Ruijia Guan
Scholar

Ruijia Guan

Google Scholar ID: jJCoj4YAAAAJ
University of Michigan
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Citations & Impact
All-time
Citations
16
 
H-index
2
 
i10-index
1
 
Publications
5
 
Co-authors
0
 
Contact
Emailrjguan@stanford.eduCVOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
2 items
Designing AI Tools for Clinical Care Teams to Support Serious Illness Conversations with Older Adults in the Emergency Department
2025
Cited
0
Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Work
2025
Cited
0
Resume
Academic Achievements
  • Published papers:
  • - Seeing like an AI: How LLMs apply (and misapply) Wikipedia neutrality norms, International AAAI Conference on Web and Social Media (ICWSM 2026)
  • - Exploring MR-enhanced collaborative AI: Eliciting team perceptions and design considerations for the future of work, ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW 2025)
  • - Virtually the same or realistically different: Do real-world robots differ from their virtual representations? ACM/IEEE International Conference on Human-Robot Interaction (HRI 2025)
  • - VisQuestions: Constructing Evaluations for Communicative Visualizations, ACM Conference on Human Factors in Computing Systems, Extended Abstracts (CHI EA 2025)
  • - Computational models suggest that human memory judgments exhibit interference due to the use of overlapping representations, Psychological Review (2024)
  • Submitted papers:
  • - Structuring Strategic and Proactive AI Agents for Collective Deliberation, U-M Cog Sci Honor Thesis
  • - Large Language Model-driven Mixed Strategy Framework for Social Navigation, Submitted to 2025 International Conference on Intelligent Robots and Systems (IROS)
Research Experience
  • Worked with Professors Eytan Adar and Michael Nebeling at the University of Michigan. Also had industry experience as an AI Product Manager intern.
Education
  • M.S., Symbolic Systems, Stanford University; B.S., Computer Science & Cognitive Science, University of Michigan (Advised by Professors Eytan Adar and Michael Nebeling)
Background
  • First-year MS student in Symbolic Systems at Stanford University. Research focuses on human-computer interaction and social computing. Integrates behavioral experiments, human-centered AI, and computational modeling to study how interactive systems can foster collaboration and enhance collective decision-making.
Miscellany
  • Interests include indoor climbing, playing pickleball, reading, traveling, drinking boba, and spending time with her two cats. She is also a musical theater enthusiast.