The color change of plant fruit in ripening is a typical time-varying phenomenon involving various factors. Due to its complexity and biodiversity, it is challenging to model this phenomenon. To address this issue, we take the tomato as an example and propose a botanical-based framework considering variety, environment, phytohormone, and genes to simulate fruit color change during the ripening process. Specifically, we propose a first-order kinetic model that integrates varietal, environmental, and phytohormonal factors to represent the variation of pigment concentrations in the pericarp. Moreover, we introduce a logistic model to describe the change in pigment concentration in the epidermis. Based on the gene expression pathway of tomato color in botany, we propose a genotype-to-phenotype simulation method to represent its biodiversity. An improved method is proposed to convert pigment concentrations into color accurately. Furthermore, we propose a gradient descent-based method to assist the user in quickly setting pigment concentration parameters. Experiments verified that the proposed framework can simulate a wide range of tomato colors. Both qualitative and quantitative experiments validated the proposed method. Furthermore, our framework can be applied to more fruits.
{"title":"Botanical-based simulation of color change in fruit ripening: Taking tomato as an example","authors":"Yixin Xu, Shiguang Liu","doi":"10.1002/cav.2225","DOIUrl":"10.1002/cav.2225","url":null,"abstract":"<p>The color change of plant fruit in ripening is a typical time-varying phenomenon involving various factors. Due to its complexity and biodiversity, it is challenging to model this phenomenon. To address this issue, we take the tomato as an example and propose a botanical-based framework considering variety, environment, phytohormone, and genes to simulate fruit color change during the ripening process. Specifically, we propose a first-order kinetic model that integrates varietal, environmental, and phytohormonal factors to represent the variation of pigment concentrations in the pericarp. Moreover, we introduce a logistic model to describe the change in pigment concentration in the epidermis. Based on the gene expression pathway of tomato color in botany, we propose a genotype-to-phenotype simulation method to represent its biodiversity. An improved method is proposed to convert pigment concentrations into color accurately. Furthermore, we propose a gradient descent-based method to assist the user in quickly setting pigment concentration parameters. Experiments verified that the proposed framework can simulate a wide range of tomato colors. Both qualitative and quantitative experiments validated the proposed method. Furthermore, our framework can be applied to more fruits.</p>","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"35 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138503339","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}
Every year on June 8th, the globe observes World Brain Tumor Day to raise awareness and educate people about brain cancer, encompassing both noncancerous (benign) and cancerous (malignant) growths. Research in the field of brain cancer plays a vital role in supporting medical professionals. In this context, augmented reality (AR) technology has emerged as a valuable tool, enabling surgeons to visualize underlying structures and offering a cost-effective and time-efficient alternative. Our study focuses on the efficient segmentation of brain tumor classes using Magnetic Resonance Imaging (MRI) and incorporates a three-stage approach: preprocessing, segmentation, and 3D reconstruction & AR display. In the preprocessing stage, a Gaussian filter is applied to mitigate intensity heterogeneity. Segmentation and detection are achieved using active geometric contour models, complemented by morphological operations. To establish 3D brain tumor reconstruction, a genuine scene is virtually integrated using 3D Slicer software. The proposed methodology was validated using a genuine patient dataset comprising 496 MRI scans obtained from the local Bab El Oued university hospital center. The results demonstrate the effectiveness of our approach in achieving accurate 3D brain tumor reconstruction, efficient tumor extraction, and augmented reality visualization. The obtained segmentation results showcased an impressive accuracy of 98.61%, outperforming existing state-of-the-art methods and affirming the efficacy of our proposed strategy.
