IEEE transactions on visualization and computer graphics最新文献_第4页

Proprioceptive and Gaze Adaptations to Virtual Leg Length Asymmetry. 虚拟腿长不对称的本体感觉和凝视适应。

IF 6.5

IEEE transactions on visualization and computer graphics Pub Date : 2026-09-21 DOI: 10.1109/TVCG.2026.3736235

Valentin Vallageas, Rachid Aissaoui, Iris Willaert, David R Labbe

{"title":"Proprioceptive and Gaze Adaptations to Virtual Leg Length Asymmetry.","authors":"Valentin Vallageas, Rachid Aissaoui, Iris Willaert, David R Labbe","doi":"10.1109/TVCG.2026.3736235","DOIUrl":"10.1109/TVCG.2026.3736235","url":null,"abstract":"Proprioception is the sense of perceiving and predicting body position and movement in space. Together with vision and touch, it plays a central role in shaping the body image. Virtual reality allows users to embody self-avatars with altered morphologies, thereby modifying the body representation. This study investigated how embodying an avatar with a leg twice its original length affects proprioception, embodiment, and visual scanning measured through state and transition gaze entropy. Congruent and incongruent visuotactile stimuli were used to induce high and low levels of embodiment. Across 26 participants, embodiment was preserved despite the deformation, regardless of whether the dominant or non-dominant leg was altered. A proprioceptive drift corresponding to 78% of the virtual leg length was observed, independent of visuotactile congruence. While leg deformation alone did not affect gaze entropy, incongruent visuotactile stimuli reduced embodiment and increased both state and transition gaze entropy, reflecting increased top-down modulation of gaze control. These findings show that deformations of the virtual lower limbs can be integrated into the body image without perturbing sensory integration, providing insights for developing rehabilitation strategies targeting proprioceptive deficits.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"PP ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149043012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Smartwatch Moves: The Impact of Walking Speed and Trajectories on Micro Visualizations Reading on a Smartwatch. 智能手表移动：行走速度和轨迹对智能手表微视觉阅读的影响。

IF 6.5

IEEE transactions on visualization and computer graphics Pub Date : 2026-09-18 DOI: 10.1109/TVCG.2026.3735571

Fairouz Grioui, Lijie Yao, Petra Isenberg, Tanja Blascheck

{"title":"A Smartwatch Moves: The Impact of Walking Speed and Trajectories on Micro Visualizations Reading on a Smartwatch.","authors":"Fairouz Grioui, Lijie Yao, Petra Isenberg, Tanja Blascheck","doi":"10.1109/TVCG.2026.3735571","DOIUrl":"10.1109/TVCG.2026.3735571","url":null,"abstract":"We describe the impact of smartwatch wearers' motion on how effectively wearers can read micro visualizations, how challenging the task feels, and how these effects relate to smartwatch orientation. Visual information on smartwatches is often consumed in dynamic contexts that involve motion such as walking or running. Motion can introduce perceptual challenges due to the way people position their smartwatch, increasing the general task load, but these effects have not been systematically studied. Therefore, we measured smartwatch viewing postures and performance data while reading visualizations in two studies. These studies examined different walking trajectories and speeds with stationary baseline conditions. Our results show that walking and trajectory type altered smartwatch positioning and wrist orientation, with faster speeds increasing these effects. Walking, particularly at higher speeds, also reduced reading accuracy and sometimes increased response times, while participants also slowed their pace when reading micro visualizations. Based on these findings, we propose design considerations including additional visual cues and visualization size adaptations for different viewing postures to support glanceable micro visualizations in motion.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"PP ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149003207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Chladni-Inspired Aesthetic Patterns: A Flexible Parametric Model from Thin-Plate Vibrations. 克拉尼启发的美学模式：薄板振动的柔性参数模型。

IF 6.5

IEEE transactions on visualization and computer graphics Pub Date : 2026-09-18 DOI: 10.1109/TVCG.2026.3735451

