Granular computing as a basis of human–data interaction: a cognitive cities use case
Granular computing as a basis of human–data interaction: a cognitive cities use case
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DOI：
10.1007/s41066-016-0015-4
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发表时间：
2016-02
影响因子：
5.5
通讯作者：
Gwendolin Wilke;Edy Portmann
中科院分区：
文献类型：
--
作者：
Gwendolin Wilke;Edy Portmann
该文章提出粒度计算作为新兴的人类数据交互（HDI）研究领域的理论、形式和方法基础。我们认为，用信息颗粒表示和推理的能力是数据可读性的先决条件。因此，它允许扩展 HDI 的研究议程，以涵盖集体智慧放大的主题，这被视为当今日益普及的计算环境的一个机会。作为 HDI 中集体智慧放大的一个例子，我们介绍了认知城市环境中的协作城市规划用例，并展示了用户输入和以人为本的自动化数据处理的迭代过程如何支持集体决策。作为自动化的以人为本的数据处理的基础，我们使用粒状几何的空间粒状演算。
The article proposes granular computing as a theoretical, formal and methodological basis for the newly emerging research field of human–data interaction (HDI). We argue that the ability to represent and reason with information granules is a prerequisite for data legibility. As such, it allows for extending the research agenda of HDI to encompass the topic of collective intelligence amplification, which is seen as an opportunity of today’s increasingly pervasive computing environments. As an example of collective intelligence amplification in HDI, we introduce a collaborative urban planning use case in a cognitive city environment and show how an iterative process of user input and human-oriented automated data processing can support collective decision making. As a basis for automated human-oriented data processing, we use the spatial granular calculus of granular geometry.