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.

This paper explores the inner workings of algorithms that computers may use to play Chess. First, we discuss the classical Alpha-Beta algorithm and several improvements, including Quiescence Search, Transposition Tables, and more. Next, we examine the state-of-the-art Monte Carlo Tree Search algorithm and relevant optimizations. After that, we consider a recent algorithm that transforms Alpha-Beta into a “Rollout” search, blending it with Monte Carlo Tree Search under the rollout paradigm. We then discuss our C++ Chess Engine, Homura, and explain its implementation of a hybrid algorithm combining Alpha-Beta with MCTS. Finally, we show that Homura can play master-level Chess at a strength currently exceeding that of our backtracking Alpha-Beta.

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.