Qianlaier Bao, Yingpeng Li, Yao Jin, Huaxiong Zhang, Lili He, Chao Song

{"title":"Chladni-Inspired Aesthetic Patterns: A Flexible Parametric Model from Thin-Plate Vibrations.","authors":"Qianlaier Bao, Yingpeng Li, Yao Jin, Huaxiong Zhang, Lili He, Chao Song","doi":"10.1109/TVCG.2026.3735451","DOIUrl":"10.1109/TVCG.2026.3735451","url":null,"abstract":"We introduce a physics-based parametric generative model for a class of wave-like, organic aesthetic patterns that streamlines the conventional two-stage design workflow. Unlike conventional approaches that rely on separate texture design and manual invariant mappings for seamless tiling, our method simultaneously derives texture and layout from the explicit solution of the thin-plate vibration equation. By encoding symmetry and tiling constraints directly as boundary conditions, the model inherently guarantees seamless, symmetric patterns without ad-hoc mapping functions. Within this framework, artists can intuitively control style and structure through a compact set of visually interpretable parameters, enabling efficient generation of diverse periodic and aperiodic tilings. Extensive experiments validate the method's efficiency, structural coherence, and stylistic richness, demonstrating clear advantages over conventional approaches in both visual diversity and structural integrity. This work offers a novel, interpretable, and efficient approach to controllable digital art creation.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"PP ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149043000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the Use and Evaluation of Glyphs in Visual Analytics Applications. 探索字形在视觉分析应用程序中的使用和评估。

IF 6.5

IEEE transactions on visualization and computer graphics Pub Date : 2026-09-18 DOI: 10.1109/TVCG.2026.3734118

Shiyi Liu, Jiayi Hong, Ross Maciejewski

{"title":"Exploring the Use and Evaluation of Glyphs in Visual Analytics Applications.","authors":"Shiyi Liu, Jiayi Hong, Ross Maciejewski","doi":"10.1109/TVCG.2026.3734118","DOIUrl":"10.1109/TVCG.2026.3734118","url":null,"abstract":"Glyph-based visualizations are widely used in visual analytics (VA) systems, where data glyphs act as data-driven visual entities that use multiple visual channels to encode multivariate data attributes. In modern VA systems, many glyphs are no longer based on a single design form, such as a single circular or radial design. We refer to those designs as composite glyphs, where a glyph is divided into multiple parts and each part uses a different visual design to encode a subset of the data. While prior work has studied glyph design principles and visual encodings, less is known about how glyphs are designed and evaluated in application-driven VA systems. In this paper, we present a systematic review of glyph-based visualizations in VA systems over the past decade. We analyze 69 papers published between 2015 and 2024 in major visualization and HCI venues, including IEEE VIS, IEEE TVCG, EuroVis, and CHI, covering 86 distinct glyph designs across diverse application domains. We analyze these glyphs along two aspects. The first is the design space, including glyph design types, combination patterns, chart contexts, supported tasks, and application scenarios. The second is verification and evaluation, including the use of design alternatives, case studies, and expert interviews or user studies. Our analysis reveals recurring patterns in how glyphs are constructed, combined, and evaluated in practice. Based on these observations, we identify five gaps in current practice and outline corresponding directions for future research.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"PP ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149042933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

BiGS: Bi-Anchor Gaussian Splatting for Dynamic Video Photorealistic Reconstruction. BiGS：双锚高斯飞溅动态视频逼真重建。

IF 6.5

IEEE transactions on visualization and computer graphics Pub Date : 2026-09-17 DOI: 10.1109/TVCG.2026.3734761

