2026
CHI 2026
Designing AI Peers for Collaborative Mathematical Problem Solving with Middle School Students: A Participatory Design Study
2025
L@S 2025
Will Your Next Pair Programming Partner Be Human? An Empirical Evaluation of Generative AI as a Collaborative Teammate in a Semester-Long Classroom Setting
CEAI
Understanding the Practices, Perceptions, and (Dis)Trust of Generative AI among Instructors: A Mixed-methods Study in the U.S. Higher Education
CSCW 2025
MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming
2024
ICML 2024
CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents
L@S 2024
Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study
CHI 2024
Profiling the Dynamics of Trust & Distrust in Social Media
ICML 2024
The Good, The Bad, and Why: Unveiling Emotions in Generative AI
2023
CHI 2023
Synthetic Lies: Understanding AI-Generated Misinformation and Evaluating Algorithmic and Human Solutions
2022
CHI 2022
Shifting Trust: Examining How Trust and Distrust Emerge, Transform, and Collapse in COVID-19 Information Seeking
IEEE VIS
Visualization Design Practices in a Crisis: Behind the Scenes with COVID-19 Dashboard Creators
2021
TVCG
Sequence Braiding: Visual Overviews of Temporal Event Sequences and Attributes
2020
CHI EA 2020
Eat4Thought: A Design of Food Journaling
CHI 2020
Understanding the Use of Crisis Informatics Technology among Older Adults
2019
CSCW 2019
Caring for Alzheimer's Disease Caregivers: A Qualitative Study Investigating Opportunities for Exergame Innovation
TVCG
IDMVis: Temporal Event Sequence Visualization for Type 1 Diabetes Treatment Decision Support
Lab News
- [Jan 2026] Two full papers on AI peer learning in STEM education and AI in mental health have been accepted by ACM CHI'26!
- [Aug 2025] Received a three-year NSF grant to examine how to enhance AI literacy and resilience through intergenerational digital storytelling among older adults!
- [Apr 2025] Received a grant from COVA CCI (Commonwealth Cyber Initiative) to examine integrated security and privacy solutions for multi-modal AI.
- [Mar 2025] Received SEED Funding from William & Mary to explore K-12 teachers' capacity to integrate AI into Virginia Disciplinary Standards of Learning.
- [Jan 2025] Received a grant from The General Assembly of Virginia to design an interactive AI-enabled learning system for Alzheimer's Disease awareness and care.
- [Dec 2024] Our paper "MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming" got accepted by CSCW'25 (Bergen, Norway)!
- [Aug 2024] Received a 3-year NSF RITEL grant (~$900,000) to develop LLM-powered systems for fostering mathematical modeling competencies through collaborative learning!
- [May 2024] Three papers focused on LLM × HCI got accepted by ICML! Topics include trust in LLM, Emotions in Generative AI, and competition dynamics of LLM-based agents.
- [Apr 2024] Dr. Zhang received the 2024-25 W&M FRC Faculty Research Grant for research on the ethics of Generative AI and LLMs in CS education.
- [Apr 2024] Congrats to Wenhan Lyu and Yimeng Wang (1st year PhD students) for their paper "Evaluating the Effectiveness of LLMs in Introductory Computer Science Education" accepted at L@S '24!
- [Jan 2024] Our paper "Profiling the Dynamics of Trust & Distrust in Social Media" was accepted to CHI'24!
- [Sept 2023] Awarded grants from Microsoft Research (emotional intelligence + LLMs) and The Society of 1918 (conversational AI for mental health).
- [Apr 2023] Our CHI'23 paper "What Do We Mean When We Talk about Trust in Social Media?" won a Best Paper Award! 🏆
- [Apr 2023] Our CHI'23 paper "Synthetic Lies: Understanding AI-Generated Misinformation" received a Best Paper Honorable Mention! 🏅
- [Aug 2022] Dr. Zhang was named a "Rising Star in EECS" 2022!