Extensive Simulation Of Human-Robot Interaction For Critical Care Telemedicine
Inki Kim, Anthony Nepomuceno, Shandra Jamison, Jon Michel, Thenkurussi Kesavadas · 2022
This article proposes a new immersive digital-twin simulation framework, dubbed Extensive Simulation, aimed at high-precision analyses of human-robot interaction (HRI) for critical care telemedicine, or tele-ICU. The proposed approach first reproduces in a virtual ICU environment, the real-time digital replica of physical robot navigating under ICU care setting. Then, the digital twin constructed in the virtual environment is extended with immersive simulation technology, to elicit and collect interactive human behaviors from diverse group of tele-ICU users (including physicians, nurses, and technical staffs either onsite or remotely located, along with patients and guardians). The proposed Extensive Simulation framework advances digital twin concept by including humans into the loop via immersive simulation, which will help reliably capture diverse human behaviors and construct human model for tele-ICU work system.