IEEE Computer Graphics and Applications最新文献_第3页

Mixed Reality Collaboration: How Expert Representations Shape User Experiences. 混合现实协作：专家代表如何塑造用户体验。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-03-01 DOI: 10.1109/MCG.2025.3537316

Bernardo Marques, Samuel Silva, Carlos Ferreira, Sergio Oliveira, Andreia Santos, Paulo Dias, Beatriz Sousa Santos, Mike Potel

{"title":"Mixed Reality Collaboration: How Expert Representations Shape User Experiences.","authors":"Bernardo Marques, Samuel Silva, Carlos Ferreira, Sergio Oliveira, Andreia Santos, Paulo Dias, Beatriz Sousa Santos, Mike Potel","doi":"10.1109/MCG.2025.3537316","DOIUrl":"https://doi.org/10.1109/MCG.2025.3537316","url":null,"abstract":"Remote assistance has become integral in today's work environments, enabling offsite experts to guide team members in need of assistance. One technology that has gained momentum is mixed reality (MR), combining virtual and augmented reality elements, bridging physical distances, and facilitating knowledge sharing. One critical area is the representation of remote experts. Understanding how different representations influence the learning process is essential for improving the shared experience. Effective representation can enhance communication, trust, and the perceived expertise of the remote expert, thereby improving the learning and collaboration experiences. This study focuses on evaluating how different representations affect various dimensions of collaboration. The study involved 57 participants and examined six different conditions: no visual representation, representation using emojis, representation using a cartoon avatar, representation using a robot avatar, representation using a realistic avatar, and live stream using video.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"45 2","pages":"143-151"},"PeriodicalIF":1.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144287146","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

Visual Analytics for Explainable and Trustworthy Artificial Intelligence. 可解释和可信赖的人工智能的可视化分析。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-03-01 DOI: 10.1109/MCG.2025.3533806

Angelos Chatzimparmpas, Sumanta N Pattanaik

{"title":"Visual Analytics for Explainable and Trustworthy Artificial Intelligence.","authors":"Angelos Chatzimparmpas, Sumanta N Pattanaik","doi":"10.1109/MCG.2025.3533806","DOIUrl":"https://doi.org/10.1109/MCG.2025.3533806","url":null,"abstract":"Our society increasingly depends on intelligent systems to solve complex problems, ranging from recommender systems suggesting the next movie to watch to AI models assisting in medical diagnoses for hospitalized patients. With the iterative improvement of diagnostic accuracy and efficiency, AI holds significant potential to mitigate medical misdiagnoses by preventing numerous deaths and reducing an economic burden of approximately € 450 billion annually. However, a key obstacle to AI adoption lies in the lack of transparency, that is, many automated systems provide predictions without revealing the underlying processes. This opacity can hinder experts' ability to trust and rely on AI systems. Visual analytics (VA) provides a compelling solution by combining AI models with interactive visualizations. These specialized charts and graphs empower users to incorporate their domain expertise to refine and improve the models, bridging the gap between AI and human understanding. In this work, the author defines, categorizes, and explores how VA solutions can foster trust across the stages of a typical AI pipeline. The author proposes a design space for innovative visualizations and presents an overview of our previously developed VA dashboards, which support critical tasks within the various pipeline stages, including data processing, feature engineering, hyperparameter tuning, understanding, debugging, refining, and comparing models.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"45 2","pages":"100-111"},"PeriodicalIF":1.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144287149","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

Meet-in-Style: Text-Driven Real-Time Video Stylization Using Diffusion Models. 风格相遇：使用扩散模型的文本驱动的实时视频风格化。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-03-01 DOI: 10.1109/MCG.2025.3554312

David Kunz, Ondrej Texler, David Mould, Daniel Sykora

引用次数: 0

Trame: Platform Ubiquitous, Scalable Integration Framework for Visual Analytics. 框架：平台无处不在，可扩展的可视化分析集成框架。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-03-01 DOI: 10.1109/MCG.2025.3540264

