4 citations · 6 across the 5 of their papers we have counts for
4 papers · 1 filter
OrchVis: Hierarchical Multi-Agent Orchestration for Human Oversight
Jieyu Zhou
We introduce OrchVis, a multi-agent orchestration framework that visualizes, verifies, and coordinates goal-driven collaboration among LLM-based agents. Through hierarchical goal a…
When Should Users Check? Modeling Confirmation Frequency in Multi-Step Agentic AI Tasks
Jieyu Zhou, Aryan Roy, Sneh Gupta +2
Existing AI agents typically execute multi-step tasks autonomously and only allow user confirmation at the end. During execution, users have little control, making the confirm-at-e…
Improving Public Service Chatbot Design and Civic Impact: Investigation of Citizens' Perceptions of a Metro City 311 Chatbot
Jieyu Zhou, Rui Shen, Yue You +3
As governments increasingly adopt digital tools, public service chatbots have emerged as a growing communication channel. This paper explores the design considerations and engageme…
Improving Interface Design in Interactive Task Learning for Hierarchical Tasks based on a Qualitative Study
Jieyu Zhou, Christopher MacLellan
Interactive Task Learning (ITL) systems acquire task knowledge from human instructions in natural language interaction. The interaction design of ITL agents for hierarchical tasks…