collaborators

5 papers

cs.HC2026

Impact of Expertise and Trust on AI-assisted Work

Qianou Ma, Pranav Khape, Rock Pang +4

Artificial intelligence (AI) agents promise to extend what users can accomplish beyond their existing expertise, but they also raise the risk of producing plausible-looking work th…

cs.HC2026

From Review to Reuse: How Post-Task Workflow Can Support Human-AI Agent Interaction

Zekun Wu, Xinru Wang, Rock Yuren Pang +2

AI agents can automate tasks by turning a single natural-language request into a multi-step process spanning tools, files, and applications. Users are often left to judge that proc…

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

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.HC2026

GeoVisA11y: An AI-based Geovisualization Question-Answering System for Screen-Reader Users

Chu Li, Rock Yuren Pang, Arnavi Chheda-Kothary +4

Geovisualizations are powerful tools for communicating spatial information, but are inaccessible to screen-reader users. To address this limitation, we present GeoVisA11y, an LLM-b…