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20202026
most citedDe-skilling, Cognitive Offloading, and Misplaced Responsibilities: Potential Ironies of AI-Assisted Design

35 citations · 48 across the 9 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.HC2025

Identifying Framing Practices in Visualization Design Through Practitioner Reflections

Prakash Shukla, Paul Parsons

Framing -- how designers define and reinterpret problems, shape narratives, and guide audience understanding -- is central to design practice. Yet in visualization research, framin…

cs.HC2025★ 1 cited

Beyond Problem Solving: Framing and Problem-Solution Co-Evolution in Data Visualization Design

Paul C. Parsons, Prakash Chandra Shukla

Visualization design is often described as the process of solving a well-defined problem by navigating a design space. While existing visualization design models have provided valu…

cs.HC2025★ 5 cited

Coping with Uncertainty in UX Design Practice: Practitioner Strategies and Judgment

Prakash Shukla, Phuong Bui, Paul Parsons

The complexity of UX design practice extends beyond ill-structured design problems to include uncertainties shaped by shifting stakeholder priorities, team dynamics, limited resour…

cs.HC2025★ 35 cited

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…

cs.HC2025

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…

cs.HC2025★ 6 cited

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…