3 papers
cs.RO2026
How Do We Research Human-Robot Interaction in the Age of Large Language Models? A Systematic Review
Yufeng Wang, Yuan Xu, Anastasia Nikolova +4
Advances in large language models (LLMs) are profoundly reshaping the field of human-robot interaction (HRI). While prior work has highlighted the technical potential of LLMs, few…
cs.HC2026
DuetUI: A Bidirectional Context Loop for Human-Agent Co-Generation of Task-Oriented Interfaces
Yuan Xu, Shaowen Xiang, Yizhi Song +2
Large Language Models are reshaping task automation, yet remain limited in complex, multi-step real-world tasks that require aligning with vague user intent and enabling dynamic us…
cs.HC2025
Intelligent Interaction Strategies for Context-Aware Cognitive Augmentation
Xiangrong, Zhu, Yuan Xu +4
Human cognition is constrained by processing limitations, leading to cognitive overload and inefficiencies in knowledge synthesis and decision-making. Large Language Models (LLMs)…