activity
20232026
most citedShould AI Mimic People? Understanding AI-Supported Writing Technology Among Black Users

4 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.HC2026

Visible to the Court: How AI Is (and Isn't) Litigated in U.S. Federal Court Opinions

Julie Yu, Rock Yuren Pang, Jevan Hutson +1

In the United States, artificial intelligence (AI) is rapidly deployed amid limited federal regulation. With courts become a recurring forum in which AI-related practices are scrut…

cs.HC2026

Regulating AI: Where U.S. State Policy and HCI (Mis)align

Nino Migineishvili, Alice Gao, Adinawa Adjagbodjou +3

Artificial intelligence (AI) technologies are increasingly adopted into everyday life, with most investment and development concentrated in the U.S. In response to rapid AI integra…

cs.HC2026

Interrogating Design Homogenization in Web Vibe Coding

Donghoon Shin, Alice Gao, Rock Yuren Pang +3

Generative AI is known for its tendency to homogenize, often reproducing dominant style conventions found in training data. However, it remains unclear how these homogenizing effec…

cs.HC2025

Passing the Buck to AI: How Individuals' Decision-Making Patterns Affect Reliance on AI

Katelyn Xiaoying Mei, Rock Yuren Pang, Alex Lyford +2

Psychological research has identified different patterns individuals have while making decisions, such as vigilance (making decisions after thorough information gathering), hypervi…

cs.HC2025★ 4 cited

Should AI Mimic People? Understanding AI-Supported Writing Technology Among Black Users

Jeffrey Basoah, Jay L. Cunningham, Erica Adams +6

AI-supported writing technologies (AISWT) that provide grammatical suggestions, autocomplete sentences, or generate and rewrite text are now a regular feature integrated into many…

cs.HC2024

BLIP: Facilitating the Exploration of Undesirable Consequences of Digital Technologies

Rock Yuren Pang, Sebastin Santy, René Just +1

Digital technologies have positively transformed society, but they have also led to undesirable consequences not anticipated at the time of design or development. We posit that ins…