Problem
Research questions and friction points this paper is trying to address.
data visualization
creative design
data artists
design process
Understanding Creative Design Practices among Data Artists
🤖 AI Summary
This study addresses the unclear mechanisms underlying the creative processes and expressive form evolution of data artists. It presents the first systematic deconstruction of the end-to-end data art creation workflow through a multi-phase investigation integrating project case analyses, in-depth interviews, and task-based design experiments. The research reveals the co-evolutionary dynamics between narrative and visual forms, elucidates the pivotal roles of inspiration sources and sketch prototyping, and identifies key design trade-off strategies employed by practitioners. These findings provide a theoretical foundation and actionable design guidelines for developing AI-assisted visualization tools that support creative decision-making in data art practice.
📝 Abstract
Creative and artistic data visualizations communicate stories and invite engagement, yet how designers develop their expressive forms remains poorly understood. We investigate the design process of data artists through three complementary studies: an analysis of 40 public project accounts, artifact-anchored interviews with seven experienced data artists, and a design task-based study with eight data artists. We find that stories and visual forms develop together through data exploration, reference adaptation, sketching, and prototyping. Inspiration comes from data, existing work, everyday imagery, and personal experience. Sketches help develop mappings, while prototypes with real data can reshape representations and intended stories. Designers consider multiple possibilities but typically develop one direction at a time, partly because producing alternatives is costly. Their choices balance meaning, visual appeal, readability, and feasibility. These findings inform tools connecting stories, references, and real data, including AI assistance that supports testing and revising alternatives while preserving designers' creative judgment.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Data Art
Creative Design Process
Data Visualization
AI Assistance
Prototyping
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