<p dir="ltr">Virtual Reality (VR) has become a pivotal element in modern society, transforming interactions with digital content and interpersonal communication. As VR integrates into various sectors, understanding its forensic potential is crucial for legal, investigative, and security purposes. This involves examining the digital footprints and artifacts left by immersive technologies. While previous studies in digital forensics have primarily concentrated on traditional computing devices such as smartphones and computers, research on VR, particularly on specific devices like the Oculus Go, Meta Quest, and Meta Quest 2, has been limited. This thesis explores the digital forensics of VR, focusing on the Oculus Go, Meta Quest and Meta Quest 2, using tools like Magnet AXIOM and Wireshark. The research uncovers specific forensic and network-based artifacts from eight social community applications, revealing user personally identifiable information, application usage history, WiFi network details, and multimedia content. These findings have significant implications for legal proceedings and cybercrime investigations, highlighting the role these artifacts can play in influencing the outcome of cases. This research not only deepens our understanding of VR-related digital forensics but also sets the stage for further investigations in this rapidly evolving domain.</p>

<p>When users begin to experience virtual reality (VR) for the first time, they can be met with some degree of motion sickness and nausea, especially if continuous joystick locomotion is used. The symptoms that are induced during these VR experiences fall under the umbrella term cybersickness, and due to these uncomfortable experiences, these users can get a bad first impression and abandon the innovative technology, not able to fully appreciate the convenience and fascinating adventures VR has to offer. As such, this project compares the effects of two cybersickness mitigation methods (Dynamic Field of View (FOV) and Virtual Reference Frame), both against each other and combined, on user-reported cybersickness symptoms to determine the best combination to implement in commercial applications to help create more user-friendly VR experiences. The hypothesis is that combining the FOV reduction and the resting frame methods can mitigate VR cybersickness more effectively without hindering the user’s experience and the virtual nose method is more potent at mitigating cybersickness compared to dynamic FOV. To test these hypotheses, an experimental game was developed for the Meta Quest 2 with five levels: a tutorial level and four maze levels (one for each scenario). The participants were asked to complete the tutorial level until they got used to the virtual reality controls, and then they were instructed to complete the maze level twice with one of the following conditions for each run: no method, dynamic field of view only, virtual nose only, and dynamic field of view and virtual nose combined. After completing each maze trial, the participants were asked to complete a simulator sickness questionnaire to get their thoughts on how much sickness they felt during the test. Upon concluding the testing phase with 36 participants and compiling the data, the results showed that while the subjects preferred the dynamic FOV method even though they were able to complete the trials significantly faster with the virtual nose method, it is inconclusive regarding which method is truly more effective. Furthermore, the results showed that it is also inconclusive if the scenario with both methods enabled is significantly better or worse than either method used separately.</p>