Along with 2 others, wrote a Python program that would be run on a RaspberryPi 3 which collected environmental input via connected humidity, temperature, and light input sensors. The intended goal was to preemptively allow someone to test a location in or around their home to find out if the conditions were adequate for a real plant by first trying to grow a virtual one.
The user would simply need to place our mobile RaspberryPi-Sensor unit in a desired location where they would like to test the conditions for 24 hours and input the plant species they were intending to grow. The unit would then take readings and at theend of the 24-hour period display on a small screen whether or not the location is adequate for the specified plant.
Working with a small HCI research team, our experiments were designed to investigate whether foreign language retention is effected by learning through a virtual environment. We developed a VR playground through Unreal Engine which allowed users to manipulate objects and practice a foreign language. We also developed a flashcard program using React tools which allowed users to learn the same language through a different medium. Following the experiments, data was recorded, analyzed, and interpreted into a final research report.