181 citations · 325 across the 23 of their papers we have counts for
20 papers · 1 filter
Live Artifacts: Authoring Dynamic Media via Live Layers Encapsulating Generative Specifications
Leixian Shen, Haotian Li, Hugo Romat +3
We frame Live Artifacts as a class of persistent generative media between static assets and interactive software. Unlike conventional generative outputs that collapse into static f…
StoryLensEdu: Personalized Learning Report Generation through Narrative-Driven Multi-Agent Systems
Leixian Shen, Yan Luo, Rui Sheng +4
Personalized feedback plays an important role in self-regulated learning (SRL), helping students track progress and refine their strategies. However, current common solutions, such…
Interaction-Augmented Instruction: Modeling the Synergy of Prompts and Interactions in Human-GenAI Collaboration
Leixian Shen, Yifang Wang, Huamin Qu +2
Text prompt is the most common way for human-generative AI (GenAI) communication. Though convenient, it is challenging to convey fine-grained and referential intent. One promising…
NeuroSync: Intent-Aware Code-Based Problem Solving via Direct LLM Understanding Modification
Wenshuo Zhang, Leixian Shen, Shuchang Xu +4
Conversational LLMs have been widely adopted by domain users with limited programming experience to solve domain problems. However, these users often face misalignment between thei…
SceneLoom: Communicating Data with Scene Context
Lin Gao, Leixian Shen, Yuheng Zhao +3
In data-driven storytelling contexts such as data journalism and data videos, data visualizations are often presented alongside real-world imagery to support narrative context. How…
How Does Empirical Research Facilitate Creation Tool Design? A Data Video Perspective
Leixian Shen, Leni Yang, Haotian Li +3
Empirical research in creative design deepens our theoretical understanding of design principles and perceptual effects, offering valuable guidance for innovating creation tools. H…
Prompting Generative AI with Interaction-Augmented Instructions
Leixian Shen, Haotian Li, Yifang Wang +2
The emergence of generative AI (GenAI) models, including large language models and text-to-image models, has significantly advanced the synergy between humans and AI with not only…
Reflecting on Design Paradigms of Animated Data Video Tools
Leixian Shen, Haotian Li, Yun Wang +1
Animated data videos have gained significant popularity in recent years. However, authoring data videos remains challenging due to the complexity of creating and coordinating diver…
Composing Data Stories with Meta Relations
Haotian Li, Lu Ying, Leixian Shen +3
To facilitate the creation of compelling and engaging data stories, AI-powered tools have been introduced to automate the three stages in the workflow: analyzing data, organizing f…
Debugging Defective Visualizations: Empirical Insights Informing a Human-AI Co-Debugging System
Shuyu Shen, Sirong Lu, Leixian Shen +1
Visualization authoring is an iterative process requiring users to adjust parameters to achieve desired aesthetics. Due to its complexity, users often create defective visualizatio…
Data Playwright: Authoring Data Videos with Annotated Narration
Leixian Shen, Haotian Li, Yun Wang +3
Creating data videos that effectively narrate stories with animated visuals requires substantial effort and expertise. A promising research trend is leveraging the easy-to-use natu…
Narrative Player: Reviving Data Narratives with Visuals
Zekai Shao, Leixian Shen, Haotian Li +4
Data-rich documents are commonly found across various fields such as business, finance, and science. However, a general limitation of these documents for reading is their reliance…
From Data to Story: Towards Automatic Animated Data Video Creation with LLM-based Multi-Agent Systems
Leixian Shen, Haotian Li, Yun Wang +1
Creating data stories from raw data is challenging due to humans' limited attention spans and the need for specialized skills. Recent advancements in large language models (LLMs) o…
NotePlayer: Engaging Jupyter Notebooks for Dynamic Presentation of Analytical Processes
Yang Ouyang, Leixian Shen, Yun Wang +1
Diverse presentation formats play a pivotal role in effectively conveying code and analytical processes during data analysis. One increasingly popular format is tutorial videos, pa…
PyGWalker: On-the-fly Assistant for Exploratory Visual Data Analysis
Yue Yu, Leixian Shen, Fei Long +2
Exploratory visual data analysis tools empower data analysts to efficiently and intuitively explore data insights throughout the entire analysis cycle. However, the gap between com…
Data Player: Automatic Generation of Data Videos with Narration-Animation Interplay
Leixian Shen, Yizhi Zhang, Haidong Zhang +1
Data visualizations and narratives are often integrated to convey data stories effectively. Among various data storytelling formats, data videos have been garnering increasing atte…
WonderFlow: Narration-Centric Design of Animated Data Videos
Yun Wang, Leixian Shen, Zhengxin You +5
Creating an animated data video enriched with audio narration takes a significant amount of time and effort and requires expertise. Users not only need to design complex animations…
Towards Natural Language-Based Visualization Authoring
Yun Wang, Zhitao Hou, Leixian Shen +5
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 promisi…
Visual Data Analysis with Task-based Recommendations
Leixian Shen, Enya Shen, Zhiwei Tai +2
General visualization recommendation systems typically make design decisions for the dataset automatically. However, most of them can only prune meaningless visualizations but fail…
Towards Natural Language Interfaces for Data Visualization: A Survey
Leixian Shen, Enya Shen, Yuyu Luo +5
Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary input modality to direct manipulation for visual analytics can provide an engaging user expe…