PDF(Pubmed)
Abstract：
This data paper presents a unique multimodal dataset collected from a comprehensive experiment using a wheelchair training simulator. The dataset consists of quantitative and qualitative data that represents the user\'s experience and performance. Participants engaged in a series of navigational tasks in a simulated environment under two distinct system configuration conditions: a. a conventional monitor display and b. a virtual reality (VR) headset. The monitor group has a total of 24 participants data while using the simulator with a standard display and then other two groups of 18 and 16 respectively using the VR headset with a different wheelchair\'s speed profile. It was collected data from total of 58 participants. The dataset includes physiological data - Heart Rate Variability (HRV), Electrodermal Activity (EDA), Acceleration (ACC), Skin Temperature, Heart Rate (HR), and Blood Volume Pulse (BVP) - collected during both experiments. Additionally, for the standard display condition, more detailed data comprising Electroencephalography (EEG) and eye-tracking metrics were recorded to provide insights into cognitive load and visual attention patterns. System metrics captured from the simulator provide an objective performance report, including task completion times, error rates (collision of the virtual wheelchair), number of joystick commands. Also, the navigation efficiency data is complemented by post-experiment questionnaires, which gathered subjective responses on user experience, perceived difficulty, the user immersive levels, arousal, and simulator sickness symptoms. This dataset is valuable for researchers and practitioners in the fields of assistive technology, human-computer interaction, and rehabilitation. It offers metrics to a comprehensive view of how different display technologies influence the user experience in wheelchair simulation training. The data allows for in-depth analysis of physiological responses, cognitive engagement, and subjective perceptions, providing a foundation for future research on effective wheelchair training methodologies and the potential benefits of VR in rehabilitation settings.
摘要：
本数据文件介绍了使用轮椅训练模拟器从综合实验中收集的独特多模态数据集。数据集由定量和定性数据组成，代表用户的体验和表现。参与者在两个不同的系统配置条件下在模拟环境中从事一系列导航任务:a.常规监视器显示器和b.监视器组在使用具有标准显示器的模拟器时总共有24名参与者的数据，然后分别使用具有不同轮椅速度曲线的VR耳机的另外两组18名和16名。它是从总共58名参与者收集的数据。数据集包括生理数据-心率变异性（HRV），皮肤电活动（EDA），加速度(ACC)皮肤温度,心率(HR)和血容量脉冲(BVP)-在两个实验期间收集。此外,对于标准显示条件，我们记录了更详细的数据,包括脑电图(EEG)和眼动追踪指标,以深入了解认知负荷和视觉注意力模式.从模拟器捕获的系统指标提供了客观的性能报告，包括任务完成时间，错误率（虚拟轮椅的碰撞），操纵杆命令的数量。此外，导航效率数据由实验后问卷补充，它收集了用户体验的主观反应，感知到的困难，用户身临其境的水平，唤醒,和模拟器疾病的症状。该数据集对辅助技术领域的研究人员和从业人员很有价值，人机交互,和康复。它提供了衡量指标，以全面了解不同的显示技术如何影响轮椅模拟训练中的用户体验。这些数据可以深入分析生理反应，认知参与，和主观感知，为未来研究有效的轮椅训练方法和VR在康复环境中的潜在益处奠定基础。
