Body Touch Input Using AR/VR Headset Cameras
Vimal Mollyn, Chris Harrison
https://arxiv.org/abs/2509.01786 https://arxiv.org/pdf/2509.01786

EgoTouch: On-Body Touch Input Using AR/VR Headset Cameras
In augmented and virtual reality (AR/VR) experiences, a user's arms and hands can provide a convenient and tactile surface for touch input. Prior work has shown on-body input to have significant speed, accuracy, and ergonomic benefits over in-air interfaces, which are common today. In this work, we demonstrate high accuracy, bare hands (i.e., no special instrumentation of the user) skin input using just an RGB camera, like those already integrated into all modern XR headsets. Our results show t…

A Survey of Deep Learning-based Point Cloud Denoising
Jinxi Wang, Ben Fei, Dasith de Silva Edirimuni, Zheng Liu, Ying He, Xuequan Lu
https://arxiv.org/abs/2508.17011 https://

A Survey of Deep Learning-based Point Cloud Denoising
Accurate 3D geometry acquisition is essential for a wide range of applications, such as computer graphics, autonomous driving, robotics, and augmented reality. However, raw point clouds acquired in real-world environments are often corrupted with noise due to various factors such as sensor, lighting, material, environment etc, which reduces geometric fidelity and degrades downstream performance. Point cloud denoising is a fundamental problem, aiming to recover clean point sets while preserving …

TimeGazer: Temporal Modeling of Predictive Gaze Stabilization for AR Interaction
Yaozheng Xia, Zaiping Zhu, Bo Pang, Shaorong Wang, Sheng Li
https://arxiv.org/abs/2510.01561 htt…

TimeGazer: Temporal Modeling of Predictive Gaze Stabilization for AR Interaction
Gaze stabilization is critical for enabling fluid, accurate, and efficient interaction in immersive augmented reality (AR) environments, particularly during task-oriented visual behaviors. However, fixation sequences captured in active gaze tasks often exhibit irregular dispersion and systematic deviations from target locations, a variability primarily caused by the combined effects of human oculomotor physiology, insufficient AR headset tracking and calibration accuracy, and environmental dist…

Merging Bodies, Dividing Conflict: Body-Swapping in Mixed Reality Increases Closeness Yet Weakens the Joint Simon Effect
Yuan He, Brendan Rooney, Rachel McDonnell
https://arxiv.org/abs/2509.09815

Merging Bodies, Dividing Conflict: Body-Swapping in Mixed Reality Increases Closeness Yet Weakens the Joint Simon Effect
Mixed Reality (MR) presents novel opportunities to investigate how individuals perceive themselves and others during shared, augmented experiences within a common physical environment. Previous research has demonstrated that users can embody avatars in MR, temporarily extending their sense of self. However, there has been limited exploration of body-swapping, a condition in which two individuals simultaneously inhabit each other's avatars, and its potential effects on social interaction in imme…

Impact of Target and Tool Visualization on Depth Perception and Usability in Optical See-Through AR
Yue Yang, Xue Xie, Xinkai Wang, Hui Zhang, Chiming Yu, Xiaoxian Xiong, Lifeng Zhu, Yuanyi Zheng, Jue Cen, Bruce Daniel, Fred Baik
https://arxiv.org/abs/2508.18481

Impact of Target and Tool Visualization on Depth Perception and Usability in Optical See-Through AR
Optical see-through augmented reality (OST-AR) systems like Microsoft HoloLens 2 hold promise for arm's distance guidance (e.g., surgery), but depth perception of the hologram and occlusion of real instruments remain challenging. We present an evaluation of how visualizing the target object with different transparencies and visualizing a tracked tool (virtual proxy vs. real tool vs. no tool tracking) affects depth perception and system usability. Ten participants performed two experiments on Ho…

SonoCraftAR: Towards Supporting Personalized Authoring of Sound-Reactive AR Interfaces by Deaf and Hard of Hearing Users
Jaewook Lee, Davin Win Kyi, Leejun Kim, Jenny Peng, Gagyeom Lim, Jeremy Zhengqi Huang, Dhruv Jain, Jon E. Froehlich
https://arxiv.org/abs/2508.17597

SonoCraftAR: Towards Supporting Personalized Authoring of Sound-Reactive AR Interfaces by Deaf and Hard of Hearing Users
Augmented reality (AR) has shown promise for supporting Deaf and hard-of-hearing (DHH) individuals by captioning speech and visualizing environmental sounds, yet existing systems do not allow users to create personalized sound visualizations. We present SonoCraftAR, a proof-of-concept prototype that empowers DHH users to author custom sound-reactive AR interfaces using typed natural language input. SonoCraftAR integrates real-time audio signal processing with a multi-agent LLM pipeline that pro…

Chameleon: A Surface-Anchored Smartphone AR Prototype with Visually Blended Mobile Display
Seungwon Yang, Suwon Yoon, Jeongwon Choi, Inseok Hwang
https://arxiv.org/abs/2509.14643

Chameleon: A Surface-Anchored Smartphone AR Prototype with Visually Blended Mobile Display
Augmented reality (AR) is often realized through head-mounted displays, offering immersive but egocentric experiences. While smartphone-based AR is more accessible, it remains limited to handheld, single-user interaction. We introduce Chameleon, a prototype AR system that transforms smartphones into surface-anchored displays for co-located use. When placed flat, the phone creates a transparency illusion and anchors digital content visible to multiple users. Chameleon supports natural reposition…

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…

See What I Mean? Mobile Eye-Perspective Rendering for Optical See-through Head-mounted Displays
Gerlinde Emsenhuber, Tobias Langlotz, Denis Kalkofen, Markus Tatzgern
https://arxiv.org/abs/2509.11653

See What I Mean? Mobile Eye-Perspective Rendering for Optical See-through Head-mounted Displays
Image-based scene understanding allows Augmented Reality systems to provide contextual visual guidance in unprepared, real-world environments. While effective on video see-through (VST) head-mounted displays (HMDs), such methods suffer on optical see-through (OST) HMDs due to misregistration between the world-facing camera and the user's eye perspective. To approximate the user's true eye view, we implement and evaluate three software-based eye-perspective rendering (EPR) techniques on a commer…