activity
20192026
most citedData, Data, Everywhere: Uncovering Everyday Data Experiences for People with Intellectual and Developmental Disabilities

18 citations · 24 across the 7 of their papers we have counts for

collaborators

8 papers

cs.HC2026

Bringing Data to Life: Designing Data Characters for the Emotional Self

Diego Abarcar Calugay, Isabella Amador, Keke Wu

Journaling is a common practice for emotional expression, reflection, and processing. However, as entries accumulate, it can become difficult to interpret and compare their affecti…

cs.HC2026

What Cognitive Accessibility Reveals About Data Visualization

Keke Wu, Jinjuan Heidi Feng, Jonathan Lazar

Data visualization aims to augment human cognition and make data accessible to diverse audiences. As data increasingly shapes participation and decision-making across many domains,…

cs.HC2026

Made to Feel: How Designers Bring Emotions into Affective Visualization

Yixin Bai, Ziyi Wang, Keke Wu +1

Affective visualization is increasingly studied in visualization research, yet how designers bring emotions into their visualization work remains unexplored. This paper addresses t…

cs.HC2024★ 4 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.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★ 18 cited

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…

cs.HC2019

Designing for Mobile and Immersive Visual Analytics in the Field

Matt Whitlock, Keke Wu, Danielle Szafir

Data collection and analysis in the field is critical for operations in domains such as environmental science and public safety. However, field workers currently face data- and pla…

cs.HC2019★ 2 cited

Color Crafting: Automating the Construction of Designer Quality Color Ramps

Stephen Smart, Keke Wu, Danielle Albers Szafir

Visualizations often encode numeric data using sequential and diverging color ramps. Effective ramps use colors that are sufficiently discriminable, align well with the data, and a…