CLEVER - 职业模拟器数据集：生态虚拟体验与现实的捕获与记录
The Capturing and Logging Ecological Virtual Experiences and Reality (CLEVER) - Job Simulator Dataset
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中文总结 AI 辅助
本文针对公开VR运动数据集有限的问题，构建了包含95名参与者游玩SteamVR游戏《职业模拟器》的CLEVER开源数据集，并介绍了研究流程、数据收集过程及数据集属性等内容。
中文摘要 AI 辅助
虚拟现实（VR）的运动追踪与交互数据已被越来越多地认可为机器学习实验的宝贵资源，可用于预测用户身份、性别、年龄等用户属性，以及预测用户留存率与学习情况等多种用途。然而，公开可获取的VR运动数据集数量有限。本文提出了一个新的开源数据集，包含95名参与者游玩SteamVR游戏《职业模拟器》的数据。此外，我们回顾了现有数据集，详细说明了研究流程，描述了数据收集过程，列出了本数据集的属性，并提出了未来工作、影响及应用方向。
英文摘要
Virtual reality (VR) motion tracking and interaction data has become increasingly recognized as valuable for machine learning experiments for a variety of purposes, including predicting user identities, predicting user attributes like gender and age, predicting retention and learning, and more. However, there exist a limited number of publicly accessible VR motion datasets. In this paper, we present a new open-source dataset of 95 participants playing the SteamVR game Job Simulator. Additionally, we review existing datasets, detail our study procedure, describe our data collection process, list attributes of our dataset, and suggest future work, impact, and applications.
