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arXiv 2024年

作者： Yuan, Chao Cao, Nan Ma, Xuejiao Dang, Shengqi Intelligent Big Data Visualization Lab Tongji University China

Freeform thin-shell surfaces are critical in various fields, but their fabrication is complex and costly. Traditional methods are wasteful and require custom molds, while 3D printing needs extensive support structures and post-processing. Thermoshrinkage actuated 4D printing is an effective method through flat structures fabricating 3D shell. However, existing research faces issues related to precise deformation and limited robustness. Addressing these issues is challenging due to three key factors: (1) Difficulty in finding a universal method to control deformation across different materials;(2) Variability in deformation influenced by factors such as printing speed, layer thickness, and heating temperature;(3) Environmental factors affecting the deformation process. To overcome these challenges, we introduce FreeShell, a robust 4D printing technique that uses thermoshrinkage to create precise 3D shells. This method prints triangular tiles connected by shrinkable connectors from a single material. Upon heating, the connectors shrink, moving the tiles to form the desired 3D shape, simplifying fabrication and reducing material and environment dependency. An optimized algorithm for flattening 3D meshes ensures precision in printing. FreeShell demonstrates its effectiveness through various examples and experiments, showcasing accuracy, robustness, and strength, representing advancement in fabricating complex freeform surfaces. © 2024, CC BY-NC-SA.

关键词： Mesh generation

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Temporal Dynamics and Anomaly Detection in Transactional Networks 11

Temporal Dynamics and Anomaly Detection in Transactional Net...

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11th IEEE/ACM International Conference on Big data Computing, Applications and Technologies, BDCAT 2024

作者： Wei, Ethan Dang, Tommy Texas Tech University Anson L. Clark Scholar 2024 Lubbock United States Texas Tech University Interactive Data Visualization Lab Lubbock United States

ISBN: (纸本)9798350367300

In this paper, we use data visualization and visual analytics to tackle the IEEE VAST Challenge 2024 Mini Challenge 3. We use TimeArcs, measures of centrality, and multiple anomaly detection algorithms to visualize the evolution of corporate structure and identify suspicious behavior in the Oceanus Fishing Market. We then create an anomaly detection algorithm combining 3 measures of centrality and isolation forest and local outlier factor algorithms to analyze transactional networks over time and rank nodes by an anomaly score. The algorithm is tested on the VAST Challenge data as well as the 1999 DARPA Intrusion Detection dataset. The algorithm succeeds in ranking many nodes labeled as suspicious during the VAST Challenge with high anomaly scores. It achieves a peak 97.31 percent accuracy on the DARPA dataset. This demonstrates the power of representing different types of data as transactional networks and shows the potential of this algorithm to be used as a versatile tool for other datasets. © 2024 IEEE.

关键词： Spatio-temporal data

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Utilizing TimeArcs and PageRank to Solve the 2024 VAST Challenge Mini Challenge 3

Utilizing TimeArcs and PageRank to Solve the 2024 VAST Chall...

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VAST Challenge

作者： Ethan Wei Tommy Dang Texas Tech University Interactive Data Visualization Lab Texas Tech University

ISBN: (数字)9798331517274

ISBN: (纸本)9798331517281

To solve the 2024 VAST Challenge MC3, we use PageRank and different filtering techniques to select nodes or components of interest. We then use TimeArc, a data visualization technique to visualize the evolution of the corporate structure of these nodes and serve as a tool to investigate and confirm this suspicious behavior. We used these techniques to investigate many nodes including the given SouthSeafood Express Corp that was involved in illegal activity. We discovered a few key features associated with anomalous nodes such as instances of founding shell companies and large power transfers.

关键词： Filtering Visual analytics data visualization Companies

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LIFEELING: A "Detox" Metaphor-Based Fitness Tracking and Reminder Device Designed for the Elderly 24

LIFEELING: A "Detox" Metaphor-Based Fitness Tracking and Rem...