Lizhi Bai, Chunqi Tian, Jun Yang, Siyu Zhang, Yanjun Xu

{"title":"BiGS: Bi-Anchor Gaussian Splatting for Dynamic Video Photorealistic Reconstruction.","authors":"Lizhi Bai, Chunqi Tian, Jun Yang, Siyu Zhang, Yanjun Xu","doi":"10.1109/TVCG.2026.3734761","DOIUrl":"10.1109/TVCG.2026.3734761","url":null,"abstract":"Reconstructing photorealistic dynamic scenes from videos remains a challenging problem due to complex object motions, occlusions, and limited observations. Recent advances in dynamic Gaussian splatting either rely on deformation fields, which are compact but often fail under irregular motion, or per-frame trajectory optimization, which captures motion explicitly but incurs high redundancy. In this work, we introduce Bi-Anchor Gaussian Splatting (BiGS), a novel anchor-conditioned framework that combines the advantages of both paradigms. We separate the scene into static and dynamic Gaussians, where static Gaussians are shared across the sequence and dynamic Gaussians are explicitly optimized at sparse anchor frames. For non-anchor frames, we propose a bi-anchor motion field that predicts Gaussian transformations conditioned on two neighboring anchors, ensuring locally coherent and flexible dynamic modeling. To resolve inconsistencies between anchor proposals, we further design an opacity-gated fusion module that adaptively regulates per-Gaussian contributions. In addition, a priority-driven densification strategy introduces new Gaussians in regions with high photometric error, strong gradients, or insufficient observations, significantly improving detail reconstruction. We evaluate BiGS on DyCheck, Nvidia-long, and Neu3D datasets, and achieve competitive or superior reconstruction quality across PSNR, SSIM, and LPIPS compared with state-of-the-art NeRF- and Gaussian-based dynamic reconstruction methods.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"PP ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148993218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Path-Tracing-Based Event Camera Simulation via Event-Adaptive Time Refinement. 基于路径跟踪的事件相机仿真方法。

IF 6.5

IEEE transactions on visualization and computer graphics Pub Date : 2026-09-17 DOI: 10.1109/TVCG.2026.3726999

Yuichiro Manabe, Tatsuya Yatagawa, Shigeo Morishima, Hiroyuki Kubo

{"title":"Path-Tracing-Based Event Camera Simulation via Event-Adaptive Time Refinement.","authors":"Yuichiro Manabe, Tatsuya Yatagawa, Shigeo Morishima, Hiroyuki Kubo","doi":"10.1109/TVCG.2026.3726999","DOIUrl":"10.1109/TVCG.2026.3726999","url":null,"abstract":"Event cameras asynchronously detect brightness changes as events rather than capturing full image frames, making them attractive for a wide range of applications. This has created a growing demand for simulation methods that generate realistic event streams directly from 3D scenes. However, accurate simulation remains challenging because existing approaches often rely on image-frame inputs, and physically based rendering for such inputs is often delegated to external path tracers. Unfortunately, such external rendering engines are black boxes with limited opportunities for event-specific optimization. In addition, conventional path tracing uses fixed-interval temporal sampling over the entire scene, so brightness changes can only be detected at globally synchronized discrete time points. To address these limitations, we propose a path-tracing-based method for high-temporal-resolution event camera simulation from 3D computer graphics scenes. Our method combines path tracing with the bisection method for precise event timing estimation and leverages statistical hypothesis testing to speed up the event search process. We implement the method using hardware-accelerated path tracing, exploiting motion-blur-based time interpolation and stream compaction for efficient rendering. Our results show that substantial acceleration is achieved when statistical search pruning and stream compaction are used together, providing a practical framework for high-fidelity simulation of event streams.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"PP ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149042978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FCDNet: A Unified Deformation Network for Non-Rigid 3D Human Shape Correspondence via Feature Consistency. FCDNet：基于特征一致性的非刚性三维人体形状对应的统一变形网络。

IF 6.5

IEEE transactions on visualization and computer graphics Pub Date : 2026-09-16 DOI: 10.1109/TVCG.2026.3734521

Liping Zhang, Weijun Li, Xiaoli Dong, Hong Qin, Xin Ning, Catarina Moreira, Joaquim Jorge