Se'bastien Jourdain, Patrick O'Leary, Will Schroeder, Nicholas F Polys

{"title":"Trame: Platform Ubiquitous, Scalable Integration Framework for Visual Analytics.","authors":"Se'bastien Jourdain, Patrick O'Leary, Will Schroeder, Nicholas F Polys","doi":"10.1109/MCG.2025.3540264","DOIUrl":"https://doi.org/10.1109/MCG.2025.3540264","url":null,"abstract":"Trame is an open-source, Python-based, scalable integration framework for visual analytics. It is the culmination of decades of work-by a large and active community-beginning with the creation of VTK, the growth of ParaView as a premier high-performance, client-server computing system, and more recently the creation of web tools, such as VTK.js and VTK.wasm. As an integration environment, trame relies on open-source standards and tools that can be easily combined into effective computing solutions. We have long recognized that impactful analytics tools must be ubiquitous-meaning they run on all major computing platforms-and integrate/interoperate easily with external packages, such as data systems and processing tools, application UI frameworks, and 2-D/3-D graphical libraries. In this article, we present the architecture and use of trame for applications ranging from simple dashboards to complex workflow-based applications. We also describe examples that readily incorporate external tools and run without coding changes on desktop, mobile, cloud, client-server, and interactive computing notebooks, such as Jupyter.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"45 2","pages":"126-134"},"PeriodicalIF":1.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144287148","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

AI-in-The-Loop: The Future of Biomedical Visual Analytics Applications in the Era of AI. AI-in-The- loop: AI时代生物医学视觉分析应用的未来。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-03-01 DOI: 10.1109/MCG.2024.3517293

Katja Buhler, Thomas Hollt, Thomas Schultz, Pere-Pau Vazquez, Theresa-Marie Rhyne

{"title":"AI-in-The-Loop: The Future of Biomedical Visual Analytics Applications in the Era of AI.","authors":"Katja Buhler, Thomas Hollt, Thomas Schultz, Pere-Pau Vazquez, Theresa-Marie Rhyne","doi":"10.1109/MCG.2024.3517293","DOIUrl":"https://doi.org/10.1109/MCG.2024.3517293","url":null,"abstract":"AI is the workhorse of modern data analytics and omnipresent across many sectors. Large language models and multimodal foundation models are today capable of generating code, charts, visualizations, etc. How will these massive developments of AI in data analytics shape future data visualizations and visual analytics workflows? What is the potential of AI to reshape methodology and design of future visual analytics applications? What will be our role as visualization researchers in the future? What are opportunities, open challenges, and threats in the context of an increasingly powerful AI? This Visualization Viewpoints discusses these questions in the special context of biomedical data analytics as an example of a domain in which critical decisions are taken based on complex and sensitive data, with high requirements on transparency, efficiency, and reliability. We map recent trends and developments in AI on the elements of interactive visualization and visual analytics workflows and highlight the potential of AI to transform biomedical visualization as a research field. Given that agency and responsibility have to remain with human experts, we argue that it is helpful to keep the focus on human-centered workflows, and to use visual analytics as a tool for integrating \"AI-in-the-loop.\" This is in contrast to the more traditional term \"human-in-the-loop.\" which focuses on incorporating human expertise into AI-based systems.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"45 2","pages":"90-99"},"PeriodicalIF":1.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144287144","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

Ethical Considerations and Implications of Generative AI in Computer Graphics. 计算机图形学中生成式人工智能的伦理考虑和影响。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-03-01 DOI: 10.1109/MCG.2025.3570722

Sudhir K Routray

引用次数: 0

Bridging the Gap: Long-Term Collaboration Between Computer Graphics Production and Educational Institutions in Japan. 弥合差距：日本计算机图形制作和教育机构之间的长期合作。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-03-01 DOI: 10.1109/MCG.2025.3528677

