Research
Title: Enhancing Medical Capability in Deep Space: A Comparison of Traditional and Just-In-Time Training Methods
My research aims to develop and test an Augmented Reality (AR) Just-In-Time Training (JITT) module. I am exploring its effectiveness in enabling a scientifically literate individual to successfully, confidently, and quickly complete a wrist splinting procedure in comparison to classroom training methods. If proven to be effective, AR JITT could serve as a viable alternative to time-consuming classroom training could considerably reduce the medical risk associated with exploration class missions.
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bioluminescence
Client: Course Instructor Sam Bond
Software: Unity, 3DS Max, TyFlow, Visual Molecular Dynamics, Oculus SDK
Primary Audience: Lay Audience
This virtual reality experience, created for Oculus Rift, offers the user the opportunity to explore a cave inhabited by bioluminescent gnat larvae- better known as glow worms. The user can teleport to a platform at the top of the cave to see the glow worm nests up close, learn about bioluminescence, and interact with the protein structures responsible for this phenomenon in a variety of species.
DermaMatch
Created in collaboration with Alea Ahmadian and Abby Cacciaglia
My role: UI and asset development
Client: Course Instructor Sam Bond
Software: Unity, ARKit SDK, Xcode, Zbrush, Adobe Photoshop, Adobe Illustrator
Primary Audience: Medical students
We created Dermamatch as a prototype of an educational app designed to help medical students practice diagnosing dermatological conditions. Through the use of face tracking AR technology, students are able to view various conditions on their own faces from multiple angles. This app allow the user to input their own skin color to ensure that each condition is depicted accurately. The main menu offers the options to explore how each condition appears on various skin tones in the image gallery and read each patient’s record.
Immunity
Client: Course Instructor Sam Bond
Software: Vuforia, Unity, Visual Molecular Dynamics, 3DS Max, Adobe Illustrator
Primary Audience: Lay audience
Immunity, my first Augmented Reality app, was designed to promote understanding of the way Pfizer’s Covid-19 vaccine builds immunity over time and the importance of receiving the second of the two doses. The app overlays a virtual 3D antibody on top of the pin that was distributed to vaccine recipients at the University of Illinois at Chicago. The user indicates how long it has been since their first or second dose, and the app responds by building the percentage of an antibody that corresponds with the approximate amount of immunity the individual has acquired. The percentages used corresponds to those observed in participants of the Pfizer vaccine clinical trials.
Blood typing game
Created in collaboration with Alea Ahmadian and Nicole Shepherd
My Role: Lead Coder
Client: Course Instructor Sam Bond
Software: Unity, 3DS Max, Adobe Illustrator
Primary Audience: High school biology students
Blood Lab is a desktop application that offers a virtual replacement for lab for a high school science lab. The experience walks the student through the basics of blood composition, the differences between blood types, and the concept of universal donors and receivers.
The student has the opportunity to conduct a blood typing experiment by filling a well plate with different samples of blood and antibody serums. Once the student has determined correct blood type for each sample, they are tasked with delivering the sample to an appropriate patient.
We used dynamic 3D visualizations, a pedagogical instructor, and a vibrant look and feel to maximize engagement with the target audience.