| 2026 | VR | Embodied Learning for Deaf Signers: Exploring the Potential of XR and Haptic Technologies. | Lorna C. Quandt, Lloyd May, Shela Atemnkeng, Joseph Palagano, Laurel Aichler, Abraham Glasser |
| 2025 | CHI | Towards AI-driven Sign Language Generation with Non-manual Markers. | Han Zhang, Rotem Shalev-Arkushin, Vasileios Baltatzis, Connor Gillis, Gierad Laput, Raja S. Kushalnagar, Lorna C. Quandt, Leah Findlater, Abdelkareem Bedri, Colin Lea |
| 2024 | ASSETS | Insights from Immersive Learning: Using Sentiment Analysis and Real-time Narration to Refine ASL Instruction in Virtual Reality. | Md. Shahinur Alam, Joseph Palagano, Lorna C. Quandt |
| 2024 | NAACL | Generating Signed Language Instructions in Large-Scale Dialogue Systems. | Mert Inan, Katherine Atwell, Anthony Sicilia, Lorna C. Quandt, Malihe Alikhani |
| 2023 | CHI | Designing Access in Sound Art Exhibitions: Centering Deaf Experiences in Musical Thinking. | Lloyd May, Sarah Miller, Sehuam Bakri, Lorna C. Quandt, Melissa Malzkuhn |
| 2022 | ACL | Modeling Intensification for Sign Language Generation: A Computational Approach. | Mert Inan, Yang Zhong, Sabit Hassan, Lorna C. Quandt, Malihe Alikhani |
| 2022 | CogSci | Learning cognitive and linguistic prosodic categories for automatic cross-lingual sign language understanding. | Mert Inan, Yang Zhong, Sabit Hassan, Lorna C. Quandt, Malihe Alikhani |
| 2022 | CogSci | Look For Adjectives In the Face: How Facial Expressions Contribute To Meaning In Signed Languages. | Carla Viegas, Lorna C. Quandt, Malihe Alikhani |
| 2020 | ASSETS | Teaching ASL Signs using Signing Avatars and Immersive Learning in Virtual Reality. | Lorna C. Quandt |