Inspiration
We were inspired by the growing interest in virtual reality (VR) technology and wanted to understand how different demographics interact with it, especially regarding motion sickness and immersion levels.
What it does
Our project, VR Headset Viz, analyzes a dataset on VR usage demographics to explore which demographics are more prone to motion sickness and which achieve higher immersion levels. We also investigate the performance of various VR headsets.
How we built it
We cleaned and analyzed the dataset, using statistical methods like hypothesis testing, regression, and cluster analysis. This helped us uncover relationships between demographics, VR usage, and headset performance.
Challenges we ran into
We faced challenges in ensuring data quality and selecting appropriate statistical techniques. Interpreting the results in the context of VR technology was also a hurdle.
Accomplishments that we're proud of
Successfully addressing the research questions and providing valuable insights into VR usage patterns were our main accomplishments.
What we learned
We gained insights into VR technology's complexities, learned about statistical analysis in emerging tech contexts, and deepened our understanding of factors influencing VR experiences.
What's next for VR Headset Viz
We plan to expand VR Headset Viz by incorporating more data and advanced analytics to further enhance our understanding of VR usage patterns and improve user experiences.
Log in or sign up for Devpost to join the conversation.