Pervasive Computing
Pervasive Computing
复制标题
普适计算
DOI：
10.1007/978-3-642-31205-2_8
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Bates O
中科院分区：
文献类型：
--
作者：
Bates O
普适和普适计算领域的研究人员在分解国内资源消耗的新传感技术以及设计以能源为中心的家庭干预措施方面开展了大量工作。与此不同的是，我们采用了面向服务的方法，其中我们不仅考虑了特定设备所占用的资源量，而且还考虑了相关服务在日常生活环境中可能具有的特征。我们在四个学生公寓进行了为期20天的形成性研究，通过对11名参与者和200多个家庭传感器的采访收集数据。在深入描述我们研究中的观察结果和发现之后，我们认为，我们的方法比以能源为中心的方法提供了更广泛的对资源和日常生活的理解。
Researchers in pervasive and ubiquitous computing have produced much work on new sensing technologies for disaggregating domestic resource consumption, and on designs for energy-centric interventions at home. In a departure from this, we employ a service-oriented approach, where we account for not only the amount of resources that specific appliances draw upon, but also how the associated services may be characterised in the context of everyday life. We undertook a formative study in four student flats over a twenty-day period, collecting data using interviews with eleven participants and over two hundred in-home sensors. Following an in-depth description of observations and findings from our study, we argue that our approach provides a more inclusive range of understandings of resources and everyday life than has been shown from energy-centric approaches.