Digital Twin technology has been considered as an effective technology for improving efficiency, real-time monitoring, making predictions and simulations in industry.
While, in the healthcare field, it is mostly researched to be used in the clinical applications for patient monitoring or disease prediction.
This research extends the possible applications into the context of preventive health outside the clinic.
The project focuses on the interaction design between individuals and Digital Twin to communicate health risks, leveraging the capabilities of Digital Twin technology to produce predictive health risk information, and considering the possible relationship human and Digital Twin may foster together in the long term.
