collaborators

10 papers

cs.HC2026

How Do LLMs See Charts? A Comparative Study on High-Level Visualization Comprehension in Humans and LLMs

Hyotaek Jeon, Hyunwook Lee, Minjeong Shin +6

Designers often create visualizations to achieve specific high-level analytical or communication goals. These goals require people to extract complex and interconnected data patter…

cs.HC2026

Designing Annotations in Visualization: Considerations from Visualization Practitioners and Educators

Md Dilshadur Rahman, Devin Lange, Ghulam Jilani Quadri +1

Annotation is a central mechanism in visualization design that enables people to communicate key insights. Prior research has provided essential accounts of the visual forms annota…

cs.HC2026

Seeing Graphs Like Humans: Benchmarking Computational Measures and MLLMs for Similarity Assessment

Seokweon Jung, Jeongmin Rhee, Seoyoung Doh +3

Comparing graphs to identify similarities is a fundamental task in visual analytics of graph data. To support this, visual analytics systems frequently employ quantitative computat…

cs.HC2026

Redundant is Not Redundant: Automating Efficient Categorical Palette Design Unifying Color & Shape Encodings with CatPAW

Chin Tseng, Arran Zeyu Wang, Ghulam Jilani Quadri +1

Colors and shapes are commonly used to encode categories in multi-class scatterplots. Designers often combine the two channels to create redundant encodings, aiming to enhance clas…

cs.HC2025

Visual Stenography: Feature Recreation and Preservation in Sketches of Noisy Line Charts

Rifat Ara Proma, Michael Correll, Ghulam Jilani Quadri +1

Line charts surface many features in time series data, from trends to periodicity to peaks and valleys. However, not every potentially important feature in the data may correspond…

cs.HC2025

Evaluating Line Chart Strategies for Mitigating Density of Temporal Data: The Impact on Trend, Prediction, and Decision-Making

Rifat Ara Proma, Ghulam Jilani Quadri, Paul Rosen

Overplotted line charts can obscure trends in temporal data and hinder prediction. We conduct a user study comparing three alternatives-aggregated, trellis, and spiral line charts…