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- All Subjects: Augmented Reality
- Creators: Atkinson, Robert
- Creators: Caterino, Linda
The study of developing a real-time cross-platform collaboration system between VR and MR takes into consideration a scenario in which multiple device users are connected to a multiplayer network where they are guided to perform various tasks concurrently.
Usability testing was conducted to evaluate participant perceptions of the system. Users were required to assemble a chair in alternating turns; thereafter users were required to fill a survey and give an audio interview. Results collected from the participants showed positive feedback towards using VR and MR for collaboration. However, there are several limitations with the current generation of devices that hinder mass adoption. Devices with better performance factors will lead to wider adoption.
Augmented reality offers a unique and innovative way to interact and connect with the natural world through the digital world. In an effort to better facilitate learning, this project makes use of web-based augmented reality. This project employs JavaScript libraries, AR.js and Three.js, to provide an augmented reality experience that better links real-world objects to information in a more digestible format. As well as discusses the many issues with technology and how to work around them and ultimately solve them.
Bad actor reporting has recently grown in popularity as an effective method for social media attacks and harassment, but many mitigation strategies have yet to be investigated. In this study, we created a simulated social media environment of 500,000 users, and let those users create and review a number of posts. We then created four different post-removal algorithms to analyze the simulation, each algorithm building on previous ones, and evaluated them based on their accuracy and effectiveness at removing malicious posts. This thesis work concludes that a trust-reward structure within user report systems is the most effective strategy for removing malicious content while minimizing the removal of genuine content. This thesis also discusses how the structure can be further enhanced to accommodate real-world data and provide a viable solution for reducing bad actor online activity as a whole.