In-Gauge and En-Gage Datasets

We conducted a field study at a K-12 private school in the suburbs of Melbourne, Australia. The data capture contained two elements: First, a 5-month longitudinal field study In-Gauge using two outdoor weather stations, as well as indoor weather stations in 17 classrooms and temperature sensors on the vents of occupant-controlled room air-conditioners; these were collated into individual datasets for each classroom at a 5-minute logging frequency, including additional data on occupant presence. The dataset was used to derive predictive models of how occupants operate room air-conditioning units. Second, we tracked 23 students and 6 teachers in a 4-week cross-sectional study En-Gage, using wearable sensors to log physiological data, as well as daily surveys to query the occupants' thermal comfort, learning engagement, emotions and seating behaviours. This is the first publicly available dataset studying the daily behaviours and engagement of high school students using heterogeneous methods. The combined data could be used to analyse the relationships between indoor climates and mental states of school students.

本研究于澳大利亚墨尔本郊区的一所K-12私立学校开展实地调研，本次数据采集包含两项内容：
第一部分为为期5个月的纵向实地调研「In-Gauge」：研究部署了2台室外气象站、17间教室的室内气象站，以及安装在人员自主操控的房间空调出风口处的温度传感器；以5分钟的采样频率为每间教室生成独立数据集，额外纳入人员在场情况数据。该数据集可用于推导人员操控房间空调的预测模型。
第二部分为为期4周的横断面研究「En-Gage」：研究追踪了23名学生与6名教师，通过可穿戴传感器记录生理数据，并通过每日问卷采集受试者的热舒适感、学习投入度、情绪状态与就座行为信息。
本数据集为首个采用多种研究方法、针对高中生日常行为与学习投入度展开研究的公开可用数据集。整合后的数据集可用于分析室内气候与在校学生心理状态之间的关联。

搜集汇总

背景与挑战

背景概述

该数据集包含In-Gauge和En-Gage两部分研究，聚焦于澳大利亚一所K-12学校的室内环境与居住者行为分析。In-Gauge通过气象站和传感器收集了17个教室长达5个月的温湿度及人员数据，用于预测空调使用模式；En-Gage则利用可穿戴设备和调查追踪了29名师生4周的生理与心理状态，首次公开提供了高中生行为与参与的异构数据集。整体数据集旨在探究室内气候与学生心理状态之间的关联，适用于人机交互、建筑科学等领域的研究。