How Visualization Designers Perceive and Use Inspiration

2025-02-21

AI Summary

This study investigates how professional visualization designers perceive, evaluate, and apply inspiration—and how it functions within their design practice. Through semi-structured interviews with 21 designers, thematic coding, and cross-case analysis, we systematically identify three primary sources of inspiration: existing visualization artifacts, real-world phenomena, and personal experience. We further find that designers predominantly employ *reconstruction*—rather than direct replication—to achieve originality in inspiration transfer. Based on these findings, we propose a dual-mode “active–passive” inspiration practice model, elucidating the dynamic, iterative interplay between inspiration acquisition and transformation. This work extends cognitive theories of visualization design by grounding inspiration processes in empirical practice, and provides evidence-based insights for developing design-support tools and informing visualization education curricula. (149 words)

Technology Category

• Cognitive Modeling & Cognitive Systems: Computational Creativity
• Computer Vision: Visual Reasoning & Symbolic Representations
• Knowledge Representation and Reasoning: Geometric, Spatial, and Temporal Reasoning

Application Category

• Web Mining and Content Analysis: Web data visualization
• User Modeling, Personalization and Recommendation: Practical large-scale studies of user experience
• Graph Algorithms and Modeling for the Web: Representation, reconstruction, and subgraph or motif discovery in Web-related graphs

Abstract

Inspiration plays an important role in design, yet its specific impact on data visualization design practice remains underexplored. This study investigates how professional visualization designers perceive and use inspiration in their practice. Through semi-structured interviews, we examine their sources of inspiration, the value they place on them, and how they navigate the balance between inspiration and imitation. Our findings reveal that designers draw from a diverse array of sources, including existing visualizations, real-world phenomena, and personal experiences. Participants describe a mix of active and passive inspiration practices, often iterating on sources to create original designs. This research offers insights into the role of inspiration in visualization practice, the need to expand visualization design theory, and the implications for the development of visualization tools that support inspiration and for training future visualization designers.

Problem

• Impact of inspiration on visualization design
• Sources and practices of design inspiration
• Balance between inspiration and imitation

Innovation

• semi-structured interviews analysis
• diverse inspiration sources utilization
• original design iteration focus