3 papers
cs.HC2026
Understanding Parents' Desires in Moderating Children's Interactions with GenAI Chatbots through LLM-Generated Probes
John Driscoll, Yulin Chen, Viki Shi +3
This paper studies how parents want to moderate children's interactions with Generative AI chatbots, with the goal of informing the design of future GenAI parental control tools. W…
cs.HC2025
Towards Human-Centered RegTech: Unpacking Professionals' Strategies and Needs for Using LLMs Safely
Siying Hu, Yaxing Yao, Zhicong Lu
Large Language Models are profoundly changing work patterns in high-risk professional domains, yet their application also introduces severe and underexplored compliance risks. To i…
cs.HC2025
"I Always Felt that SomethingWasWrong.": Understanding Compliance Risks and Mitigation Strategies when Highly-Skilled Compliance Knowledge Workers Use Large Language Models
Siying Hu, Piaohong Wang, Ka I Chan +2
The rapid advancement of Large Language Models (LLMs) has transformed knowledge-intensive has led to its widespread usage by knowledge workers to enhance their productivity. As the…