A Toolkit for Virtual Reality Data Collection
Tim Rolff, Niklas Hypki, Markus Lappe, Frank Steinicke

TL;DR
This paper introduces a versatile toolkit and pipeline for large-scale, ethical, and standardized data collection in virtual reality, aiming to facilitate the development of extensive VR datasets for advanced research.
Contribution
It presents a novel, device-agnostic toolkit and data collection pipeline that promotes reproducibility and ethical standards in VR data acquisition.
Findings
Toolkit seamlessly integrates with any VR device
Ensures ethical data collection practices
Supports large-scale, standardized VR datasets
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…
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Taxonomy
TopicsSimulation Techniques and Applications · Simulation and Modeling Applications
