DISCOPAR:用于生成基于云的参与式感知平台的视觉反应性编程语言

Jesse Zaman, Kennedy Kambona, W. Meuter
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引用次数: 4

摘要

参与式感知(PS)平台使利益相关者能够收集、分析和可视化特定利益的数据。尽管社会需求很高,但开发一个新的PS平台仍然是一个劳动密集型的、不可重用的过程,需要很高的技术专长。我们提出了DISCOPAR,一种基于可视化反应流的特定领域语言,旨在构建可重复使用的公民天文台。使用DISCOPAR,用户可以与可视化组件进行交互,以实现PS平台的各种元素,而不必担心其底层技术的复杂性。我们通过使用与信息通信技术无关的用户的现实世界经验可用性研究的实验来验证我们的方法。结果表明,DISCOPAR允许技术知识有限的用户创建自己的PS平台。
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DISCOPAR: a visual reactive programming language for generating cloud-based participatory sensing platforms
Participatory sensing (PS) platforms enable stakeholders to collect, analyse and visualise data for a particular interest. Despite high societal demand, developing a new PS platform remains a labour-intensive, nonreusable process that requires high technical expertise. We present DISCOPAR, a visual reactive flow-based domain-specific language geared towards the construction of reusable citizen observatories. With DISCOPAR, users interact with visual components to implement the various elements of a PS platforms without having to worry about its underlying technological complexities. We validate our approach through experiments using real-world empirical usability studies of ICT-agnostic users. The results show that DISCOPAR allows users with limited technological knowledge to create their own PS platform.
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