I'm a second-year PhD student in Department of Computer Science NC State, supervised by Prof. Qiao Jin. Previously, I'm a second-year M.Eng. student in the Graduated School of Creative Science and Engineering at Waseda University, Tokyo, supervised by Prof. Hiroyasu Iwata. I also interned at Huawei and Ghelia, focusing on the intersection of artificial intelligence and human-computer interaction, particularly the development of VR/AR interaction systems.
Latest News
March 2026
CHI26 Accepted
Exitced to annouce our paper “Understanding Prompt Construction and Interaction Challenges in LLM-Based Multi-Robot Systems for Spatial Tasks” has been accepted by ACM CHI26!
January 2026
IEEE TVCG Accepted
Exitced to annouce our paper “We Care More About What It Does: Priorities and Responsibilities in VR for Children and Families” also accepted by IEEE TVCG!
December 2025
IEEE VR 2026 Accepted
My collaboration work “We Care More About What It Does: Priorities and Responsibilities in VR for Children and Families” has been accepted to IEEE VR 2026.
October 2025
Paper Won Best Short Paper Honorable Mention
Exitced to annouce our paper “From Tool to Partner: Exploring the Roles of Embodiment on AI Agent in Pair Programming” won Best Short Paper Honorable Mention at VL/HCC 2025!
July 2025
VL/HCC 2025 Accepted
My work “From Tool to Partner: Exploring the Roles of Embodiment on AI Agent in Pair Programming” has been accepted to VL/HCC 2025. Check the paper below!
Publications
Understanding Prompt Construction and Interaction Challenges in LLM-Based Multi-Robot Systems for Spatial Tasks
Xiaoran Yang, Yang Zhan, Qiao JinCHI26 EA
A qualitative study on LLM-based multi-robot systems. Our findings highlight how users prompt for coordination and reveal that gaps in system visibility necessitate better interface and prompting support.
From Tool to Partner: Exploring the Roles of Embodiment on AI Agent in Pair Programming🏅
Xiaoran Yang, Yang Zhan, Noboru Matsuda, Qiao JinVL/HCC25
To address communication challenges in AI pair programming, paper investigates the role of an embodied AI agent in supporting programming learning and improving the user experience.