| 2026 | AIED | DrawSim-PD: Simulating Student Science Drawings to Support NGSS-Aligned Teacher Diagnostic Reasoning. | Arijit Chakma, Peng He, Zeyuan Wang, Honglu Liu, Tingting Li, Tiffany D. Do, Feng Liu |
| 2026 | CHI | Meet ACM Transactions on Computer-Human Interaction: Submitting, Getting Accepted, and Being Involved. | Kasper Hornbk, Tiffany D. Do, Irmandy Wicaksono, Sanchari Das, Christopher Frauenberger |
| 2025 | CHI | Exploring AI-Driven Affective Avatars for Autistic Adults and Adults with Social Anxiety in Virtual Meetings. | Tiffany D. Do, Martez E. Mott, John C. Tang, Sasa Junuzovic, Ann Paradiso, Edward Cutrell |
| 2025 | CHI | PAIGE: Examining Learning Outcomes and Experiences with Personalized AI-Generated Educational Podcasts. | Tiffany D. Do, Usama Bin Shafqat, Elsie Ling, Nikhil Sarda |
| 2025 | CSCW | Virtual Interviewers, Real Results: Exploring AI-Driven Mock Technical Interviews on Student Readiness and Confidence. | Nathalia Gomez, S. Sue Batham, Matias Volonte, Tiffany D. Do |
| 2024 | VR | The Influence of Mixed-Gender Avatar Facial Features on Racial Perception: Insights from the VALID Avatar Library. | Tiffany D. Do, Camille Isabella Protko, Ryan P. McMahan |
| 2024 | VR | Lessons Learned in Designing Racially Diverse Androgynous Avatars. | Camille Isabella Protko, Ryan P. McMahan, Tiffany D. Do |
| 2023 | ISMAR | Identifying Virtual Reality Users Across Domain-Specific Tasks: A Systematic Investigation of Tracked Features for Assembly. | Alec G. Moore, Tiffany D. Do, Nicholas Ruozzi, Ryan P. McMahan |
| 2022 | CHI | A New Uncanny Valley? The Effects of Speech Fidelity and Human Listener Gender on Social Perceptions of a Virtual-Human Speaker. | Tiffany D. Do, Ryan P. McMahan, Pamela J. Wisniewski |
| 2022 | ICMI | The Effects of an Embodied Pedagogical Agent's Synthetic Speech Accent on Learning Outcomes. | Tiffany D. Do, Mamtaj Akter, Zubin Datta Choudhary, Roger Azevedo, Ryan P. McMahan |
| 2022 | VRST | Carousel: Improving the Accuracy of Virtual Reality Assessments for Inspection Training Tasks. | Jacob Belga, Tiffany D. Do, Ryan Ghamandi, Ryan P. McMahan, Joseph J. LaViola |
| 2021 | FDG | Using Machine Learning to Predict Game Outcomes Based on Player-Champion Experience in League of Legends. | Tiffany D. Do, Seong Ioi Wang, Dylan S. Yu, Matthew G. McMillian, Ryan P. McMahan |
| 2021 | ISMAR | Designing Virtual Pedagogical Agents and Mentors for Extended Reality. | Tiffany D. Do |
| 2020 | EGVE | Virtual Reality Training for Proper Recycling Behaviors. | Tiffany D. Do, Dylan S. Yu, Alyssa Katz, Ryan P. McMahan |
| 2020 | ISMAR | The Effects of Object Shape, Fidelity, Color, and Luminance on Depth Perception in Handheld Mobile Augmented Reality. | Tiffany D. Do, Joseph J. LaViola, Ryan P. McMahan |