37 citations · 106 across the 25 of their papers we have counts for
29 papers
Quick-View Takeaways: How Does Title Framing Influences Pattern Identification in Line Charts?
Jasmine Lim, Tapendra Pandey, Arran Zeyu Wang +1
Visual data communication in digital media is increasingly characterized by short attention spans and snapshot-based viewing, often employing line charts to convey trends and patte…
How Does Title Framing Influence Pattern Identification in Line Charts?
Jasmine Lim, Tapendra Pandey, Arran Zeyu Wang +2
Visual data communication in digital media is increasingly characterized by short attention spans and snapshot-based viewing, often employing line charts to convey trends and patte…
Guidelines Are Not Rules: Characterizing Terminologies around Visualization Design Guidelines
Anna L. Chinni, Md Dilshadur Rahman, Bon Adriel Aseniero +6
A common expectation in visualization research is that outcomes recommend how researchers and practitioners take action or make design decisions. We often express these as "guideli…
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…
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…
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…
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…
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…
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…
Characterizing Visualization Perception with Psychological Phenomena: Uncovering the Role of Subitizing in Data Visualization
Arran Zeyu Wang, Ghulam Jilani Quadri, Mengyuan Zhu +2
Understanding how people perceive visualizations is crucial for designing effective visual data representations; however, many heuristic design guidelines are derived from specific…
Understanding Bias in Perceiving Dimensionality Reduction Projections
Seoyoung Doh, Hyeon Jeon, Sungbok Shin +3
Selecting the dimensionality reduction technique that faithfully represents the structure is essential for reliable visual communication and analytics. In reality, however, practit…
Discrepancies in Mental Workload Estimation: Self-Reported versus EEG-Based Measures in Data Visualization Evaluation
Soobin Yim, Sangbong Yoo, Chanyoung Yoon +4
Accurate assessment of mental workload (MW) is crucial for understanding cognitive processes during visualization tasks. While EEG-based measures are emerging as promising alternat…
AnnoGram: An Annotative Grammar of Graphics Extension
Md Dilshadur Rahman, Md Rahat-uz- Zaman, Andrew McNutt +1
Annotations are central to effective data communication, yet most visualization tools treat them as secondary constructs -- manually defined, difficult to reuse, and loosely couple…
A Survey on Annotations in Information Visualization: Empirical Insights, Applications, and Challenges
Md Dilshadur Rahman, Bhavana Doppalapudi, Ghulam Jilani Quadri +1
We present a comprehensive survey on the use of annotations in information visualizations, highlighting their crucial role in improving audience understanding and engagement with v…
Striking the Right Balance: Systematic Assessment of Evaluation Method Distribution Across Contribution Types
Feng Lin, Arran Zeyu Wang, Md Dilshadur Rahman +2
In the rapidly evolving field of information visualization, rigorous evaluation is essential for validating new techniques, understanding user interactions, and demonstrating the e…
Shape It Up: An Empirically Grounded Approach for Designing Shape Palettes
Chin Tseng, Arran Zeyu Wang, Ghulam Jilani Quadri +1
Shape is commonly used to distinguish between categories in multi-class scatterplots. However, existing guidelines for choosing effective shape palettes rely largely on intuition a…
Our Stories, Our Data: Co-designing Visualizations with People with Intellectual and Developmental Disabilities
Keke Wu, Ghulam Jilani Quadri, Arran Zeyu Wang +4
Individuals with Intellectual and Developmental Disabilities (IDD) have unique needs and challenges when working with data. While visualization aims to make data more accessible to…
Revisiting Categorical Color Perception in Scatterplots: Sequential, Diverging, and Categorical Palettes
Chin Tseng, Arran Zeyu Wang, Ghulam Jilani Quadri +1
Existing guidelines for categorical color selection are heuristic, often grounded in intuition rather than empirical studies of readers' abilities. While design conventions recomme…
Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension
Ghulam Jilani Quadri, Arran Zeyu Wang, Zhehao Wang +3
Designers often create visualizations to achieve specific high-level analytical or communication goals. These goals require people to naturally extract complex, contextualized, and…
CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering
Hyeon Jeon, Ghulam Jilani Quadri, Hyunwook Lee +3
Visual clustering is a common perceptual task in scatterplots that supports diverse analytics tasks (e.g., cluster identification). However, even with the same scatterplot, the way…
A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space
Md Dilshadur Rahman, Ghulam Jilani Quadri, Bhavana Doppalapudi +2
Annotations play a vital role in highlighting critical aspects of visualizations, aiding in data externalization and exploration, collaborative sensemaking, and visual storytelling…
Measuring Categorical Perception in Color-Coded Scatterplots
Chin Tseng, Ghulam Jilani Quadri, Zeyu Wang +1
Scatterplots commonly use color to encode categorical data. However, as datasets increase in size and complexity, the efficacy of these channels may vary. Designers lack insight in…
Automatic Scatterplot Design Optimization for Clustering Identification
Ghulam Jilani Quadri, Jennifer Adorno Nieves, Brenton M. Wiernik +1
Scatterplots are among the most widely used visualization techniques. Compelling scatterplot visualizations improve understanding of data by leveraging visual perception to boost a…
A Case-Study on Variations Observed in Accelerometers Across Devices
Carlos Alvarado, Ghulam Jilani Quadri, Jennifer Adorno Nieves +1
Every year we grow more dependent on wearable devices to gather personalized data, such as our movements, heart rate, respiration, etc. To capture this data, devices contain sensor…