A Toolkit for Virtual Reality Data Collection

Tim Rolff, Niklas Hypki, Markus Lappe, Frank Steinicke
12/23/2024
cs.HCcs.AIcs.LG

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Abstract

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.

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Cite this paper

@article{rolff2024toolkit,
  title  = {A Toolkit for Virtual Reality Data Collection},
  author = {Tim Rolff and Niklas Hypki and Markus Lappe and Frank Steinicke},
  year   = {2024},
  eprint = {2412.17490},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.17490v1}
}

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