Computer Animation and Virtual Worlds最新文献

Path Modeling of Visual Attention, User Perceptions, and Behavior Change Intentions in Conversations With Embodied Agents in VR 虚拟现实中与具身代理对话中视觉注意、用户感知和行为改变意图的路径建模

IF 0.9 4区计算机科学

Computer Animation and Virtual Worlds Pub Date : 2025-06-21 DOI: 10.1002/cav.70028

Sagar A. Vankit, Vivian Genaro Motti, Tiffany D. Do, Samaneh Zamanifard, Deyrel Diaz, Andrew T. Duchowski, Bart P. Knijnenburg, Matias Volonte

{"title":"Path Modeling of Visual Attention, User Perceptions, and Behavior Change Intentions in Conversations With Embodied Agents in VR","authors":"Sagar A. Vankit, Vivian Genaro Motti, Tiffany D. Do, Samaneh Zamanifard, Deyrel Diaz, Andrew T. Duchowski, Bart P. Knijnenburg, Matias Volonte","doi":"10.1002/cav.70028","DOIUrl":"https://doi.org/10.1002/cav.70028","url":null,"abstract":"<p>This study examines how subtitles and image visualizations influence gaze behavior, working alliance, and behavior change intentions in virtual health conversations with ECAs. Visualizations refer to images on a 3D model TV and text on a virtual whiteboard, both reinforcing key content conveyed by the ECA. Using a 2 <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mo>×</mo>\u0000 </mrow>\u0000 <annotation>$$ times $$</annotation>\u0000 </semantics></math> 2 factorial design, participants were randomly assigned to one of four conditions: no subtitles or visualizations (Control), subtitles only (SUB), visualizations only (VIS), or both subtitles and visualizations (VISSUB). Structural equation path modeling showed that SUB and VIS individually reduced gaze toward the ECA, whereas VISSUB moderated this reduction, resulting in less gaze loss than the sum of either condition alone. Gaze behavior was positively associated with working alliance, and perceptions of enjoyment and appropriateness influenced engagement, which in turn predicted behavior change intentions. VIS was negatively associated with behavior change intentions, suggesting that excessive visual input may introduce cognitive trade-offs.</p>","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"36 3","pages":""},"PeriodicalIF":0.9,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cav.70028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the Impact of Multimodal Long Conversations in VR on Attitudes Toward Behavior Change, Memory Retention, and Cognitive Load 探索虚拟现实中多模态长对话对行为改变、记忆保持和认知负荷态度的影响

IF 0.9 4区计算机科学

Computer Animation and Virtual Worlds Pub Date : 2025-06-19 DOI: 10.1002/cav.70023

Sagar A. Vankit, Samaneh Zamanifard, Deyrel Diaz, Christos Mousas, Kelly Richardson, Andrew T. Duchowski, Matias Volonte

引用次数: 0

AU-Guided Feature Aggregation for Micro-Expression Recognition 基于au的特征聚合微表情识别

IF 0.9 4区计算机科学

Computer Animation and Virtual Worlds Pub Date : 2025-06-17 DOI: 10.1002/cav.70041

Xiaohui Tan, Weiqi Xu, Jiazheng Wu, Hao Geng, Qichuan Geng

{"title":"AU-Guided Feature Aggregation for Micro-Expression Recognition","authors":"Xiaohui Tan, Weiqi Xu, Jiazheng Wu, Hao Geng, Qichuan Geng","doi":"10.1002/cav.70041","DOIUrl":"https://doi.org/10.1002/cav.70041","url":null,"abstract":"<div>\u0000 \u0000 <p>Micro-expressions (MEs) are spontaneous and transient facial movements that reflect real internal emotions and have been widely applied in various fields. Recent deep learning-based methods have been rapidly developing in micro-expression recognition (MER).Still, it is typical to focus on the one-sided nature of MEs, covering only representational features or low-ranking Action Unit (AU) features. The subtle changes in MEs characterize its feature representation weak and inconspicuous, making it tough to analyze MEs only from a single piece or a small amount of information to achieve a considerable recognition effect. In addition, the lower-order information can only distinguish MEs from a single low-dimensional perspective and neglects the potential of corresponding MEs and AU combinations to each other. To address these issues, we first explore how the higher-order relations of different AU combinations correspond with MEs through statistical analysis. Afterward, based on this attribute, we propose an end-to-end multi-stream model that integrates global feature learning and local muscle movement representation guided by AU semantic information. The comparative experiments were performed on benchmark datasets, with better performance than the state-of-art methods. Also, the ablation experiments demonstrate the necessity of our model to introduce the information of AU and its relationship to MER.</p>\u0000 </div>","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"36 3","pages":""},"PeriodicalIF":0.9,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144300302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on the Application of Immersive Virtual Reality Intervention Model (IVRT) in the Context of Computer Anxiety Among the Older Adults 沉浸式虚拟现实干预模型（IVRT）在老年人计算机焦虑情境中的应用研究