每年的 6 月 8 日是世界脑肿瘤日，旨在提高人们对脑癌的认识，并对人们进行脑癌教育。脑癌领域的研究在为医疗专业人员提供支持方面发挥着至关重要的作用。在此背景下，增强现实（AR）技术已成为一种有价值的工具，它使外科医生能够直观地看到底层结构，并提供了一种具有成本效益和时间效率的替代方法。我们的研究重点是利用磁共振成像（MRI）对脑肿瘤类别进行高效分割，并采用了三阶段方法：预处理、分割和三维重建以及 AR 显示。在预处理阶段，应用高斯滤波器来减轻强度异质性。利用主动几何轮廓模型，辅以形态学操作，实现分割和检测。为了建立三维脑肿瘤重建，使用 3D Slicer 软件对真实场景进行虚拟整合。所提出的方法使用了一个真实的病人数据集进行验证，该数据集包括从当地 Bab El Oued 大学医院中心获得的 496 份核磁共振扫描图像。结果表明，我们的方法在实现精确的三维脑肿瘤重建、高效的肿瘤提取和增强现实可视化方面非常有效。所获得的分割结果显示了令人印象深刻的 98.61% 的准确率，超过了现有的最先进方法，肯定了我们所提出的策略的有效性。
{"title":"A 3D visualization-based augmented reality application for brain tumor segmentation","authors":"Mohamed Amine Guerroudji, Kahina Amara, Mohamed Lichouri, Nadia Zenati, Mostefa Masmoudi","doi":"10.1002/cav.2223","DOIUrl":"10.1002/cav.2223","url":null,"abstract":"<div>\u0000 \u0000 <p>Every year on June 8th, the globe observes World Brain Tumor Day to raise awareness and educate people about brain cancer, encompassing both noncancerous (benign) and cancerous (malignant) growths. Research in the field of brain cancer plays a vital role in supporting medical professionals. In this context, augmented reality (AR) technology has emerged as a valuable tool, enabling surgeons to visualize underlying structures and offering a cost-effective and time-efficient alternative. Our study focuses on the efficient segmentation of brain tumor classes using Magnetic Resonance Imaging (MRI) and incorporates a three-stage approach: preprocessing, segmentation, and 3D reconstruction & AR display. In the preprocessing stage, a Gaussian filter is applied to mitigate intensity heterogeneity. Segmentation and detection are achieved using active geometric contour models, complemented by morphological operations. To establish 3D brain tumor reconstruction, a genuine scene is virtually integrated using 3D Slicer software. The proposed methodology was validated using a genuine patient dataset comprising 496 MRI scans obtained from the local Bab El Oued university hospital center. The results demonstrate the effectiveness of our approach in achieving accurate 3D brain tumor reconstruction, efficient tumor extraction, and augmented reality visualization. The obtained segmentation results showcased an impressive accuracy of 98.61%, outperforming existing state-of-the-art methods and affirming the efficacy of our proposed strategy.</p>\u0000 </div>","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"35 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135821484","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}
Pub Date : 2023-11-02DOI: 10.3390/virtualworlds2040021
Donovan Jones, Roberto Galvez, Darrell Evans, Michael Hazelton, Rachel Rossiter, Pauletta Irwin, Peter S. Micalos, Patricia Logan, Lorraine Rose, Shanna Fealy
The COVID-19 pandemic instigated a paradigm shift in healthcare delivery with a rapid adoption of technology-enabled models of care, particularly within the general practice primary care setting. The emergence of the Metaverse and its associated technology mediums, specifically extended reality (XR) technology, presents a promising opportunity for further industry transformation. Therefore, the objective of this study was to explore the current application and utilisation of XR technologies within the general practice primary care setting to establish a baseline for tracking its evolution and integration. A systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) was conducted and registered with the international database of prospectively registered systematic reviews as PROSPERO-CRD42022339905. Eleven articles met the inclusion criteria and were quality appraised and included for review. All databases searched, inclusive of search terms, are supplied to enhance the transparency and reproducibility of the findings. All study interventions used virtual reality technology exclusively. The application of virtual reality within the primary care setting was grouped under three domains: (1) childhood vaccinations, (2) mental health, and (3) health promotion. There is immense potential for the future application of XR technologies within the general practice primary care setting. As technology evolves, healthcare practitioners, XR technology specialists, and researchers should collaborate to harness the full potential of implementing XR mediums.
