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VizLinter: A linter and fixer framework for data visualization

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arXiv 2021年

作者： Chen, Qing Sun, Fuling Xu, Xinyue Chen, Zui Wang, Jiazhe Cao, Nan Intelligent Big Data Visualization Lab Tongji University

— Despite the rising popularity of automated visualization tools, existing systems tend to provide direct results which do not always fit the input data or meet visualization requirements. Therefore, additional specification adjustments are still required in real-world use cases. However, manual adjustments are difficult since most users do not necessarily possess adequate skills or visualization knowledge. Even experienced users might create imperfect visualizations that involve chart construction errors. We present a framework, VizLinter, to help users detect flaws and rectify already-built but defective visualizations. The framework consists of two components, (1) a visualization linter, which applies well-recognized principles to inspect the legitimacy of rendered visualizations, and (2) a visualization fixer, which automatically corrects the detected violations according to the linter. We implement the framework into an online editor prototype based on Vega-Lite specifications. To further evaluate the system, we conduct an in-lab user study. The results prove its effectiveness and efficiency in identifying and fixing errors for data visualizations. © 2021, CC BY.

关键词： visualization

MusicJam: Visualizing Music Insights via Generated Narrative Illustrations

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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

FreeShell: A Context-Free 4D Printing Technique for Fabricating Complex 3D Triangle Mesh Shells

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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

The Chart Excites Me! Exploring How data visualization Design Influences Affective Arousal

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arXiv 2022年

作者： Lan, Xingyu Wu, Yanqiu Chen, Qing Cao, Nan Intelligent Big Data Visualization Lab Tongji University China

As data visualizations have been increasingly applied in mass communication, designers often seek to grasp viewers immediately and motivate them to read more. Such goals, as suggested by previous research, are closely associated with the activation of emotion, namely affective arousal. Given this motivation, this work takes initial steps toward understanding the arousal-related factors in data visualization design. We collected a corpus of 265 data visualizations and conducted a crowdsourcing study with 184 participants during which the participants were asked to rate the affective arousal elicited by data visualization design (all texts were blurred to exclude the influence of semantics) and provide their reasons. Based on the collected data, first, we identified a set of arousal-related design features by analyzing user comments qualitatively. Then, we mapped these features to computable variables and constructed regression models to infer which features are significant contributors to affective arousal quantitatively. Through this exploratory study, we finally identified four design features (e.g., colorfulness, the number of different visual channels) cross-validated as important features correlated with affective arousal. © 2022, CC BY.

关键词： Visual communication

A Survey of Developable Surfaces: From Shape Modeling to Manufacturing

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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

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

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

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

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

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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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datamator: An intelligent Authoring Tool for Creating datamations via data Query Decomposition

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arXiv 2023年

作者： Guo, Yi Cao, Nan Cai, Ligan Wu, Yanqiu Weiskopf, Daniel Shi, Danqing Chen, Qing Intelligent Big Data Visualization Lab Tongji University China University of Stuttgart Germany

datamation is designed to animate an analysis pipeline step by step, which is an intuitive and effective way to interpret the results from data analysis. However, creating a datamation is not easy. A qualified datamation needs to not only provide a correct analysis result but also ensure that the data flow and animation are coherent. Existing animation authoring tools focus on either leveraging algorithms to automatically generate an animation based on user-provided charts or building graphical user interfaces to provide a programming-free authoring environment for users. None of them are able to help users translate an analysis task into a series of data operations to form an analysis pipeline and visualize them as a datamation. To fill this gap, we introduce datamator, an intelligent authoring tool developed to support datamation design and generation. It leverages a novel data query decomposition model to allow users to generate an initial datamation by simply inputting a data query in natural language. The initial datamation can be refined via rich interactions and a feedback mechanism is utilized to update the decomposition model based on user knowledge and preferences. Our system produces an animated sequence of visualizations driven by a set of low-level data actions. It supports unit visualizations, which provide a mapping from each data item to a unique visual mark. We demonstrate the effectiveness of datamator via a series of evaluations including case studies, performance validation, and a controlled user study. Copyright © 2023, The Authors. All rights reserved.

关键词： visualization

How Does Automation Shape the Process of Narrative visualization: A Survey of Tools

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arXiv 2022年

作者： Chen, Qing Cao, Shixiong Wang, Jiazhe Cao, Nan Intelligent Big Data Visualization Lab Tongji University China Ant Group China

In recent years, narrative visualization has gained much attention. Researchers have proposed different design spaces for various narrative visualization genres and scenarios to facilitate the creation process. As users' needs grow and automation technologies advance, increasingly more tools have been designed and developed. In this study, we summarized six genres of narrative visualization (annotated charts, infographics, timelines & storylines, data comics, scrollytelling & slideshow, and data videos) based on previous research and four types of tools (design spaces, authoring tools, ML/AI-supported tools and ML/AI-generator tools) based on the intelligence and automation level of the tools. We surveyed 105 papers and tools to study how automation can progressively engage in visualization design and narrative processes to help users easily create narrative visualizations. This research aims to provide an overview of current research and development in the automation involvement of narrative visualization tools. We discuss key research problems in each category and suggest new opportunities to encourage further research in the related domain. © 2022, CC BY.

关键词： data visualization