Groupanizer:一种将多用户位置与每日时刻关联起来的方法

Jean Olivier Caron, Y. Kawahara, H. Morikawa, T. Aoyama
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引用次数: 0

摘要

Groupanizer是群件的扩展,它构成了一个开发平台,用于集成以用户为中心的信息,从而使群件应用程序受益。以用户为中心的上下文以协作的方式使用,以积极地联系和加强小组成员的特质。为了做到这一点,监控用户的日常环境是必不可少的,因此,我们的目标之一是整合用户的物理位置。我们认为,共同访问的地点和轨迹构成了一个以用户为中心的元素,应该用来在群件中偏爱事务(即任务或调度)。虽然物理位置本身可以集成到模型中,但我们认为运动行为与日常生活的时刻有着内在的联系。我们使用三个上下文元素来定义这些时刻——时间段、活动和当前。这个定义利用位置映射来包含它的隐式性质。从本质上讲,我们的目标是让我们的模型理想地反映一个群体的生态,即多个用户之间的关系,给定他们当前和未来的位置。定义了本体,映射了用户之间的位置和时刻,并使用隐马尔可夫模型推导了位置模式。最后介绍了实验阶段和实验结果
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Groupanizer: a method to correlate multi-users position with daily moments
Groupanizer is an extension of groupware and constitutes a development platform to integrate user-centric information for the benefit of groupware applications. User-centric context is used in a collaborative manner to positively link and reinforce group member idiosyncrasies. In order to do so, monitoring of the user's daily context is essential, and thus, one aspect we aim at integrating is user physical position. We believe that common visited places and trajectories constitute one user-centric element that should be used to bias transactions - namely tasks or scheduling - in groupware. Although physical location could by itself be integrated in a model, we believe that motion behaviors are intrinsically linked to moments of daily life. We define those moments using three context elements - a time period, an activity and the current day. This definition leverages position mapping to include its implicit nature. Essentially, the aim is for our model to ideally reflect a group's ecology, namely relations between multiple users given their current and future locations. This paper defines the ontology, mapping locations and moments among users, and the hidden Markov model used to derive location patterns. Finally, it describes the experimentation phase and its results
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