{"title":"The Integration and Application of Extended Reality (XR) Technologies within the General Practice Primary Medical Care Setting: A Systematic Review","authors":"Donovan Jones, Roberto Galvez, Darrell Evans, Michael Hazelton, Rachel Rossiter, Pauletta Irwin, Peter S. Micalos, Patricia Logan, Lorraine Rose, Shanna Fealy","doi":"10.3390/virtualworlds2040021","DOIUrl":"https://doi.org/10.3390/virtualworlds2040021","url":null,"abstract":"The COVID-19 pandemic instigated a paradigm shift in healthcare delivery with a rapid adoption of technology-enabled models of care, particularly within the general practice primary care setting. The emergence of the Metaverse and its associated technology mediums, specifically extended reality (XR) technology, presents a promising opportunity for further industry transformation. Therefore, the objective of this study was to explore the current application and utilisation of XR technologies within the general practice primary care setting to establish a baseline for tracking its evolution and integration. A systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) was conducted and registered with the international database of prospectively registered systematic reviews as PROSPERO-CRD42022339905. Eleven articles met the inclusion criteria and were quality appraised and included for review. All databases searched, inclusive of search terms, are supplied to enhance the transparency and reproducibility of the findings. All study interventions used virtual reality technology exclusively. The application of virtual reality within the primary care setting was grouped under three domains: (1) childhood vaccinations, (2) mental health, and (3) health promotion. There is immense potential for the future application of XR technologies within the general practice primary care setting. As technology evolves, healthcare practitioners, XR technology specialists, and researchers should collaborate to harness the full potential of implementing XR mediums.","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"10 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135972887","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}
Pub Date : 2023-10-30DOI: 10.3390/virtualworlds2040020
Luis Valladares Ríos, Ricardo Acosta-Diaz, Pedro C. Santana-Mancilla
This study investigates how virtual and augmented reality role games impact self-learning in higher education settings. A qualitative research–action approach that involved creating augmented reality micro-stories to encourage creativity and critical thinking was used. Through role-playing, students collaborated and gained a deeper understanding of the course, improving their self-learning abilities. The findings indicate that incorporating virtual and augmented reality into higher education positively affects self-learning, promoting active student engagement and meaningful learning experiences. Additionally, students perceive these immersive educational methods as bridging the gap between virtual and in-person learning environments, ultimately leading to enhanced educational results.
{"title":"Enhancing Self-Learning in Higher Education with Virtual and Augmented Reality Role Games: Students’ Perceptions","authors":"Luis Valladares Ríos, Ricardo Acosta-Diaz, Pedro C. Santana-Mancilla","doi":"10.3390/virtualworlds2040020","DOIUrl":"https://doi.org/10.3390/virtualworlds2040020","url":null,"abstract":"This study investigates how virtual and augmented reality role games impact self-learning in higher education settings. A qualitative research–action approach that involved creating augmented reality micro-stories to encourage creativity and critical thinking was used. Through role-playing, students collaborated and gained a deeper understanding of the course, improving their self-learning abilities. The findings indicate that incorporating virtual and augmented reality into higher education positively affects self-learning, promoting active student engagement and meaningful learning experiences. Additionally, students perceive these immersive educational methods as bridging the gap between virtual and in-person learning environments, ultimately leading to enhanced educational results.","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136102294","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}
<p>This issue contains 12 papers. Seven papers have been selected from the CASA 2022 Aninex workshop by the program committee chaired by Professor Jian Chang from Bournemouth University. These papers have been extensively revised and then reviewed by the CAVW editorial team. The last five papers are regular papers.</p><p>In the first paper, Wenshu Zhang et al. present Struct2Hair, a novel single-viewed hair modeling approach by extracting hair shape descriptor (HSD). The HSD is defined as the fundamental structure-aware feature, which is a combination of critical shapes in a hairstyle. A complete dataset of critical hair shapes is constructed from a known database of 3D hair models.</p><p>In the second paper, Yanrui Xu et al. propose a novel boundary-distance based adaptive method for SPH fluid simulation. The signed-distance field constructed concerning the coupling boundary is introduced to determine particle resolution in different spatial positions. The resolution is maximal within a specific distance to the boundary and decreases smoothly as the distance increases until a threshold is reached. The sizes of the particles are then adjusted toward the resolution via splitting and merging. Additionally, a wake flow preservation mechanism is introduced to keep the particle resolution at a high level for a period of time after a particle flows through the boundary object to prevent the loss of flow details.</p><p>In the third paper, Tingting Li et al. propose a point cloud synthesis method based on stochastic differential equations (SDEs). They view the point cloud generation process as smoothly transforming from a known prior distribution toward the high-likelihood shape by point-level denoising. They introduce a conditional corrector sampler to improve the quality of point clouds. They additionally prove that their approach can be trained in an auto-encoding fashion and reconstruct point cloud faithfully. Furthermore, their model can be extended on a downstream application of point clouds completion. Experimental results demonstrate the effectiveness and efficiency of their method.