4 citations · 4 across the 3 of their papers we have counts for
6 papers
MRPilot: Supervising and Intervening LLM-Based Multi-Robot Teams through Mixed Reality
Xiaoran Yang, Xun Qian, Yang Zhan +3
Large language models (LLMs) let users direct heterogeneous multi-robot systems (MRS) through natural language, but make task interpretation, robot assignment, and coordination dif…
Signals of AI Hallucination: Designing Hallucination-Aware Cues for Embodied Conversational Agents in VR
Xiaoran Yang, Yang Zhan, Xie He +5
LLM-powered conversational agents (CAs) often present uncertainty and provenance cues alongside their responses to help users assess response reliability and identify potential hal…
How Children Design and Reason about Trustworthy AI Chatbots
Deniz Ozturk, Jiayu Li, Daksh Pratap Singh +9
Children increasingly interact with AI chatbots, making trust calibration essential to AI literacy. Prior research has examined children's trust in AI mainly as users evaluating sy…
When Single-User-Oriented LLM-based Assistants Involve Others: A Scoping Review of Pathways, Risks, and Responses
Yulin Chen, Yang Zhan, Zhuoran Lu +1
LLM-based assistants are increasingly extending into multi-party contexts, while core operational processes for context management, personalization, identity attribution, authority…
"If I Can See You": Understanding Spatially Situated Virtual Embodiment in Close Human-AI Relationships
Yulin Chen, Yang Zhan, Qiao Jin
AI companions are increasingly used for emotional support, companionship, and intimate interaction. While prior work has examined text- and voice-based AI companionship and emergin…
Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems
Ruixuan Sun, Ruoyan Kong, Qiao Jin +1
In this study, we partition users by rating disposition - looking first at their percentage of negative ratings, and then at the general use of the rating scale. We hypothesize tha…