{"title":"FCDNet: A Unified Deformation Network for Non-Rigid 3D Human Shape Correspondence via Feature Consistency.","authors":"Liping Zhang, Weijun Li, Xiaoli Dong, Hong Qin, Xin Ning, Catarina Moreira, Joaquim Jorge","doi":"10.1109/TVCG.2026.3734521","DOIUrl":"10.1109/TVCG.2026.3734521","url":null,"abstract":"3D shape correspondence is a fundamental task in computer vision, yet it remains difficult for articulated human bodies due to complex non-rigid deformations. In particular, existing methods often struggle to maintain robustness when inputs are limited to single-view partial scans with severe occlusions. To address the challenge of establishing consistent point cloud correspondence across both complete and single-view human body shapes, we propose a unified Deformation Network via Feature Consistency Learning (FCDNet). FCDNet learns deformations from a predefined template to the target shape. Its Space Cover Convolution (SC-Conv) encoder captures robust local geometric structures of point cloud by constructing anisotropic geometries in neighborhoods. Crucially, FCDNet employs feature consistency learning during joint training on both complete and partial (single-view) shapes, enabling the encoder to learn representations invariant to shape incompleteness. With encoded global features, the subsequent decoder is further supervised using complete shapes as ground truth, ensuring accurate template deformation even for single-view inputs. Extensive experiments on the FAUST and SHREC'19 datasets demonstrate that FCDNet outperforms state-of-the-art methods, achieving average correspondence errors of 2.54 cm and 1.8 cm, respectively. FCDNet also performs effectively on single-view data and unclean point clouds captured by depth cameras.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"PP ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148984412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Voxel Grid-Based Depth Recovery From Monocular Structured Light. 基于体素网格的单目结构光深度恢复。

IF 6.5

IEEE transactions on visualization and computer graphics Pub Date : 2026-09-16 DOI: 10.1109/TVCG.2026.3734755

Zhuohang Yu, Kai Wang, Juyong Zhang

{"title":"Voxel Grid-Based Depth Recovery From Monocular Structured Light.","authors":"Zhuohang Yu, Kai Wang, Juyong Zhang","doi":"10.1109/TVCG.2026.3734755","DOIUrl":"10.1109/TVCG.2026.3734755","url":null,"abstract":"We introduce an approach for depth estimation from images captured by monocular structured light systems, building upon the matching-free differentiable rendering paradigm with a key architectural contribution: replacing the implicit signed distance function (SDF) geometry representation with an explicit density voxel grid. Unlike methods that rely on image matching, our technique leverages the known pattern projection and camera setup to guide geometry optimization through differentiable volume rendering, without any explicit correspondence search. We isolate and optimize the geometry field by treating projected patterns as a known color field during rendering, thereby enabling faster convergence and higher-quality results. We further introduce a set of complementary losses-a patch-based SSIM loss, a distortion loss for unimodal density, and a surface-aware color loss-that are specifically designed for the voxel grid representation in monocular structured light settings. Experiments show that our method outperforms matching-based techniques in few-shot scenarios, reducing average depth error by over 30% on both synthetic and real-world scenes. Compared to prior matching-free methods using SDFs, our voxel grid-based framework avoids smoothness-induced artifacts at sharp edges, captures fine geometric discontinuities more faithfully, and trains nearly seven times faster. We provide a systematic analysis of the trade-offs between explicit voxel grids and implicit SDFs, clarifying why the explicit representation is better suited to monocular structured light depth recovery.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"PP ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149042947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Depth-Adaptive Injection for Stylized Text-to-Motion. 用于程式化文本到动作的深度自适应注入。

IF 6.5

IEEE transactions on visualization and computer graphics Pub Date : 2026-09-16 DOI: 10.1109/TVCG.2026.3734489

Shuaiying Hou, Hongyu Tao, Junjie Gao, Junheng Fang, Rong Zhang, Yongcong Zhang, Shiqi Zhou, Weiwei Xu

