8 papers · 1 filter
A Design Study on Voice-based Interaction for Immersive Network Visualization and Analysis
Sam Yu-Te Lee, Hsin-Ai Chen, Sarah Yuniar +2
Visual network analysis leverages network visualization authoring techniques to facilitate sensemaking, serendipitous discovery, and hypothesis verification on network data. Howeve…
VArify: A Visual Analytics System for Verifying Knowledge Enhanced Large Language Model Responses in Food Science
Sam Yu-Te Lee, Yan To Linus Lam, Manami Nakagawa +1
Graph Retrieval-Augmented Generation (GraphRAG) enables Large Language Models (LLMs) to leverage structured, domain-specific knowledge graph databases for factually grounded respon…
Vibe Visualizing: How Visualization Novices Try (and Fail) to Generate and Interpret Visualizations with Conversational AI
Sam Yu-Te Lee, Yun-Hsin Kuo, Chifang Chou +3
Conversational AI has enabled users to generate and interpret visualizations through natural language, significantly lowering the technical barrier to entry. The increased accessib…
VizCopilot: Fostering Appropriate Reliance on Enterprise Chatbots with Context Visualization
Sam Yu-Te Lee, Jingya Chen, Albert Calzaretto +4
Enterprise chatbots show promise in supporting knowledge workers in information synthesis tasks by retrieving context from large, heterogeneous databases before generating answers.…
Visual Text Mining with Progressive Taxonomy Construction for Environmental Studies
Sam Yu-Te Lee, Cheng-Wei Hung, Mei-Hua Yuan +1
Environmental experts have developed the DPSIR (Driver, Pressure, State, Impact, Response) framework to systematically study and communicate key relationships between society and t…
Towards Dataset-scale and Feature-oriented Evaluation of Text Summarization in Large Language Model Prompts
Sam Yu-Te Lee, Aryaman Bahukhandi, Dongyu Liu +1
Recent advancements in Large Language Models (LLMs) and Prompt Engineering have made chatbot customization more accessible, significantly reducing barriers to tasks that previously…