George Wang
About Me

I am an incoming PhD student in Technology, AI and Society at Stony Brook University, within the College of Engineering and Applied Sciences, where I will be advised by Ben Zhang.

I am a researcher working at the intersection of human-computer interaction, learning science, and AI-supported experience design. My work looks at how multimodal systems can support everyday learning and creation, with a focus on translation workflows, mixed-reality authoring, and responsible AI in educational settings.

Current projects include multi-agent frameworks for translation quality, spatial window management for productivity in extended reality, and data informed feedback loops for creative thinking.

Research keywords

Human-Computer Interaction, Multi-Modality AI, Adaptive Environments, Accessibility, Natural Language Processing, Learning Analytics.

News
2026
Admitted to the PhD program at Stony Brook University.
Apr 2026
2025
Home environment and students creative thinking paper accepted to AERA 2026.
Nov 2025
DuoZone submitted to IMWUT 2025 for review.
Oct 2025
MAATS entered second round review at AAAI 2026.
Oct 2025
Started thesis on VR support for blind and low vision indoor navigation.
Sep 2025
Invited talk at NYU on NotebookLM for literature review workflows.
Oct 2025
Joined the Visualization Imaging and Data Analysis Center as an AR VR research assistant.
Jul 2025
Joined the Educational Communication Technology group at NYU as a qualitative research assistant.
Jun 2025
Joined the NYU Silver School of Social Work as a graduate research assistant on aging and financial exploitation.
Apr 2025
2024
Led a workshop series at NYU Bobst Library on responsible technology, accountability, and privacy.
Feb 2024
Started MA studies in Learning Science and Experience Design at NYU.
Aug 2024
2023
Roundtable talk at CUHK on AI as a learning partner for text, vision, and data.
Jan 2023
Workshop at CUHK on generative platforms for presentations.
Dec 2023
Research Highlights
* Equal contribution, † corresponding author
Touvigation: Embodied Progressive Guidance for Blind and Low-Vision Users
Wang, G. X.; Hu, J.; Wen, S.; Xie, J.; Qian, J.
Manuscript draft, 2026
Accessibility Blind and Low-Vision Assistive Navigation Embodied Interaction Multimodal LLM
CHORUS: Effort-Aware Multi-Agent Human-AI Collaboration for Professional Translation
Wang, G. X.; Hu, J.; Wu, G.; Qian, J.
Under review, ICMI 2026
Translation Human-AI Collaboration Multi-Agent Professional Workflow MQM
DuoZone: User-centric, LLM-guided Mixed-Initiative Virtual Window Management for XR Productivity*
Wang, X.*; Qian, J.*; Li, X.; Wu, G.; Castelo Quispe, S.; Silva, C.
Under review, ISMAR 2026
XR Mixed-Initiative LLM Productivity Workspace
Home Environment and Students’ Creative Thinking: An Educational Data Science Analysis of PISA 2022
Wang, X.; Shen, Y.
AERA 2026 · Accepted
Educational Data Science PISA 2022 Creative Thinking Learning Analytics
MAATS: A Multi-Agent Automated Translation System Based on MQM Evaluation
Wang, X.; Hu, J.; Ali, S.
Under review, AAAI 2026
Cognitive Modeling Machine Translation Multi-Agent MQM LLM
The Hidden Pitfalls of E Dictionaries: How Inaccuracies Affect Chinese Language Users
Wang, X., Meng, F.F., & Zhang, S.Y., Li, L†.
AsiaLex 2023, Accepted
lexicography second language learning educational data