IF 0.9 4区计算机科学

Computer Animation and Virtual Worlds Pub Date : 2025-06-12 DOI: 10.1002/cav.70059

Bo Zhang, HuiPing Shi, MengJiao Gu

{"title":"Research on the Application of Immersive Virtual Reality Intervention Model (IVRT) in the Context of Computer Anxiety Among the Older Adults","authors":"Bo Zhang, HuiPing Shi, MengJiao Gu","doi":"10.1002/cav.70059","DOIUrl":"https://doi.org/10.1002/cav.70059","url":null,"abstract":"<div>\u0000 \u0000 <p>Elderly Computer Anxiety (ECA) often arises when older adults use digital tools, as it is a psychological condition influenced by both cognitive and functional impairments. Despite the widespread application of immersive virtual reality (IVR) technologies in enhancing cognitive abilities, their potential for addressing ECA remains underexplored. This study proposes an Immersive Virtual Reality Training (IVRT) model grounded in user experience(UX) design to comprehensively alleviate computer anxiety among older adults. The model integrates four interconnected modules: experience, training, socialization, and interaction. Each module is tailored to older adults, leveraging UX principles to enhance usability, foster engagement, and facilitate practical application through immersive VR. This paper conducted a randomized controlled trial involving 80 elderly individuals aged 65 to 85 to validate its effectiveness. Results showed significant reductions in anxiety levels within the IVRT group: Technophobia Scale (TS) scores decreased by an average of 0.49 points, and Gerontological Computer Anxiety Scale (GCAS) scores decreased by an average of 52.68 points, representing a 12.7% reduction (<i>p</i> < 0.05). These findings demonstrate that the IVRT model is significantly effective in reducing computer anxiety. It provides a solid foundation for developing immersive intervention measures tailored to older adults, better supporting their adaptation to the digital age.</p>\u0000 </div>","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"36 3","pages":""},"PeriodicalIF":0.9,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144264662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards Extended Reality in Emergency Response: Guidelines and Challenges for First Responder Friendly Augmented Interfaces 走向扩展现实的应急响应：指导方针和挑战的第一响应者友好的增强界面

IF 0.9 4区计算机科学

Computer Animation and Virtual Worlds Pub Date : 2025-06-11 DOI: 10.1002/cav.70056

Fatih Oztank, Selim Balcisoy

{"title":"Towards Extended Reality in Emergency Response: Guidelines and Challenges for First Responder Friendly Augmented Interfaces","authors":"Fatih Oztank, Selim Balcisoy","doi":"10.1002/cav.70056","DOIUrl":"https://doi.org/10.1002/cav.70056","url":null,"abstract":"<div>\u0000 \u0000 <p>As Extended Reality (XR) technologies continue gaining popularity, various domains seek to integrate them into their workflows to enhance performance and user satisfaction. However, integrating XR technologies into emergency response presents unique challenges. Unlike other fields, such as healthcare, entertainment, or education, emergency response involves physically demanding environments and information-intensive tasks that first responders (FRs) must perform. Augmented reality (AR) head-mounted displays (HMDs) present promising solutions for improving situational awareness and reducing the cognitive load of the FRs. However, limited research has focused on the specific needs of FRs. Moreover, existing studies investigating FR needs have primarily been conducted in controlled laboratory settings, revealing a significant gap in the literature concerning FR requirements in real-life scenarios. This work addresses this gap through a comprehensive user study with subject matter experts (SMEs) and FRs. User studies were conducted after two different real-life scenarios using AR HMDs. To further understand FR needs, we extensively reviewed the literature for similar studies that reported FR needs, explicitly focusing on studies including interviews with SMEs and FRs. Our findings identified key design guidelines for FR-friendly AR interfaces while also highlighting the direction for future research to improve the user experience of the FRs.</p>\u0000 </div>","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"36 3","pages":""},"PeriodicalIF":0.9,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144256281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Improved Social Force Model-Driven Multi-Agent Generative Adversarial Imitation Learning Framework for Pedestrian Trajectory Prediction 一种改进的社会力模型驱动的多智能体生成对抗模仿学习框架用于行人轨迹预测

IF 0.9 4区计算机科学

Computer Animation and Virtual Worlds Pub Date : 2025-06-09 DOI: 10.1002/cav.70058

