Kraken.me: multi-device user tracking suite

Immanuel Schweizer, Benedikt Schmidt
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引用次数: 15

Abstract

An in-depths understanding of human activity is a relevant contribution to the design of interactive systems to support human activity. This is of explicit relevance for assistance systems building on prediction and recommendation. However, the understanding of human activity is limited. Albeit the omnispresence of smart phones and computers, the actual execution of complex activities with those devices in relation to context factors is not completely understood. One possible reason is the limited amount of activity related data to perform actual research. In this paper, we present the Kraken.me framework to address this lack of information. Kraken.me is the first tracking suite to offer integrated tools for mobile, social, and desktop tracking. It is also, to our knowledge, the first tool to emphasize the collection of data from both physical and soft sensors. In this paper, we will introduce the overall architecture, system components, and future research ideas for Kraken.me.
海怪。Me:多设备用户跟踪套件
对人类活动的深入理解是设计支持人类活动的交互系统的相关贡献。这对于建立在预测和建议基础上的援助系统具有明确的相关性。然而,对人类活动的理解是有限的。尽管智能手机和电脑无处不在,但与这些设备相关的复杂活动的实际执行与环境因素并没有完全理解。一个可能的原因是与活动相关的数据量有限,无法进行实际研究。在这篇论文中,我们介绍了海妖。框架来解决这种信息缺乏问题。海怪。Me是第一个为移动、社交和桌面跟踪提供集成工具的跟踪套件。据我们所知,它也是第一个强调从物理和软传感器收集数据的工具。在本文中,我们将介绍Kraken.me的整体架构、系统组成以及未来的研究思路。
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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