Lingyuan Li

Lingyuan Li is a Postdoctoral Fellow at the University of Texas at Austin's School of Information, affiliated with the Good Systems research initiative. Her work centers on human-centered investigations of emerging technologies including social virtual reality, digital economy platforms, gaming ecosystems, and AI systems, with emphasis on their societal and relational impacts.

Her academic credentials include:

• Ph.D. in Human-Centered Computing, Clemson University
• M.S. in Computer Science, New York University
• B.Eng. in Software Engineering, Southeast University

Li's research examines how mediated experiences reshape human interactions across digital contexts. She investigates critical issues such as consent mechanisms in virtual environments, LGBTQ+ community support in social VR, gender bias in AI systems, and the social implications of digital payment technologies. Her interdisciplinary work bridges human-computer interaction, social computing, and virtual reality design with strong focus on ethical implications and inclusive practices.

Her publication record from 2020-2024 reveals consistent contributions to understanding technology-mediated human relationships, particularly in virtual and augmented social spaces. Key thematic clusters include safety and consent in immersive environments, identity expression in digital communities, bias mitigation in AI systems, and collaborative creativity in gaming contexts, with multiple papers receiving top-tier conference recognition.

Li has earned significant recognition including:

• ACM CSCW Best Paper Honorable Mention Award (Top 3%)
• ACM CHI Best Paper Honorable Mention Award (Top 3%)
• Outstanding Ph.D. Student in Human-Centered Computing, Clemson University
• ACM SIGMM Best Social Media Reporter Award

As an active ACM SIGCHI community leader, she serves as Program Committee member for ACM CSCW 2024 and ACM CHI 2025, Web Chair for ACM GROUP 2025, and has held roles including Student Volunteer Chair for ACM IMX 2021 and Assistant to General Chairs for ACM CHI PLAY 2024. Her current research within Good Systems focuses on 'Work at the Human-AI Frontier' examining human-AI collaboration frameworks.

Her scholarly activities are centered in the Good Systems initiative at UT Austin, which develops ethically aligned AI technologies through interdisciplinary collaboration across computing, social sciences, and design disciplines.