Wen Zhou, Wangyu Shen, Xinyi Meng

{"title":"An Improved Social Force Model-Driven Multi-Agent Generative Adversarial Imitation Learning Framework for Pedestrian Trajectory Prediction","authors":"Wen Zhou, Wangyu Shen, Xinyi Meng","doi":"10.1002/cav.70058","DOIUrl":"https://doi.org/10.1002/cav.70058","url":null,"abstract":"<div>\u0000 \u0000 <p>Recently, crowd trajectory prediction has attracted increasing attention. In particular, the simulation of pedestrian movement in scenarios such as crowd evacuation has gained increasing focus. The social force model is a promising and effective method for predicting the stochastic movement of pedestrians. However, individual heterogeneity, group-driven cooperation, and poor self-adaptive environmental interactive capabilities have not been comprehensively considered. This often makes it difficult to reproduce real scenarios. Therefore, a group-enabled social force model-driven multi-agent generative adversarial imitation learning framework, namely, SFMAGAIL, is proposed. Specifically, (1) a group-enabled individual heterogeneity schema is utilized to obtain related expert trajectories, which are fully incorporated into the desire force and group-enabled paradigms; (2) A joint policy is used to exploit the connection between the agents and the environment; and (3) To explore the intrinsic features of expert trajectories, an actor–critic-based multi-agent adversarial imitation learning framework is presented to generate effective trajectories. Finally, extensive experiments based on 2D and 3D virtual scenarios are conducted to validate our method. The results show that our proposed method is superior to the compared methods.</p>\u0000 </div>","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"36 3","pages":""},"PeriodicalIF":0.9,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144244319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimized Multiuser Panoramic Video Transmission in VR: A Machine Learning-Driven Approach VR中优化的多用户全景视频传输：一种机器学习驱动的方法

IF 0.9 4区计算机科学

Computer Animation and Virtual Worlds Pub Date : 2025-06-07 DOI: 10.1002/cav.70060

Wei Xun, Songlin Zhang

引用次数: 0

CLPFusion: A Latent Diffusion Model Framework for Realistic Chinese Landscape Painting Style Transfer CLPFusion：中国写实山水画风格转移的潜在扩散模型框架

IF 0.9 4区计算机科学

Computer Animation and Virtual Worlds Pub Date : 2025-06-07 DOI: 10.1002/cav.70053

Jiahui Pan, Frederick W. B. Li, Bailin Yang, Fangzhe Nan

{"title":"CLPFusion: A Latent Diffusion Model Framework for Realistic Chinese Landscape Painting Style Transfer","authors":"Jiahui Pan, Frederick W. B. Li, Bailin Yang, Fangzhe Nan","doi":"10.1002/cav.70053","DOIUrl":"https://doi.org/10.1002/cav.70053","url":null,"abstract":"<div>\u0000 \u0000 <p>This study focuses on transforming real-world scenery into Chinese landscape painting masterpieces through style transfer. Traditional methods using convolutional neural networks (CNNs) and generative adversarial networks (GANs) often yield inconsistent patterns and artifacts. The rise of diffusion models (DMs) presents new opportunities for realistic image generation, but their inherent noise characteristics make it challenging to synthesize pure white or black images. Consequently, existing DM-based methods struggle to capture the unique style and color information of Chinese landscape paintings. To overcome these limitations, we propose CLPFusion, a novel framework that leverages pre-trained diffusion models for artistic style transfer. A key innovation is the Bidirectional State Space Models-CrossAttention (BiSSM-CA) module, which efficiently learns and retains the distinct styles of Chinese landscape paintings. Additionally, we introduce two latent space feature adjustment methods, Latent-AdaIN and Latent-WCT, to enhance style modulation during inference. Experiments demonstrate that CLPFusion produces more realistic and artistic Chinese landscape paintings than existing approaches, showcasing its effectiveness and uniqueness in the field.</p>\u0000 </div>","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"36 3","pages":""},"PeriodicalIF":0.9,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144232481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Folding by Skinning 剥皮折叠

IF 0.9 4区计算机科学

Computer Animation and Virtual Worlds Pub Date : 2025-06-05 DOI: 10.1002/cav.70055

Chunyang Ma, Lifeng Zhu

引用次数: 0

BACH: Bi-Stage Data-Driven Piano Performance Animation for Controllable Hand Motion 巴赫：双阶段数据驱动的钢琴表演动画可控的手运动

IF 0.9 4区计算机科学

Computer Animation and Virtual Worlds Pub Date : 2025-06-04 DOI: 10.1002/cav.70044

Jihui Jiao, Rui Zeng, Ju Dai, Junjun Pan

引用次数: 0