6 citations · 7 across the 11 of their papers we have counts for
12 papers
Reflexis: Supporting Reflexivity and Rigor in Collaborative Qualitative Analysis through Design for Deliberation
Runlong Ye, Oliver Huang, Patrick Yung Kang Lee +3
Reflexive Thematic Analysis (RTA) is a critical method for generating deep interpretive insights. Yet its core tenets, including researcher reflexivity, tangible analytical evoluti…
Do MLLMs See What We See? Analyzing Visualization Literacy Barriers in AI Systems
Mengli, Duan, Yuhe +3
Multimodal Large Language Models (MLLMs) are increasingly used to interpret visualizations, yet little is known about why they fail. We present the first systematic analysis of bar…
Narrative Scaffolding: A Narrative-First Framework for Data-Driven Sensemaking
Oliver Huang, Muhammad Fatir, Steven Luo +3
When exploring data, analysts construct narratives about what the data means by asking questions, generating visualizations, reflecting on patterns, and revising their interpretati…
Large Language Lovers: Lived Experiences of Negotiating Agency and Platform Control in AI Companionship
Patrick Yung Kang Lee, Jessica Y. Bo, Zixin Zhao +6
Individuals are turning to increasingly anthropomorphic, general-purpose chatbots for AI companionship, rather than roleplay-specific platforms. However, not much is known about ho…
Theory is Shapes
Matthew Varona, Maryam Hedayati, Matthew Kay +1
"Theory figures" are a staple of theoretical visualization research. Common shapes such as Cartesian planes and flowcharts can be used not only to explain conceptual contributions,…
The State of the Art in Visualization Literacy
Matthew Varona, Karen Bonilla, Maryam Hedayati +4
Research in visualization literacy explores the skills required to engage with visualizations. This state-of-the-art report surveys the current literature in visualization literacy…
Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities
Oliver Huang, Carolina Nobre
Analysts increasingly explore data through evolving, narrative-driven inquiries, moving beyond static dashboards and predefined metrics as their questions deepen and shift. As thes…
ViStruct: Simulating Expert-Like Reasoning Through Task Decomposition and Visual Attention Cues
Oliver Huang, Carolina Nobre
Data visualization tasks often require multi-step reasoning, and the interpretive strategies experts use, such as decomposing complex goals into smaller subtasks and selectively at…
From Reality to Recognition: Evaluating Visualization Analogies for Novice Chart Comprehension
Oliver Huang, Patrick Lee, Carolina Nobre
Novice learners often have difficulty learning new visualization types because they tend to interpret novel visualizations through the mental models of simpler charts they have pre…
ScholarMate: A Mixed-Initiative Tool for Qualitative Knowledge Work and Information Sensemaking
Runlong Ye, Patrick Yung Kang Lee, Matthew Varona +2
Synthesizing knowledge from large document collections is a critical yet increasingly complex aspect of qualitative research and knowledge work. While AI offers automation potentia…
Do You "Trust" This Visualization? An Inventory to Measure Trust in Visualizations
Huichen Will Wang, Kylie Lin, Andrew Cohen +4
Trust plays a critical role in visual data communication and decision-making, yet existing visualization research employs varied trust measures, making it challenging to compare an…
The Design Space of Recent AI-assisted Research Tools for Ideation, Sensemaking, and Scientific Creativity
Runlong Ye, Matthew Varona, Oliver Huang +3
Generative AI (GenAI) tools are radically expanding the scope and capability of automation in knowledge work such as academic research. While promising for augmenting cognition and…