</p><p>In the fourth paper, Shuqing Yu et al. present a multiscale framework with visual field analysis branch to improve estimation accuracy. The model is based on the feature pyramids and predicts vision field to help gaze estimation. In particular, the authors analyze the effect of the multiscale component and the visual field branch on challenging benchmark datasets: MPIIGaze and EYEDIAP. Based on these studies, their proposed PerimetryNet significantly outperforms state-of-the-art methods. In addition, the multiscale mechanism and visual field branch can be easily applied to existing network architecture for gaze estimation.</p><p>The fifth paper by Junheng Fang et al. focuses on the emergence of position-based simulation approaches that has quickly developed a group of new topics in the computer graphics community. These approaches are popular due to their advant
{"title":"Editorial Issue 34.5","authors":"Nadia Magnenat Thalmann, Daniel Thalmann","doi":"10.1002/cav.2222","DOIUrl":"https://doi.org/10.1002/cav.2222","url":null,"abstract":"<p>This issue contains 12 papers. Seven papers have been selected from the CASA 2022 Aninex workshop by the program committee chaired by Professor Jian Chang from Bournemouth University. These papers have been extensively revised and then reviewed by the CAVW editorial team. The last five papers are regular papers.</p><p>In the first paper, Wenshu Zhang et al. present Struct2Hair, a novel single-viewed hair modeling approach by extracting hair shape descriptor (HSD). The HSD is defined as the fundamental structure-aware feature, which is a combination of critical shapes in a hairstyle. A complete dataset of critical hair shapes is constructed from a known database of 3D hair models.</p><p>In the second paper, Yanrui Xu et al. propose a novel boundary-distance based adaptive method for SPH fluid simulation. The signed-distance field constructed concerning the coupling boundary is introduced to determine particle resolution in different spatial positions. The resolution is maximal within a specific distance to the boundary and decreases smoothly as the distance increases until a threshold is reached. The sizes of the particles are then adjusted toward the resolution via splitting and merging. Additionally, a wake flow preservation mechanism is introduced to keep the particle resolution at a high level for a period of time after a particle flows through the boundary object to prevent the loss of flow details.</p><p>In the third paper, Tingting Li et al. propose a point cloud synthesis method based on stochastic differential equations (SDEs). They view the point cloud generation process as smoothly transforming from a known prior distribution toward the high-likelihood shape by point-level denoising. They introduce a conditional corrector sampler to improve the quality of point clouds. They additionally prove that their approach can be trained in an auto-encoding fashion and reconstruct point cloud faithfully. Furthermore, their model can be extended on a downstream application of point clouds completion. Experimental results demonstrate the effectiveness and efficiency of their method.</p><p>In the fourth paper, Shuqing Yu et al. present a multiscale framework with visual field analysis branch to improve estimation accuracy. The model is based on the feature pyramids and predicts vision field to help gaze estimation. In particular, the authors analyze the effect of the multiscale component and the visual field branch on challenging benchmark datasets: MPIIGaze and EYEDIAP. Based on these studies, their proposed PerimetryNet significantly outperforms state-of-the-art methods. In addition, the multiscale mechanism and visual field branch can be easily applied to existing network architecture for gaze estimation.</p><p>The fifth paper by Junheng Fang et al. focuses on the emergence of position-based simulation approaches that has quickly developed a group of new topics in the computer graphics community. These approaches are popular due to their advant","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"34 5","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cav.2222","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50152182","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}
Pub Date : 2023-10-17DOI: 10.3390/virtualworlds2040019
Muhammad Zahid Iqbal, Abraham G. Campbell
Metaverse is an upcoming transformative technology that will impact our future society with immersive experiences. The recent surge in the adoption of new technologies and innovations in connectivity, interaction technology, and artificial realities can fundamentally change the digital world. The Metaverse concept is the most recent trend to encapsulate and define the potential new digital landscape. However, with the introduction of 5G with high speed and low latency advancements in the hardware and software with the graphics power to display millions of polygons in 3D and blockchain technology, this concept is no longer fiction. This transition from today’s Internet to a spatially embodied Internet is, at its core, a transition from 2D to 3D interactions taking place in multiple virtual universes. In recent years, augmented virtual reality has created possibilities in the private and professional spheres. The new Virtual Reality (VR) headsets and Augmented Reality (AR) glasses can provide immersion in the physical sense. Technology must offer realistic experiences for users to turn this concept into reality. This paper focuses on the potential use cases and benefits of the Metaverse as a tech for good. The research paper outlines the potential areas where a positive impact could occur, highlights recent progress, and discusses the issues around trust, ethics, and cognitive load.
