Full-scale Assembly Simulation Testbed (FAST) Dataset

Full-scale Assembly Simulation Testbed (FAST) Dataset是由中佛罗里达大学开发的一个虚拟现实(VR)数据集，旨在研究VR中的组装任务。该数据集包含108名参与者在VR环境中学习组装两个全尺寸结构的数据，包括空间表示、任务指标和问卷反馈。数据集的创建过程涉及使用VR应用收集数据，并详细记录了参与者的交互和反馈。该数据集适用于研究用户认证、预测虚拟现实中的不适感和评估学习成果等领域，旨在解决VR数据集的稀缺问题，支持机器学习模型的开发和验证。

The Full-scale Assembly Simulation Testbed (FAST) Dataset is a virtual reality (VR) dataset developed by the University of Central Florida, aimed at researching assembly tasks in VR environments. This dataset collects data from 108 participants who learned to assemble two full-scale structures in a VR setting, including spatial representations, task metrics, and questionnaire feedback. The dataset creation process involved gathering data via VR applications, with detailed records of participants' interactions and feedback. This dataset targets addressing the scarcity of existing VR datasets, and supports research fields such as user authentication, predicting VR-induced discomfort, and evaluating learning outcomes, while facilitating the development and validation of machine learning models.