A Toolkit for Virtual Reality Data Collection
Rolff, Tim, Hypki, Niklas, Lappe, Markus, Steinicke, Frank
–arXiv.org Artificial Intelligence
Due to the still relatively low number of users, acquiring large-scale and multidimensional virtual reality datasets remains a significant challenge. Consequently, VR datasets comparable in size to state-of-the-art collections in natural language processing or computer vision are rare or absent. However, the availability of such datasets could unlock groundbreaking advancements in deep-learning, psychological modeling, and data analysis in the context of VR. In this paper, we present a versatile data collection toolkit designed to facilitate the capturing of extensive VR datasets. Our toolkit seamlessly integrates with any device, either directly via OpenXR or through the use of a virtual device. Additionally, we introduce a robust data collection pipeline that emphasizes ethical practices (e.g., ensuring data protection and regulation) and ensures a standardized, reproducible methodology.
arXiv.org Artificial Intelligence
Dec-23-2024
- Country:
- Europe > Switzerland (0.28)
- North America > United States (0.46)
- Genre:
- Research Report (0.64)
- Industry:
- Information Technology > Security & Privacy (0.69)