Moving Toward the Metaverse: Children’s Avatar Making in Online Social Games
Proceedings of the 2025 ACM Conference on Human Factors in Computing Systems (CHI 2025). Acceptance rate: 25%.
Amanda Baughan
Amanda Baughan is a Product Manager of AI & UX at Maincode. She previously earned her PhD in Computer Science from the University of Washington, where she studied human–computer interaction and social computing at the intersection of design, psychology, and technology. Her research explored how technology foregrounds or prevents connection online, and has been featured by the Wall Street Journal, Scientific American, and NPR. She was previously a UX Researcher at Google Maps and AI2’s Semantic Scholar, and she continues to teach design ethics at the University of Washington Information School.
Publications
A Temporal Model for Supporting Hard Conversations Online Through Design
Proceedings of the ACM on Human-Computer Interaction (CSCW), 8(CSCW2):1-22, 2024.
Investigating Attention and Normative Dissociation in Children's Online Social Games
Proceedings of the 23rd Annual ACM Interaction Design and Children Conference (IDC 2024). Acceptance rate: 29%.
Shame on Who? Experimentally Reducing Shame During Political Arguments on Twitter
Proceedings of the ACM on Human-Computer Interaction, 6(CSCW2):1-18, 2022.
'I Don’t Even Remember What I Read': How Design Influences Dissociation on Social Media
Proceedings of the 2022 ACM conference on human factors in computing systems (CHI 2022). Acceptance rate: 24.7%.
Monitoring Screen Time or Redesigning It? Two Approaches to Supporting Intentional Social Media Use
Proceedings of the 2022 ACM conference on human factors in computing systems (CHI 2022). Acceptance rate: 24.7%.
Someone is Wrong on the Internet: Having Hard Conversations in Online Spaces
Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1):1-22, 2021.