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27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW Companion 2024

作者： Ling, Long Zheng, Xiyu Pan, Jiayu Chen, Hao Diao, Yuting Liu, Guanhong Intelligent Big Data Visualization Lab Tongji University Shanghai China College of Design and Innovation Tongji University Shanghai China Tsinghua University Beijing China Tongji University Shanghai China

ISBN: (纸本)9798400711145

With society aging, electronic wearable devices (EWDs) can be a viable option to promote healthy living among the elderly. However, these devices often present complex graphics, difficult interfaces, and inappropriate assistance features, which hinder their use by older individuals. To address this, we conducted a formative interview and found that the elderly need simple and positive signals, psychological support through objects, and guidance for preventing over-exercise in EWDs. Thus, we propose LIFEELING, a fitness tracking and reminder system that combines the traditional bracelet form factor with the prevalent concept of "detoxification"among the Chinese elderly. Additionally, LIFEELING can provide positive psychological sustenance using the metaphor of "detoxification"and mimic design. Meanwhile, it can monitor the user's heart rate and assist with breathing adjustments. A preliminary study helps us understand how the elderly perceive it and better position our contributions. © 2024 ACM.

关键词： Wearable technology

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Leveraging Foundation Models for Crafting Narrative visualization: A Survey

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IEEE Transactions on visualization and Computer Graphics 2025年 PP卷 PP页

作者： He, Yi Xu, Ke Cao, Shixiong Shi, Yang Chen, Qing Cao, Nan Tongji University Intelligent Big Data Visualization Lab China Nanjing University School of Intelligence Science and Technology China

Narrative visualization transforms data into engaging stories, making complex information accessible to a broad audience. Foundation models, with their advanced capabilities such as natural language processing, content generation, and multimodal integration, hold substantial potential for enriching narrative visualization. Recently, a collection of techniques have been introduced for crafting narrative visualizations based on foundation models from different aspects. We build our survey upon 66 papers to study how foundation models can progressively engage in this process and then propose a reference model categorizing the reviewed literature into four essential phases: Analysis, Narration, visualization, and Interaction. Furthermore, we identify eight specific tasks (e.g. Insight Extraction and Authoring) where foundation models are applied across these stages to facilitate the creation of visual narratives. Detailed descriptions, related literature, and reflections are presented for each task. To make it a more impactful and informative experience for diverse readers, we discuss key research problems and provide the strengths and weaknesses in each task to guide people in identifying and seizing opportunities while navigating challenges in this field. © 2025 IEEE.

关键词： visualization

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MusicJam: Visualizing Music Insights via Generated Narrative Illustrations

arXiv

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arXiv 2023年

作者： Chen, Chuer Cao, Nan Hou, Jiani Guo, Yi Zhang, Yulei Shi, Yang Intelligent Big Data Visualization Lab Tongji University China

Visualizing the insights of the invisible music is able to bring listeners an enjoyable and immersive listening experience, and therefore has attracted much attention in the field of information visualization. Over the past decades, various music visualization techniques have been introduced. However, most of them are manually designed by following the visual encoding rules, thus shown in form of a graphical visual representation whose visual encoding schema is usually taking effort to understand. Recently, some researchers use figures or illustrations to represent music moods, lyrics, and musical features, which are more intuitive and attractive. However, in these techniques, the figures are usually pre-selected or statically generated, so they cannot precisely convey insights of different pieces of music. To address this issue, in this paper, we introduce MusicJam, a music visualization system that is able to generate narrative illustrations to represent the insight of the input music. The system leverages a novel generation model designed based on GPT-2 to generate meaningful lyrics given the input music and then employs the stable diffusion model to transform the lyrics into coherent illustrations. Finally, the generated results are synchronized and rendered as an MP4 video accompanied by the input music. We evaluated the proposed lyric generation model by comparing it to the baseline models and conducted a user study to estimate the quality of the generated illustrations and the final music videos. The results showed the power of our technique. Copyright © 2023, The Authors. All rights reserved.

关键词： visualization

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Beyond Numbers: Creating Analogies to Enhance data Comprehension and Communication with Generative AI

arXiv

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arXiv 2024年

作者： Chen, Qing Shuai, Wei Zhang, Jiyao Sun, Zhida Cao, Nan Intelligent Big Data Visualization Lab Tongji University China College of Computer Science & Software Engineering Shenzhen University China Intelligent Big Data Visualization Lab Tongji College of Design and Innovation China

Unfamiliar measurements usually hinder readers from grasping the scale of the numerical data, understanding the content, and feeling engaged with the context. To enhance data comprehension and communication, we leverage analogies to bridge the gap between abstract data and familiar measurements. In this work, we first conduct semi-structured interviews with design experts to identify design problems and summarize design considerations. Then, we collect an analogy dataset of 138 cases from various online sources. Based on the collected dataset, we characterize a design space for creating data analogies. Next, we build a prototype system, AnalogyMate, that automatically suggests data analogies, their corresponding design solutions, and generated visual representations powered by generative AI. The study results show the usefulness of AnalogyMate in aiding the creation process of data analogies and the effectiveness of data analogy in enhancing data comprehension and communication. © 2024, CC BY.

