activity
20222024
most citedDo You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension

37 citations · 121 across the 12 of their papers we have counts for

collaborators

12 papers

cs.HC20244 cited

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…

cs.HC20246 cited

PD-Insighter: A Visual Analytics System to Monitor Daily Actions for Parkinson's Disease Treatment

Jade Kandel, Chelsea Duppen, Qian Zhang +8

People with Parkinson's Disease (PD) can slow the progression of their symptoms with physical therapy. However, clinicians lack insight into patients' motor function during daily l…

cs.HC20243 cited

Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning

Matt-Heun Hong, Zachary N. Sunberg, Danielle Albers Szafir

Quality colormaps can help communicate important data patterns. However, finding an aesthetically pleasing colormap that looks "just right" for a given scenario requires significan…

cs.HC202437 cited

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…

cs.HC2023

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…

cs.HC2023

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…