This thesis is based on bringing together three different components: non-Euclidean geometric worlds, virtual reality, and environmental puzzles in video games. While all three exist in their own right in the world of video games, as well as combined in pairs, there are virtually no examples of all three together. Non-Euclidean environmental puzzle games have existed for around 10 years in various forms, short environmental puzzle games in virtual reality have come into existence in around the past five years, and non-Euclidean virtual reality exists mainly as non-video game short demos from the past few years. This project seeks to be able to bring these components together to create a proof of concept for how a game like this should function, particularly the integration of non-Euclidean virtual reality in the context of a video game. To do this, a Unity package which uses a custom system for creating worlds in a non-Euclidean way rather than Unity’s built-in components such as for transforms, collisions, and rendering was used. This was used in conjunction with the SteamVR implementation with Unity to create a cohesive and immersive player experience.

Java Mission-planning and Analysis for Remote Sensing (JMARS) is a geospatial software that provides mission planning and data-analysis tools with access to orbital data for planetary bodies like Mars and Venus. Using JMARS, terrain scenes can be prepared with an assortment of data layers along with any additional data sets. These scenes can then be exported into the JMARS extended reality platform, which includes both augmented reality and virtual reality experiences. JMARS VR Viewer is a virtual reality experience that allows users to view three-dimensional terrain data in a fully immersive and interactive way. This tool also provides a collaborative environment for users to host a terrain scene where people can analyze the data together. The purpose of the project is to design a set of interactions in virtual reality to try and address these questions: (1) how do we make sense of larger complex geospatial datasets, (2) how can we design interactions that assist users in understanding layered data in both an individual and collaborative work environment, and (3) what are the effects on the user’s cognitive overload while using these interfaces.

Computer-based auditory training programs (CBATPs) are used as an at-home aural rehabilitation solution in individuals with hearing impairment, most commonly in recipients of cochlear implants or hearing aids. However, recent advancements in spatial audio and immersive gameplay have not seen inclusion in these programs. Isle Aliquo, a virtual-reality CBATP, is designed to reformat traditional rehabilitation exercises into virtual 3D space. The program explores how the aural exercise outcomes of detection, discrimination, direction, and identification can be improved with the incorporation of directional spatial audio, as well as how the experience can be made more engaging to improve adherence to training routines. Fundamentals of professional aural rehabilitation and current CBATP design inform the structure of the exercise modules found in Isle Aliquo.