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Charts are a fundamental visualization format widely used in data analysis across research and industry. While enabling users to edit charts based on high-level intentions is of great practical value, existing methods primarily rely on…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Donglu Yang , Liang Zhang , Zihao Yue , Liangyu Chen , Yichen Xu , Wenxuan Wang , Qin Jin

AI fairy tale companions play an important role in early childhood education as an augmentation for parents' efforts to close the participation gap and boost kids' mental and language development. Existing systems are generally designed to…

Multimedia · Computer Science 2021-12-02 Ruiyang Liu , Predrag K. Nikolic

Digital art portfolios serve as impactful mediums for artists to convey their visions, weaving together visuals, audio, interactions, and narratives. However, without technical backgrounds, design students often find it challenging to…

Human-Computer Interaction · Computer Science 2023-11-27 Tao Long , Weirui Peng

Generative artificial intelligence (GenAI) has ushered in a new era for storytellers, providing a powerful tool to ignite creativity and explore uncharted narrative territories. As technology continues to advance, the synergy between human…

Human-Computer Interaction · Computer Science 2024-03-05 Ahmed Y. Radwan , Khaled M. Alasmari , Omar A. Abdulbagi , Emad A. Alghamdi

With the proliferation of data across various domains, there is a critical demand for tools that enable non-experts to derive meaningful insights without deep data analysis skills. To address this need, existing automatic fact sheet…

Human-Computer Interaction · Computer Science 2025-02-26 Minh Duc Vu , Jieshan Chen , Zhenchang Xing , Qinghua Lu , Xiwei Xu , Qian Fu

In the digital landscape, the ubiquity of data visualizations in media underscores the necessity for accessibility to ensure inclusivity for all users, including those with visual impairments. Current visual content often fails to cater to…

Human-Computer Interaction · Computer Science 2024-09-27 Qiang Xu , Thomas Hurtut

Recent years have witnessed a rapid growth of recommender systems, providing suggestions in numerous applications with potentially high social impact, such as health or justice. Meanwhile, in Europe, the upcoming AI Act mentions…

Artificial Intelligence · Computer Science 2024-07-18 Simon Delarue , Astrid Bertrand , Tiphaine Viard

Charts go hand in hand with text to communicate complex data and are widely adopted in news articles, online blogs, and academic papers. They provide graphical summaries of the data, while text explains the message and context. However,…

Human-Computer Interaction · Computer Science 2021-08-10 Shahid Latif , Zheng Zhou , Yoon Kim , Fabian Beck , Nam Wook Kim

Designing a visualization is often a process of iterative refinement where the designer improves a chart over time by adding features, improving encodings, and fixing mistakes. However, effective design requires external critique and…

Human-Computer Interaction · Computer Science 2023-03-14 Sungbok Shin , Sanghyun Hong , Niklas Elmqvist

Long documents pose many challenges to current intelligent writing systems. These include maintaining consistency across sections, sustaining efficient planning and writing as documents become more complex, and effectively providing and…

Human-Computer Interaction · Computer Science 2026-01-21 Zijian Zhang , Fangshi Du , Xingjian Liu , Pan Chen , Oliver Huang , Runlong Ye , Michael Liut , Alán Aspuru-Guzik

Charts are a powerful tool for visually conveying complex data, but their comprehension poses a challenge due to the diverse chart types and intricate components. Existing chart comprehension methods suffer from either heuristic rules or an…

Computer Vision and Pattern Recognition · Computer Science 2023-04-06 Zhi-Qi Cheng , Qi Dai , Siyao Li , Jingdong Sun , Teruko Mitamura , Alexander G. Hauptmann

Pictorial visualization seamlessly integrates data and semantic context into visual representation, conveying complex information in a manner that is both engaging and informative. Extensive studies have been devoted to developing authoring…

Artificial Intelligence · Computer Science 2023-07-04 Shishi Xiao , Suizi Huang , Yue Lin , Yilin Ye , Wei Zeng

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…

Human-Computer Interaction · Computer Science 2023-04-13 Yi Guo , Nan Cao , Ligan Cai , Yanqiu Wu , Daniel Weiskopf , Danqing Shi , Qing Chen

Hand-drawn sketches are a natural and efficient medium for capturing and conveying ideas. Despite significant advancements in controllable natural image generation, translating freehand sketches into structured, machine-readable diagrams…

Artificial Intelligence · Computer Science 2025-08-05 Cheng Tan , Qi Chen , Jingxuan Wei , Gaowei Wu , Zhangyang Gao , Siyuan Li , Bihui Yu , Ruifeng Guo , Stan Z. Li

Recent chart-authoring systems increasingly focus on natural-language input, enabling users to form a mental image of the chart they wish to create and express this intent using spoken instructions (spoken imagined-chart data). Yet these…

Human-Computer Interaction · Computer Science 2026-01-22 Nazar Ponochevnyi , Young-Ho Kim , Joseph Jay Williams , Anastasia Kuzminykh

Charts are a fundamental visualization format for structured data analysis. Enabling end-to-end chart editing according to user intent is of great practical value, yet remains challenging due to the need for both fine-grained control and…

Computer Vision and Pattern Recognition · Computer Science 2026-01-30 Shuo Li , Jiajun Sun , Zhekai Wang , Xiaoran Fan , Hui Li , Dingwen Yang , Zhiheng Xi , Yijun Wang , Zifei Shan , Tao Gui , Qi Zhang , Xuanjing Huang

Recent multimodal LLMs have shown promise in chart-based visual question answering, but their performance declines sharply on unannotated charts-those requiring precise visual interpretation rather than relying on textual shortcuts. To…

Artificial Intelligence · Computer Science 2026-01-08 Rachneet Kaur , Nishan Srishankar , Zhen Zeng , Sumitra Ganesh , Manuela Veloso

In argumentative writing, writers must brainstorm hierarchical writing goals, ensure the persuasiveness of their arguments, and revise and organize their plans through drafting. Recent advances in large language models (LLMs) have made…

Human-Computer Interaction · Computer Science 2023-07-31 Zheng Zhang , Jie Gao , Ranjodh Singh Dhaliwal , Toby Jia-Jun Li

This study presents a theory-inspired visual narrative generative system that integrates conceptual principles-comic authoring idioms-with generative and language models to enhance the comic creation process. Our system combines human…

Artificial Intelligence · Computer Science 2024-09-27 Yi-Chun Chen , Arnav Jhala

Automated chart design has seen significant advancements with the emergence of Large-Language Models (LLMs), which offer a practical solution for generating charts. However, LLMs frequently introduce possibly critical design failures, such…

Human-Computer Interaction · Computer Science 2026-01-08 Yao Wang , Jiarong Pan , Danqing Shi , Zhiming Hu , Antti Oulasvirta , Andreas Bulling