Leveraging ubiquitous computing as a platform for collecting real-time occupant feedback in buildings
Leveraging ubiquitous computing as a platform for collecting real-time occupant feedback in buildings
复制标题
利用普适计算作为收集建筑物中实时居住者反馈的平台
DOI：
10.1080/17508975.2013.781499
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
K. Konis
中科院分区：
文献类型：
--
作者：
K. Konis
建筑物的使用者代表了评估环境设计实践和建筑运营的丰富信息来源。本文介绍了一种可扩展的诊断技术，用于收集建筑物居住者的实时室内环境质量（IEQ）反馈：交互式桌面投票站。该设备展示了无处不在的计算的潜力，这是一种人机交互模型，其中信息处理被集成到日常物品中，以使居住者在真实的工作环境中提供IEQ反馈。从一个高性能的办公楼的实地研究的示例数据，展示了多个设备的适用性，以获取详细的反馈，在气候条件的日常和季节性变化。样本结果显示了投票站数据如何帮助识别不适的频率和程度，以及评估、验证和改善环境响应型建筑技术、控制和设计策略所需的空间和时间粒度。重复测量的主观评估与并发物理测量进行分析，以证明如何现有的标准和假设的居住者舒适度可以进行评估和细化使用详细的居住者反馈的建筑物在使用中。结果进行了讨论，为改善决策的设计，认证和操作的环保型建筑的影响。
Building occupants represent a rich source of information for evaluating environmental design practices and building operations. This article presents a scalable diagnostic technology for collecting real-time indoor environmental quality (IEQ) feedback from building occupants: an interactive desktop polling station. The device demonstrates the potential of ubiquitous computing, a model of human–computer interaction in which information processing is integrated into everyday objects, to engage occupants in providing IEQ feedback in real work environments. Example data from a field study of a high-performance office building are presented demonstrating the applicability of multiple devices to acquire detailed feedback over daily and seasonal variations in climatic conditions. Sample results show how polling station data can help identify the frequency and magnitude of discomfort with the spatial and temporal granularity needed to assess, validate, and improve the performance of environmentally responsive building technologies, controls, and design strategies. Analysis of repeated-measures subjective assessments paired with concurrent physical measurements is performed to demonstrate how existing standards and assumptions for occupant comfort could be evaluated and refined using detailed occupant feedback from buildings in use. Results are discussed regarding implications for improving decision-making for the design, certification, and operation of environmentally responsive buildings.