Dataset supporting the paper "Measuring and Supporting Simultaneous Flow in Duos of Elderly Cyclists"

This study investigates how simultaneous flow during cycling experiences can be measured and supported among duos of elderly cyclists, a demographic with increasing e-bike usage. We collected heart rate, cadence, and position data together with participant-generated labels in an experimental study with 21 participants. Data was collected via sensors on the bicycles and on the human participants, as well as via a forward-facing action camera on the bicycle handlebar. Via a post-ride video-based recall method, participants generated labels for each 30-second time window, indicating whether or not they where in individual flow in that time window. The sensor data and participant labels are shared in CSV data. The video recordings are not shared because anonimization was out of scope for the study, however the research team can be contacted in case of interest in these recordings.

本研究聚焦电动自行车（e-bike）使用率持续攀升的老年骑行双人组，探究骑行过程中同步心流（flow）体验的测量路径与支持方案。本研究招募21名受试者开展实验研究，采集心率、踏频、体位三类数据，并同步收集受试者自主生成的标注标签。数据采集渠道涵盖安装于自行车及受试者身上的传感器，以及安装于自行车车把的前置运动相机。受试者通过骑行后视频回溯法，为每个30秒时间窗口生成标注，用以标识该窗口内自身是否处于个体心流状态。本研究已将传感器数据与受试者标注数据以CSV格式公开共享。由于匿名化处理不在本次研究的覆盖范围内，视频录制素材未予共享；若有相关需求，可联系研究团队获取该类素材。