Harutaka Matsunaga, Kazunori Miyata, Yukari Nagai, Beatriz Sousa Santos, Alejandra J Magana, Rafael Bidarra

{"title":"Bridging the Gap: Long-Term Collaboration Between Computer Graphics Production and Educational Institutions in Japan.","authors":"Harutaka Matsunaga, Kazunori Miyata, Yukari Nagai, Beatriz Sousa Santos, Alejandra J Magana, Rafael Bidarra","doi":"10.1109/MCG.2025.3528677","DOIUrl":"https://doi.org/10.1109/MCG.2025.3528677","url":null,"abstract":"The Japanese entertainment computer graphics (CG) industry, including games, animation, and visual effects, is facing a gap between industry demands and the programs being offered by educational institutions. As work is being diversified, this gap is becoming more apparent owing to the lack of education in specialized technical and communication skills that companies require. To address this gap between educational institutions and Japan's CG industry, we propose a new educational model developed through industry-academic collaboration. Centered on a \"salad bowl\" education framework, the model reflects corporate culture and project characteristics, and it incorporates a mentorship system that promotes the transfer of practical skills, meeting the needs of both students and companies. The initial implementation of the model revealed significant improvement in student skills and satisfaction, indicating the formation of the foundation necessary for workplace success. The study focuses on the training of CG creators in the industry and educational institutions, excluding computational knowledge and programming skills. This approach highlights the importance of long-term cooperation between education and industry in meeting diverse demands. Future research should explore the long-term impact and scalability of this model.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"45 2","pages":"152-160"},"PeriodicalIF":1.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144287145","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

Data-Inflected Visions of Feminicide. 数据影响下的杀害女性行为。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-02-17 DOI: 10.1109/MCG.2025.3543025

Helena Suarez Val

引用次数: 0

Accelerate Cutting Tasks in Real-Time Interactive Cutting Simulation of Deformable Objects. 可变形物体实时交互切削仿真中的加速切削任务。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-02-05 DOI: 10.1109/MCG.2025.3538985

Shiyu Jia, Qian Dong, Zhenkuan Pan, Xiaokang Yu, Wenli Xiu, Jingli Zhang

引用次数: 0

Present and Future of Everyday-Use Augmented Reality Eyeglasses. 日常使用的增强现实眼镜的现在和未来。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-01-01 DOI: 10.1109/MCG.2024.3491532

Praneeth Chakravarthula, Sumanta N Pattanaik

{"title":"Present and Future of Everyday-Use Augmented Reality Eyeglasses.","authors":"Praneeth Chakravarthula, Sumanta N Pattanaik","doi":"10.1109/MCG.2024.3491532","DOIUrl":"https://doi.org/10.1109/MCG.2024.3491532","url":null,"abstract":"Augmented reality (AR) is emerging as the next ubiquitous wearable technology and is expected to significantly transform various industries in the near future. There has been tremendous investment in developing AR eyeglasses in recent years, including about $45 billion investment by Meta since 2021. Despite such efforts, the existing displays are very bulky in form factor and there has not yet been a socially acceptable eyeglasses-style AR display. Such wearable display eyeglasses promise to unlock enormous potential in diverse applications such as medicine, education, navigation, and many more; but until eyeglass-style AR glasses are realized, those possibilities remain only a dream. My research addresses this problem and makes progress \"towards everyday-use augmented reality eyeglasses\" through computational imaging, displays, and perception. My dissertation (Chakravarthula, 2021) made advances in three key and seemingly distinct areas: first, digital holography and advanced algorithms for compact, high-quality, true 3-D holographic displays; second, hardware and software for robust and comprehensive 3-D eye tracking via Purkinje Images; and third, automatic focus adjusting AR display eyeglasses for well-focused virtual and real imagery, toward potentially achieving 20/20 vision for users of all ages.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"45 1","pages":"56-66"},"PeriodicalIF":1.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144041253","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