{"title":"Metaverse as Tech for Good: Current Progress and Emerging Opportunities","authors":"Muhammad Zahid Iqbal, Abraham G. Campbell","doi":"10.3390/virtualworlds2040019","DOIUrl":"https://doi.org/10.3390/virtualworlds2040019","url":null,"abstract":"Metaverse is an upcoming transformative technology that will impact our future society with immersive experiences. The recent surge in the adoption of new technologies and innovations in connectivity, interaction technology, and artificial realities can fundamentally change the digital world. The Metaverse concept is the most recent trend to encapsulate and define the potential new digital landscape. However, with the introduction of 5G with high speed and low latency advancements in the hardware and software with the graphics power to display millions of polygons in 3D and blockchain technology, this concept is no longer fiction. This transition from today’s Internet to a spatially embodied Internet is, at its core, a transition from 2D to 3D interactions taking place in multiple virtual universes. In recent years, augmented virtual reality has created possibilities in the private and professional spheres. The new Virtual Reality (VR) headsets and Augmented Reality (AR) glasses can provide immersion in the physical sense. Technology must offer realistic experiences for users to turn this concept into reality. This paper focuses on the potential use cases and benefits of the Metaverse as a tech for good. The research paper outlines the potential areas where a positive impact could occur, highlights recent progress, and discusses the issues around trust, ethics, and cognitive load.","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135994126","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}
Reaction time, the ability to detect, process and respond to stimuli, is one of the fundamental factors in human computer interaction, and is a key cognitive skill in clinical and healthy populations. Good reaction time allows us to respond to stimuli and situations with agility and efficiency. How to train and improve a person's reaction time has become an important research question. In this paper, we present a new training genre which combines the user-centered personalized training objects generation with precise tracking of foot interaction.Virtual objects are created with respect to the user's features and historical training effectiveness, and are in motion. A foot tracking algorithm based on three-Gaussian model is designed to support interaction with stepping on moving virtual objects. We present the design and implementation of the system, as well as user studies. Findings illustrate that the reaction time performances are significantly improved following of seven days of training based on foot interaction.
{"title":"Supporting foot interaction of reaction time training system","authors":"Chenyu Zang, Wei Gai, Haodong Li, Chenzhi Xing, Wenfei Wang, Dongli Li, Gaorong Lv, Chenglei Yang","doi":"10.1002/cav.2219","DOIUrl":"10.1002/cav.2219","url":null,"abstract":"<div>\u0000 \u0000 <p>Reaction time, the ability to detect, process and respond to stimuli, is one of the fundamental factors in human computer interaction, and is a key cognitive skill in clinical and healthy populations. Good reaction time allows us to respond to stimuli and situations with agility and efficiency. How to train and improve a person's reaction time has become an important research question. In this paper, we present a new training genre which combines the user-centered personalized training objects generation with precise tracking of foot interaction.Virtual objects are created with respect to the user's features and historical training effectiveness, and are in motion. A foot tracking algorithm based on three-Gaussian model is designed to support interaction with stepping on moving virtual objects. We present the design and implementation of the system, as well as user studies. Findings illustrate that the reaction time performances are significantly improved following of seven days of training based on foot interaction.</p>\u0000 </div>","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"35 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135146223","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}
Xiyu Bao, Yulong Bian, Meng Qi, Ran Liu, Wei Gai, Juan Liu, Hongqiu Luan, Chenglei Yang, Yu Wang
Current VR/AR system development studios lack a toolkit that can automatically generate hierarchical tile menu layouts and menu prototypes for VR/AR devices without the need for user programming. This paper proposes a solution in the form of a toolkit that automatically generates a hierarchy tile menu layout using a modified circular treemap algorithm. Users can interactively arrange and resize tiles to create various layouts according to their preferences or needs, utilizing a circle packer method. The toolkit further automatically generates a VR/AR menu prototype based on the resulting layout. Notably, reprogramming is not necessary each time the hierarchy is modified or the menu layout is redesigned. The user test results demonstrate that the proposed toolkit simplifies the creation of hierarchical tile menu layouts, enhances user efficiency in the design process, and enables users to flexibly create hierarchical tile menu prototypes according to their design ideas.
