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The use of natural language interfaces (NLIs) to create charts is becoming increasingly popular due to the intuitiveness of natural language interactions. One key challenge in this approach is to accurately capture user intents and…

Human-Computer Interaction · Computer Science 2025-01-22 Yuan Tian , Weiwei Cui , Dazhen Deng , Xinjing Yi , Yurun Yang , Haidong Zhang , Yingcai Wu

Animated transitions help viewers understand changes between related visualizations. To clearly present the underlying relations between statistical charts, animation authors need to have a high level of expertise and a considerable amount…

Human-Computer Interaction · Computer Science 2022-10-12 Wenchao Li , Yun Wang , He Huang , Weiwei Cui , Haidong Zhang , Huamin Qu , Dongmei Zhang

Current AI-assisted programming tools are predominantly linear and chat-based, which deviates from the iterative and branching nature of programming itself. Our preliminary study with developers using AI assistants suggested that they often…

Human-Computer Interaction · Computer Science 2026-04-22 Vassilios Exarhakos , Jinghui Cheng , Jin L. C. Guo

The digital conversion of information stored in documents is a great source of knowledge. In contrast to the documents text, the conversion of the embedded documents graphics, such as charts and plots, has been much less explored. We…

Computer Vision and Pattern Recognition · Computer Science 2021-11-30 Joseph Shtok , Sivan Harary , Ophir Azulai , Adi Raz Goldfarb , Assaf Arbelle , Leonid Karlinsky

A key challenge to visualization authoring is the process of getting familiar with the complex user interfaces of authoring tools. Natural Language Interface (NLI) presents promising benefits due to its learnability and usability. However,…

Human-Computer Interaction · Computer Science 2022-10-25 Yun Wang , Zhitao Hou , Leixian Shen , Tongshuang Wu , Jiaqi Wang , He Huang , Haidong Zhang , Dongmei Zhang

We present drillboards, a technique for adaptive visualization dashboards consisting of a hierarchy of coordinated charts that the user can drill down to reach a desired level of detail depending on their expertise, interest, and desired…

Human-Computer Interaction · Computer Science 2025-02-18 Sungbok Shin , Inyoup Na , Niklas Elmqvist

Large Language Models (LLMs) can perform chart question-answering tasks but often generate unverified hallucinated responses. Existing answer attribution methods struggle to ground responses in source charts due to limited visual-semantic…

Computation and Language · Computer Science 2025-02-04 Kanika Goswami , Puneet Mathur , Ryan Rossi , Franck Dernoncourt

State-of-the-art visual generative AI tools hold immense potential to assist users in the early ideation stages of creative tasks -- offering the ability to generate (rather than search for) novel and unprecedented (instead of existing)…

Computer Vision and Pattern Recognition · Computer Science 2025-09-05 Evans Xu Han , Alice Qian Zhang , Haiyi Zhu , Hong Shen , Paul Pu Liang , Jane Hsieh

Textual content (including titles, annotations, and captions) plays a central role in helping readers understand a visualization by emphasizing, contextualizing, or summarizing the depicted data. Yet, existing visualization tools provide…

Human-Computer Interaction · Computer Science 2025-02-12 Arjun Srinivasan , Vidya Setlur , Arvind Satyanarayan

With most modern visualization tools, authors need to transform their data into tidy formats to create visualizations they want. Because this requires experience with programming or separate data processing tools, data transformation…

Human-Computer Interaction · Computer Science 2023-10-31 Chenglong Wang , John Thompson , Bongshin Lee

Complex data analysis inherently seeks unexpected insights through exploratory visual analysis methods, transcending logical, step-by-step processing. However, existing interfaces such as notebooks and dashboards have limitations in…

Human-Computer Interaction · Computer Science 2024-03-22 Zijian Ding , Joel Chan

Embedding data visualizations in video can enhance the communication of complex information. However, this process is often labor-intensive, requiring designers to adjust visualizations frame by frame manually. In this work, we present…

Human-Computer Interaction · Computer Science 2026-01-01 Yi He , Yuqi Liu , Chenpu Li , Ruoyan Chen , Chuer Chen , Shengqi Dang , Nan Cao

Artificial Intelligence Generated Content (AIGC) has shown remarkable progress in generating realistic images. However, in this paper, we take a step "backward" and address AIGC for the most rudimentary visual modality of human sketches.…

Computer Vision and Pattern Recognition · Computer Science 2023-08-29 Zhiyu Qu , Tao Xiang , Yi-Zhe Song

Computational notebooks, while essential for data science, are limited by their one-dimensional interface, which poorly aligns with non-linear developer workflows and complicates collaboration and human-AI interaction. In this work, we…

Software Engineering · Computer Science 2025-03-24 Konstantin Grotov , Dmitry Botov

As plots play a critical role in modern data visualization and analysis, Plot2API is launched to help non-experts and beginners create their desired plots by directly recommending graphical APIs from reference plot images by neural…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Zhenghao Xu , Mengning Yang

Generative AI tools, such as ChatGPT and Midjourney, are transforming artistic creation as AI-art integration advances. However, Artificial Intelligence Generated Content (AIGC) tools face user experience challenges, necessitating a…

Human-Computer Interaction · Computer Science 2023-08-22 Hanjie Yu , Yan Dong , Qiong Wu

Generation of scientific visualization from analytical natural language text is a challenging task. In this paper, we propose Text2Chart, a multi-staged chart generator method. Text2Chart takes natural language text as input and produce…

Recent advancements in artificial intelligence, such as computer vision and deep learning, have led to the emergence of numerous generative AI platforms, particularly for image generation. However, the application of AI-generated image…

Human-Computer Interaction · Computer Science 2024-06-21 Yuying Tang , Mariana Ciancia , Zhigang Wang , Ze Gao

Communicating data insights in an accessible and engaging manner to a broader audience remains a significant challenge. To address this problem, we introduce the Emoji Encoder, a tool that generates a set of emoji recommendations for the…

Human-Computer Interaction · Computer Science 2024-08-27 Matthew Brehmer , Vidya Setlur , Zoe , Michael Correll

Graphic design plays a crucial role in both commercial and personal contexts, yet creating high-quality, editable, and aesthetically pleasing graphic compositions remains a time-consuming and skill-intensive task, especially for beginners.…

Computer Vision and Pattern Recognition · Computer Science 2025-06-13 Zhao Zhang , Yutao Cheng , Dexiang Hong , Maoke Yang , Gonglei Shi , Lei Ma , Hui Zhang , Jie Shao , Xinglong Wu