{"title":"Depth-Adaptive Injection for Stylized Text-to-Motion.","authors":"Shuaiying Hou, Hongyu Tao, Junjie Gao, Junheng Fang, Rong Zhang, Yongcong Zhang, Shiqi Zhou, Weiwei Xu","doi":"10.1109/TVCG.2026.3734489","DOIUrl":"10.1109/TVCG.2026.3734489","url":null,"abstract":"Discrete text-to-motion generation models are powerful tools for synthesizing diverse human motions, yet endowing them with controllable, high-fidelity stylistic variations remains challenging. Direct retraining or fine-tuning these models often disrupts the fragile discrete token distributions learned by masked generative models, leading to optimization instability, style-content entanglement, and degraded motion quality or text alignment. To address these limitations, we propose the Modular Injection Framework (MIF), a framework for conditional adaptation of masked discrete text-to-motion models. For optimization stability, MIF employs a continuous residual injection mechanism to fuse conditioning signals within the hidden states of the pretrained backbone. Crucially, through systematic ablation, we uncover a depth-aware structural behavior: assigning injection to different transformer layers with depth-adaptive weights introduces a beneficial architectural bias. This design effectively aids to strike better trade-offs between style representation and motion quality, allowing the network to modulate high-frequency stylistic details while preserving low-frequency semantic content. Furthermore, to explore the generality of MIF, we adopt a distribution-aware adaptation strategy to extend MIF to novel motion adaptation and cross-modal music-conditioned dance synthesis. Based on target-domain reconstruction and codebook utilization statistics, the strategy determines which pretrained components remain fixed and which are trainable. Extensive experiments demonstrate our method's superior stylized motion quality and robust cross-domain adaptability. Notably, our method also supports temporal and cross-task composition.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"PP ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148984406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Neurophysiology of Cybersickness: A Systematic Review of Neuromarkers, Neurostimulation, and Reporting Practices in Virtual Reality. 晕屏病的神经生理学：对虚拟现实中神经标记物、神经刺激和报告实践的系统回顾。

IF 6.5

IEEE transactions on visualization and computer graphics Pub Date : 2026-09-15 DOI: 10.1109/TVCG.2026.3734375

Gael Van der Lee, Francois Cabestaing, Hakim Si-Mohammed

{"title":"The Neurophysiology of Cybersickness: A Systematic Review of Neuromarkers, Neurostimulation, and Reporting Practices in Virtual Reality.","authors":"Gael Van der Lee, Francois Cabestaing, Hakim Si-Mohammed","doi":"10.1109/TVCG.2026.3734375","DOIUrl":"10.1109/TVCG.2026.3734375","url":null,"abstract":"Visually induced motion sickness (VIMS) is a prevalent adverse response to virtual reality (VR) exposure, and its assessment has relied primarily on retrospective subjective questionnaires that cannot support continuous monitoring or real-time detection. This PRISMA-guided systematic review synthesizes 92 studies on the neurophysiology of VIMS in VR, retrieved from PubMed, Web of Science, and Scopus through March 2025, spanning electroencephalography, functional near-infrared spectroscopy, and non-invasive neurostimulation. The EEG literature converges on increased low-frequency (delta and theta) power as the most consistent spectral correlate of VIMS. Alpha-band findings have been inconsistent across prior work; meta-analytic comparison of hardware platforms reported here attributes a substantial portion of that inconsistency to VR display type, with head-mounted-display and screen-based studies differing systematically in the direction of alpha and beta responses. Beyond spectral power, the corpus documents event-related potential evidence of attentional and inhibitory-control costs, fNIRS hemodynamic correlates, resting-state EEG predictors of individual susceptibility, and early closed-loop mitigation systems driven by neurophysiological detection. A systematic examination of the classification and prediction literature reveals recurrent reporting gaps (undisclosed decision thresholds, absent discriminative metrics, and validation schemes that place the same participant's data in both training and test sets) that limit the interpretability of headline performance figures. Together with hardware-related heterogeneity, baseline-selection variability, and terminological inconsistency, these gaps constrain cross-study synthesis. The causal status of observed neural associations, cross-subject generalization of detection models, and the neurodynamics of adaptation and recovery remain open empirical questions.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"PP ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149042981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0