Making Sense of Rich Data Collections on Mobile Devices

Florian Güldenpfennig, G. Fitzpatrick, Wolfgang Reitberger
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引用次数: 1

Abstract

Mobile phones today offer great opportunities for capturing information enabled by sensor capabilities. A challenge, however, is to create meaningful order in this increasing amount of heterogeneous data and to exploit it in proficient ways. In this paper we present ContextCatcher, a mobile phone application for creating rich multimedia repositories and information collections on mobile devices. This software enables capturing a variety of file formats, for example, photos, videos, text, GPS locations, etc. Moreover, ContextCatcher facilitates the aggregation of these files into ContextObjects, which can be thought of as container structures for bundling the file collections. We describe a study featuring 18 participants, who created 681 media files contained within 80 ContextObjects. We analyze this data to explore its underlying structure and the emergent relations between the files through the lens of sensemaking. Finally, we show why the ContextCatcher concept can both be helpful in information foraging and sensemaking.
如何在移动设备上收集丰富的数据
今天的移动电话为通过传感器功能获取信息提供了巨大的机会。然而,一个挑战是如何在数量不断增加的异构数据中创建有意义的顺序,并以熟练的方式利用它。在本文中,我们介绍了ContextCatcher,一个用于在移动设备上创建丰富的多媒体存储库和信息集合的移动电话应用程序。该软件可以捕获各种文件格式,例如,照片,视频,文本,GPS位置等。此外,ContextCatcher有助于将这些文件聚合到contextobject中,这可以被认为是用于捆绑文件集合的容器结构。我们描述了一项有18名参与者的研究,他们在80个语境对象中创建了681个媒体文件。我们对这些数据进行分析,以探索其底层结构和文件之间的紧急关系。最后,我们展示了为什么ContextCatcher概念在信息采集和意义生成中都很有帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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