Let’s Get Personal: Exploring the Design of Personalized Visualizations

IEEE Visualization Conference (VIS)

Publication date: October 18, 2022

Beleicia Bullock, Shunan Guo, Eunyee Koh, Ryan A. Rossi, Fan Du, Jane Hoffswell

Media outlets often publish visualizations that can be personalized based on users' demographics, such as location, race, and age. However, the design of such personalized visualizations remains underexplored. In this work, we contribute a design space analysis of 47 public-facing articles with personalized visualizations to understand how designers structure content, encourage exploration, and present insights. We find that articles often lack explicit exploration suggestions or instructions, data notices, and personalized visual insights. We then outline three trajectories for future research: (1) explore how users choose to personalize visualizations, (2) examine how exploration suggestions and examples impact user interaction, and (3) investigate how personalization influences user insights.

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Research Area:  Adobe Research iconHuman Computer Interaction