Staff profile

• Deep Learning
• Gesture Design
• Human Computer Interaction
• Signal Process
• Virtual Reality

Chapter in book

• User-Defined Hand Gesture Interface to Improve User Experience of Learning American Sign Language
  
  Wang, J., Ivrissimtzis, I., Li, Z., Zhou, Y., & Shi, L. (2023). User-Defined Hand Gesture Interface to Improve User Experience of Learning American Sign Language. In C. Frasson, P. Mylonas, & C. Troussas (Eds.), Augmented Intelligence and Intelligent Tutoring Systems: 19th International Conference, ITS 2023, Corfu, Greece, June 2-5, 2023, Proceedings (pp. 479-490). Springer Verlag. https://doi.org/10.1007/978-3-031-32883-1_43

Conference Paper

• TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation
  
  Li, Z., Wang, J., Gu, W., Yazdanpanah, V., Shi, L., Cristea, A. I., Kiden, S., & Stein, S. (2026). TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation. In Human-Computer Interaction – INTERACT 2025 (pp. 137-146). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-05005-2_8
• Enhancing American Sign Language Learning with LLM-Assisted Feedback: A Comparative Study with Traditional Methods
  
  Wang, J., Ivrissimtzis, I., Li, Z., & Shi, L. (2026). Enhancing American Sign Language Learning with LLM-Assisted Feedback: A Comparative Study with Traditional Methods. In Human-Computer Interaction – INTERACT 2025 (pp. 210-215). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-05008-3_40
• The Role of Extraversion in AI-Mediated Communication: User Personality and AI Trait Preferences in Chinese Dyads
  
  Wang, J., Ivrissimtzis, I., Li, Z., Gu, W., & Shi, L. (2025). The Role of Extraversion in AI-Mediated Communication: User Personality and AI Trait Preferences in Chinese Dyads. In Human-Computer Interaction – INTERACT 2025 (pp. 137-141). Springer Nature.
• Enhancing User Experience in Chinese Initial Text Conversations with Personalised AI-Powered Assistant
  
  Wang, J., Ivrissimtzis, I., Li, Z., & Shi, L. (2024, May 11). Enhancing User Experience in Chinese Initial Text Conversations with Personalised AI-Powered Assistant. Presented at CHI ’24: CHI Conference on Human Factors in Computing Systems, Honolulu HI, USA.
• Comparative Efficacy of 2D and 3D Virtual Reality Games in American Sign Language Learning
  
  Wang, J., Ivrissimtzis, I., Li, Z., & Shi, L. (2024, March 16). Comparative Efficacy of 2D and 3D Virtual Reality Games in American Sign Language Learning. Presented at 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Orlando, FL, USA. https://doi.org/10.1109/vrw62533.2024.00234
• Exploring the Potential of Immersive Virtual Environments for Learning American Sign Language
  
  Wang, J., Ivrissimtzis, I., Li, Z., Zhou, Y., & Shi, L. (2023). Exploring the Potential of Immersive Virtual Environments for Learning American Sign Language. In Responsive and Sustainable Educational Futures: 18th European Conference on Technology Enhanced Learning, EC-TEL 2023, Aveiro, Portugal, September 4–8, 2023, Proceedings (pp. 459-474). Springer Verlag. https://doi.org/10.1007/978-3-031-42682-7_31
• Developing and Evaluating a Novel Gamified Virtual Learning Environment for ASL
  
  Wang, J., Ivrissimtzis, I., Li, Z., Zhou, Y., & Shi, L. (2023). Developing and Evaluating a Novel Gamified Virtual Learning Environment for ASL. In Human-Computer Interaction – INTERACT 2023: 19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part I (pp. 459-468). Springer Verlag. https://doi.org/10.1007/978-3-031-42280-5_29

Journal Article

• Hand gesture recognition for user-defined textual inputs and gestures
  
  Wang, J., Ivrissimtzis, I., Li, Z., & Shi, L. (2025). Hand gesture recognition for user-defined textual inputs and gestures. Universal Access in the Information Society, 24, 1315–1329. https://doi.org/10.1007/s10209-024-01139-6
• Sim-GAIL: A generative adversarial imitation learning approach of student modelling for intelligent tutoring systems
  
  Li, Z., Shi, L., Wang, J., Cristea, A. I., & Zhou, Y. (2023). Sim-GAIL: A generative adversarial imitation learning approach of student modelling for intelligent tutoring systems. Neural Computing and Applications, 35(34), 24369-24388. https://doi.org/10.1007/s00521-023-08989-w