13 citations · 29 across the 15 of their papers we have counts for
18 papers · 1 filter
Enhanced Self-Learning with Epistemologically-Informed LLM Dialogue
Yi-Fan Cao, Kento Shigyo, Yitong Gu +6
Large Language Models (LLMs) have advanced self-learning tools, enabling more personalized interactions. However, learners struggle to engage in meaningful dialogue and process com…
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…
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…
Xavier: Toward Better Coding Assistance in Authoring Tabular Data Wrangling Scripts
Yunfan Zhou, Xiwen Cai, Qiming Shi +5
Data analysts frequently employ code completion tools in writing custom scripts to tackle complex tabular data wrangling tasks. However, existing tools do not sufficiently link the…
Reflection on Data Storytelling Tools in the Generative AI Era from the Human-AI Collaboration Perspective
Haotian Li, Yun Wang, Huamin Qu
Human-AI collaborative tools attract attentions from the data storytelling community to lower the expertise barrier and streamline the workflow. The recent advance in large-scale g…
Understanding Screenwriters' Practices, Attitudes, and Future Expectations in Human-AI Co-Creation
Yuying Tang, Haotian Li, Minghe Lan +2
With the rise of AI technologies and their growing influence in the screenwriting field, understanding the opportunities and concerns related to AI's role in screenwriting is essen…
InterLink: Linking Text with Code and Output in Computational Notebooks
Yanna Lin, Leni Yang, Haotian Li +2
Computational notebooks, widely used for ad-hoc analysis and often shared with others, can be difficult to understand because the standard linear layout is not optimized for readin…
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…
InclusiViz: Visual Analytics of Human Mobility Data for Understanding and Mitigating Urban Segregation
Yue Yu, Yifang Wang, Yongjun Zhang +2
Urban segregation refers to the physical and social division of people, often driving inequalities within cities and exacerbating socioeconomic and racial tensions. While most stud…
Constraint representation towards precise data-driven storytelling
Yu-Zhe Shi, Haotian Li, Lecheng Ruan +1
Data-driven storytelling serves as a crucial bridge for communicating ideas in a persuasive way. However, the manual creation of data stories is a multifaceted, labor-intensive, an…
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…
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…