6 papers
Situatedness in Visualization Design: Making Unresolved Work Actionable
Paul C. Parsons, Prakash Shukla, Phuong Bui +2
Visualization design often proceeds under unresolved conditions---goals shift, data remain provisional, stakeholder needs evolve, and several plausible directions may remain availa…
Design Knowledge in Data Visualization: Mapping the Epistemic Landscape
Paul C. Parsons, Colin M. Gray, Ali Baigelenov
Data visualization research has developed many influential forms of design knowledge, including perceptual principles, design guidelines, process models, and formalized representat…
Talking Inspiration: A Discourse Analysis of Data Visualization Podcasts
Ali Baigelenov, Prakash Shukla, Phuong Bui +1
Data visualization practitioners routinely invoke inspiration, yet we know little about how it is constructed in public conversations. We conduct a discourse analysis of 31 episode…
De-skilling, Cognitive Offloading, and Misplaced Responsibilities: Potential Ironies of AI-Assisted Design
Prakash Shukla, Phuong Bui, Sean S Levy +3
The rapid adoption of generative AI (GenAI) in design has sparked discussions about its benefits and unintended consequences. While AI is often framed as a tool for enhancing produ…
Are Cognitive Biases as Important as they Seem for Data Visualization?
Ali Baigelenov, Prakash Shukla, Zixu Zhang +1
Research on cognitive biases and heuristics has become increasingly popular in the visualization literature in recent years. Researchers have studied the effects of biases on visua…
How Visualization Designers Perceive and Use Inspiration
Ali Baigelenov, Prakash Shukla, Paul Parsons
Inspiration plays an important role in design, yet its specific impact on data visualization design practice remains underexplored. This study investigates how professional visuali…