collaborators

5 papers

cs.HC2026

Evaluating SAT Solver Metrics as Predictors of Human-Perceived Nonogram Difficulty

Changdao He, Yibing Ju, Jonathan Calver +1

Algorithmic solver effort is often assumed to align with perceived puzzle difficulty, but this assumption is rarely tested against human solving data. We evaluate this assumption f…

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

Framing an AI with Values Reduces AI Reliance in AI-supported Writing Tasks

Alice Gao, Andrew N. Meltzoff, Maarten Sap +1

Despite a global user base adopting large language models (LLMs) for daily writing tasks, model suggestions tend to align with Western values. Research has shown users commonly acc…

cs.CL2026

Training Computer Use Agents to Assess the Usability of Graphical User Interfaces

Alice Gao, Weixi Tong, Rishab Vempati +4

Usability testing with experts and potential users can assess the effectiveness, efficiency, and user satisfaction of graphical user interfaces (GUIs) but doing so remains a costly…

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…