MakeSense

IF 3.5 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Jie Jiang, Riccardo Pozza, Nigel Gilbert, K. Moessner
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引用次数: 8

摘要

人们对部署物联网(IoT)设备来研究家庭和办公室等场所的人类行为越来越感兴趣。这种设备可以部署在实验室或“野外”的自然环境中。后者允许人们收集不受人为实验室实验污染的行为数据。与实验室实验相比,在普通环境中使用物联网设备还可以降低成本,减少对参与者日常生活的干扰,从而有助于招募他们参与研究。然而,在这种情况下,拥有一个可以轻松快速安装的物联网基础设施至关重要,并且可以从中安全直接地收集实时数据。在本文中,我们介绍了MakeSense,这是一个物联网测试平台,可以通过实时监控和/或情境感知应用程序对室内活动进行大规模社会研究。该测试平台具有快速设置、灵活部署、集成一系列物联网设备、弹性和可扩展性等特点。我们还提出了两个案例研究来演示测试平台的使用:一个在家里,一个在办公室。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MakeSense
There has been increasing interest in deploying Internet of Things (IoT) devices to study human behavior in locations such as homes and offices. Such devices can be deployed in a laboratory or “in the wild” in natural environments. The latter allows one to collect behavioral data that is not contaminated by the artificiality of a laboratory experiment. Using IoT devices in ordinary environments also brings the benefits of reduced cost, as compared with lab experiments, and less disturbance to the participants’ daily routines, which in turn helps with recruiting them into the research. However, in this case, it is essential to have an IoT infrastructure that can be easily and swiftly installed and from which real-time data can be securely and straightforwardly collected. In this article, we present MakeSense, an IoT testbed that enables real-world experimentation for large-scale social research on indoor activities through real-time monitoring and/or situation-aware applications. The testbed features quick setup, flexibility in deployment, the integration of a range of IoT devices, resilience, and scalability. We also present two case studies to demonstrate the use of the testbed: one in homes and one in offices.
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来源期刊
CiteScore
5.20
自引率
3.70%
发文量
0
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