{"title":"A toolkit for automatically generating and modifying VR hierarchy tile menus","authors":"Xiyu Bao, Yulong Bian, Meng Qi, Ran Liu, Wei Gai, Juan Liu, Hongqiu Luan, Chenglei Yang, Yu Wang","doi":"10.1002/cav.2208","DOIUrl":"10.1002/cav.2208","url":null,"abstract":"<p>Current VR/AR system development studios lack a toolkit that can automatically generate hierarchical tile menu layouts and menu prototypes for VR/AR devices without the need for user programming. This paper proposes a solution in the form of a toolkit that automatically generates a hierarchy tile menu layout using a modified circular treemap algorithm. Users can interactively arrange and resize tiles to create various layouts according to their preferences or needs, utilizing a circle packer method. The toolkit further automatically generates a VR/AR menu prototype based on the resulting layout. Notably, reprogramming is not necessary each time the hierarchy is modified or the menu layout is redesigned. The user test results demonstrate that the proposed toolkit simplifies the creation of hierarchical tile menu layouts, enhances user efficiency in the design process, and enables users to flexibly create hierarchical tile menu prototypes according to their design ideas.</p>","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"35 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135346874","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}
Pub Date : 2023-10-04DOI: 10.3390/virtualworlds2040018
Silvino Martins, Mário Vairinhos
In the context of therapeutic exposure to phobias, virtual reality (VR) offers innovative ways to motivate patients to confront their fears, an opportunity not feasible in traditional non-digital settings. This systematic literature review explores the utilization of narratives and digital games in this context, focusing on identifying the most common ludic and narrative immersion features employed in studies dedicated to animal phobias. Via a search on the Scopus and Web of Science scientific databases, twenty-nine studies were selected for in-depth analysis. The primary objective was to evaluate the presence of ludic and narrative elements in each study to understand their immersive potential across both dimensions. Findings suggest that ludic elements are more commonly used than narrative elements, which are notably scarce, and the exploration of the emotional dimension of narrative immersion is limited. An essential takeaway is that features fostering narrative immersion are invariably linked to the ludic dimension, often functioning as secondary components. This study provides a guiding framework for developing therapeutic interventions in VR, emphasizing the incorporation of ludic and narrative aspects. Additionally, it identifies untapped research opportunities, particularly the integration of autonomous narratives that are less reliant on ludic elements.
