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

35 citations · 60 across the 9 of their papers we have counts for

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cs.HC2026

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…

cs.HC2026

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…

cs.HC2026★ 1 cited

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…

cs.HC2025★ 12 cited

Rethinking Citation of AI Sources in Student-AI Collaboration within HCI Design Education

Prakash Shukla, Suchismita Naik, Ike Obi +3

The growing integration of AI tools in student design projects presents an unresolved challenge in HCI education: how should AI-generated content be cited and documented? Tradition…

cs.HC2025★ 1 cited

Tracing the Invisible: Understanding Students' Judgment in AI-Supported Design Work

Suchismita Naik, Prakash Shukla, Ike Obi +3

As generative AI tools become integrated into design workflows, students increasingly engage with these tools not just as aids, but as collaborators. This study analyzes reflection…

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…