37 citations · 150 across the 23 of their papers we have counts for
8 papers · 1 filter
Empowering People with Intellectual and Developmental Disabilities through Cognitively Accessible Visualizations
Keke Wu, Danielle Albers Szafir
Data has transformative potential to empower people with Intellectual and Developmental Disabilities (IDD). However, conventional data visualizations often rely on complex cognitiv…
Effects of data distribution and granularity on color semantics for colormap data visualizations
Clementine Zimnicki, Chin Tseng, Danielle Albers Szafir +1
To create effective data visualizations, it helps to represent data using visual features in intuitive ways. When visualization designs match observer expectations, visualizations…
A Computational Design Pipeline to Fabricate Sensing Network Physicalizations
S. Sandra Bae, Takanori Fujiwara, Anders Ynnerman +3
Interaction is critical for data analysis and sensemaking. However, designing interactive physicalizations is challenging as it requires cross-disciplinary knowledge in visualizati…
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…
TOBY: A Tool for Exploring Data in Academic Survey Papers
Tathagata Chakraborti, Jungkoo Kang, Christian Muise +4
This paper describes TOBY, a visualization tool that helps a user explore the contents of an academic survey paper. The visualization consists of four components: a hierarchical vi…
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…
Data, Data, Everywhere: Uncovering Everyday Data Experiences for People with Intellectual and Developmental Disabilities
Keke Wu, Michelle H Tran, Emma Petersen +2
Data is everywhere but may not be accessible to everyone. Conventional data visualization tools and guidelines often do not actively consider the specific needs and abilities of pe…