ABSTRACT
This work is the product of a collaboration between students studying computer science and social work to visualize the impacts and effects of COVID-19 in New York City in a virtual environment (VE). As a proof of concept, the team chose two datasets from NYC Open Data;COVID-19 infection cases and rates per zip code and vehicular traffic rates within the five boroughs of New York City. To foster unexplored insights into the relationship between these data, we developed a virtual reality application that provides a stronger sense of embodiment and ownership of urban visualization analysis when manipulating 3D virtual maps for comparison in a VE.
ABSTRACT
When there is a shortage of ventilators in a hospital, an anesthesia machine can be used as a ventilator. However, using an anesthesia machine as a ventilator requires that it be set up in a way that would not be familiar to medical personnel who normally work with ventilators. To teach medical staff how to do this, we developed a smartphone augmented reality app that allows a user to interact with a life-size virtual anesthesia machine, and leads them through the necessary steps. This makes it possible for the user to practice the setup procedures in a way that preserves the 3D spatial layout of the tasks without requiring access to the physical machine.