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Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI

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Proceedings of the ACM on Human-Computer Interaction 2024年第CHI PLAY期8卷 1-28页

作者： Ling, Long Chen, Xinyi Wen, Ruoyu Jia-Jun Li, Toby Lc, Ray Intelligent Big Data Visualization Lab Tongji University Shanghai China Zhejiang University Hangzhou China University of Canterbury New Zealand Christchurch New Zealand University of Notre Dame Notre Dame United States School of Creative Media City University of Hong Kong Hong Kong Hong Kong

Character design in games involves interdisciplinary collaborations, typically between designers who create the narrative content, and illustrators who realize the design vision. However, traditional workflows face challenges in communication due to the differing backgrounds of illustrators and designers, the latter with limited artistic abilities. To overcome these challenges, we created Sketchar, a Generative AI (GenAI) tool that allows designers to prototype game characters and generate images based on conceptual input, providing visual outcomes that can give immediate feedback and enhance communication with illustrators’ next step in the design cycle. We conducted a mixed-method study to evaluate the interaction between game designers and Sketchar. We showed that the reference images generated in co-creating with Sketchar fostered refinement of design details and can be incorporated into real-world workflows. Moreover, designers without artistic backgrounds found the Sketchar workflow to be more expressive and worthwhile. This research demonstrates the potential of GenAI in enhancing interdisciplinary collaboration in the game industry, enabling designers to interact beyond their own limited expertise. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Game design

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A Survey of Developable Surfaces: From Shape Modeling to Manufacturing

arXiv

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arXiv 2023年

作者： Yuan, Chao Cao, Nan Shi, Yang The Intelligent Big Data Visualization Lab Tongji University Shanghai China

Developable surfaces are commonly observed in various applications such as architecture, product design, manufacturing, mechanical materials, and data physicalization as well as in the development of tangible interaction and deformable robots, with the characteristics of easy-to-product, low-cost, transport-friendly, and deformable. Transforming shapes into developable surfaces is a complex and comprehensive task, which forms a variety of methods of segmentation, unfolding, and manufacturing for shapes with different geometry and topology, resulting in the complexity of developable surfaces. In this paper, we reviewed relevant methods and techniques for the study of developable surfaces, characterize them with our proposed pipeline, and categorize them based on digital modeling, physical modeling, interaction, and application. Through the analysis to the relevant literature, we also discussed some of the research challenges and future research opportunities. Copyright © 2023, The Authors. All rights reserved.

关键词： Product design

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Learning from Hybrid Craft: Investigating and Reflecting on Innovating and Enlivening Traditional Craft through Literature Review 24

Learning from Hybrid Craft: Investigating and Reflecting on ...

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2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024

作者： Liu, Guanhong Shi, Qingyuan Yao, Yuan Feng, Yuanling Yu, Tianyu Liu, Beituo Ma, Zhijun Huang, Li Diao, Yuting Intelligent Big Data Visualization Lab Tongji University Shanghai China Communication University of China Beijing China School of Architecture and Design Beijing Jiaotong University Beijing China The Future Laboratory Tsinghua University Beijing China Guangzhou China

ISBN: (纸本)9798400703300

The key to preserving traditional crafts lies in living transmission, which is inseparable from sustaining artistic production, audience consumption, and progressive innovation with the physical media. As HCI researchers, we focus on the hybrid crafts field, which involves numerous cross-disciplinary integration cases between traditional craftsmanship and digital technology at the physical level, providing inspiration for innovating and enlivening traditional crafts. We conducted a multi-perspective review of 85 hybrid craft articles related to traditional crafts over the past decade, considering aspects such as craft categories, digital technology, target users, and research areas. Through reflection, we propose a design framework for fostering innovation and revitalizing traditional crafts. This paper aims to offer insight into the innovation and enlivenment of traditional crafts through a hybrid craft perspective while also serving as a first review of the hybrid craft field from the traditional craftsmanship perspective. © 2024 Copyright held by the owner/author(s)

关键词： culture heritage hybrid craft literature review traditional craft innovation

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