44 citations · 75 across the 7 of their papers we have counts for
4 papers · 2 filters
What Did the AI Take On? Characterizing Cognitive Delegation in LLM Reasoning
Yoonsu Kim, Sean Kim, Kihoon Son +2
Large language models (LLMs) often perform intermediate cognitive work while carrying out users' requests, yet it remains unclear which parts users intended to delegate and how the…
When AI "Works," When Does Help Begin?: Intergenerational Support Around Older Adults' LLM Usage
Hyehyun Chu, Yuri Lee, Yeon Su Park +2
LLMs are becoming part of everyday life, including for older adults (OAs). OAs often learn digital technologies with younger family members, who have traditionally served as "warm…
Contexty: Capturing and Organizing In-situ Thoughts for Context-Aware AI Support
Yoonsu Kim, Chanbin Park, Kihoon Son +2
During complex knowledge work, people engage in iterative sensemaking: interpreting information, connecting ideas, and refining their understanding. Yet in current human-AI collabo…
"I Can't Keep Up": Accessibility Barriers in Video-Based Learning for Individuals with Borderline Intellectual Functioning
Hyehyun Chu, Seungju Kim, Chen Zhou +4
Video-based learning (VBL) has become a dominant method for learning practical skills, yet accessibility guidelines provide limited guidance for users with cognitive differences. I…