Nina HubigHUMAN DIGITAL TWIN
Focuses on the emotional behavior of avatars to support self-reflection, blending insights from HCI, virtual reality, and reinforcement learning.
We have designed and developed interactive virtual patients—human-like characters that are specifically conversational (both verbal and non-verbal) in their behaviors and present the similar properties as humans in face-to-face conversations. Developed using Unity 3D, the virtual patients will present an active, cost-efficient, and personalized teaching/learning experience. Specifically, a trainee will interact with a variety of virtual patients that are presented on the computer screen and demonstrating different persona (e.g., gender and ethnicity) and learner agency (e.g., commitment towards the therapy, confidence, and talkativeness). He/she will practice the targeted communication strategies and language with these virtual patients, and received naturalistic feedback (i.e., the responses and reactions of the virtual patients) of their decisions and actions. The virtual patient simulator simulates the behaviors of a patient in reaction to user inputs to frame a situated learning experience, and can also facilitate the assessment of the trainee’s competency.
BP Knijnenburg, N Hubig
Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents
S Khan, M Iqbal, N Humaira, N Hubig, B Knijnenburg
IJCAI workshops AiofAI 2021
M Iqbal, M.Volonte, B Knijnenburg, N Hubig
IJCAI workshops AiofAI 2023
- Toward the Creation of Engaging Virtual Humans through Use of High-End Production Techniques
N Hubig, M Volonte, J Baron, X Li, E Patterson
Under review
- Mitigating Digital Mindlessness: A literature Review
S Khan, M Iqbal, N Humaira, N Hubig, B Knijnenburg
Under review
- The Human Digital Twin: An Ethical Development Framework
A Mbodj, A Solovyova, S. Khan, M. Iqbal, B. Knijnenburg, N Hubig
Under review