在治疗恐惧症的背景下，虚拟现实(VR)提供了创新的方式来激励患者面对他们的恐惧，这在传统的非数字环境中是不可实现的机会。这篇系统的文献综述探讨了在这种背景下叙述和数字游戏的使用，重点是确定动物恐惧症研究中最常见的搞笑和叙述沉浸特征。通过对Scopus和Web of Science科学数据库的搜索，我们选择了29项研究进行深入分析。我们的主要目标是评估每个研究中搞笑和叙事元素的存在，以了解它们在两个维度上的沉浸潜力。研究结果表明，游戏中戏谑元素的使用频率高于叙事元素，叙事元素明显稀缺，对叙事沉浸的情感维度的探索有限。一个重要的结论是，培养叙事沉浸感的功能总是与乐趣维度联系在一起，通常是次要组件。本研究为开发VR治疗干预提供了一个指导框架，强调了搞笑和叙事方面的结合。此外，它还发现了尚未开发的研究机会，特别是对不太依赖于搞笑元素的自主叙事的整合。
{"title":"Ludic and Narrative Immersion in Virtual Reality Exposure Therapy to Animal Phobias: A Systematic Literature Review","authors":"Silvino Martins, Mário Vairinhos","doi":"10.3390/virtualworlds2040018","DOIUrl":"https://doi.org/10.3390/virtualworlds2040018","url":null,"abstract":"In the context of therapeutic exposure to phobias, virtual reality (VR) offers innovative ways to motivate patients to confront their fears, an opportunity not feasible in traditional non-digital settings. This systematic literature review explores the utilization of narratives and digital games in this context, focusing on identifying the most common ludic and narrative immersion features employed in studies dedicated to animal phobias. Via a search on the Scopus and Web of Science scientific databases, twenty-nine studies were selected for in-depth analysis. The primary objective was to evaluate the presence of ludic and narrative elements in each study to understand their immersive potential across both dimensions. Findings suggest that ludic elements are more commonly used than narrative elements, which are notably scarce, and the exploration of the emotional dimension of narrative immersion is limited. An essential takeaway is that features fostering narrative immersion are invariably linked to the ludic dimension, often functioning as secondary components. This study provides a guiding framework for developing therapeutic interventions in VR, emphasizing the incorporation of ludic and narrative aspects. Additionally, it identifies untapped research opportunities, particularly the integration of autonomous narratives that are less reliant on ludic elements.","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135591058","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}
Skeleton-based human action recognition is gaining significant attention and finding widespread application in various fields, such as virtual reality and human-computer interaction systems. Recent studies have highlighted the effectiveness of graph convolutional network (GCN) based methods in this task, leading to a remarkable improvement in prediction accuracy. However, most GCN-based methods overlook the varying contributions of self, centripetal and centrifugal subsets. Besides, only a single-scale temporal feature is adopted, and the multi-temporal scale information is ignored. To this end, firstly, in order to differentiate the importance of different skeleton subsets, we develop a refinement graph convolution, which can adaptively learn a weight for each subset feature. Secondly, a multi-temporal scale aggregation module is proposed to extract more discriminative temporal dynamic information. Furthermore, a multi-temporal scale aggregation refinement graph convolutional network (MTSA-RGCN) is proposed, and four-stream structure is also adopted in this paper, which can comprehensively model complementary features and eventually achieves a significant performance boost. In the empirical experiments, the performance of our approach has been greatly improved on both NTU-RGB+D 60 and NTU-RGB+D 120 datasets, compared to other state-of-the-art methods.
{"title":"Multi-temporal scale aggregation refinement graph convolutional network for skeleton-based action recognition","authors":"Xuanfeng Li, Jian Lu, Jian Zhou, Wei Liu, Kaibing Zhang","doi":"10.1002/cav.2221","DOIUrl":"10.1002/cav.2221","url":null,"abstract":"<p>Skeleton-based human action recognition is gaining significant attention and finding widespread application in various fields, such as virtual reality and human-computer interaction systems. Recent studies have highlighted the effectiveness of graph convolutional network (GCN) based methods in this task, leading to a remarkable improvement in prediction accuracy. However, most GCN-based methods overlook the varying contributions of self, centripetal and centrifugal subsets. Besides, only a single-scale temporal feature is adopted, and the multi-temporal scale information is ignored. To this end, firstly, in order to differentiate the importance of different skeleton subsets, we develop a refinement graph convolution, which can adaptively learn a weight for each subset feature. Secondly, a multi-temporal scale aggregation module is proposed to extract more discriminative temporal dynamic information. Furthermore, a multi-temporal scale aggregation refinement graph convolutional network (MTSA-RGCN) is proposed, and four-stream structure is also adopted in this paper, which can comprehensively model complementary features and eventually achieves a significant performance boost. In the empirical experiments, the performance of our approach has been greatly improved on both NTU-RGB+D 60 and NTU-RGB+D 120 datasets, compared to other state-of-the-art methods.</p>","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"35 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135770021","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}
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