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A precise sensing method for awareness information based on task/schedule information

一种基于任务/日程信息的感知信息精准感知方法

基本信息

批准号：
17500068
负责人：
TSUJINO Yoshihiro
金额：
$ 2.39万
依托单位：
Kyoto Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2007
项目状态：
已结题

项目摘要

Awareness Information is important to make a smooth communication. However, awareness information is not enough in the distributed environment. We focus on the "busyness" as a kind of awareness information. The busyness is a level of a person's interruptibility and means whether he/she has time to communicate with others or not. We consider that people feel a time pressure from their own tasks, so we proposed "schedule-based busyness" as one of the quantitative factor of busyness. We define and estimate the schedule-based busyness based on the deadline of user's tasks, subjective amount of work time for the tasks, and free time until the closest deadline.In order to get these parameters, a new scheduler system "Time Line Navi" was implemented.In general scheduler systems, tasks and schedules are managed independently though they are actually related. So it is difficult for users to notice that their scheduling is overbooked. In addition, users cannot explicitly grasp a state of their tasks, such as a progress of each task because they have no chance to know such state with the scheduler systems. In order to solve these problems, we proposed a task-and-schedule management method based on the amount of free time and a task management method based on the relationship among tasks, implemented Time Line Navi based on these methods, and evaluated experimentally. The results show that the free time is useful for the user's scheduling and the relationship among tasks is enable users to manage tasks clearly and effectively.In addition, we proposed a music selection method, interruption and resumption methods and presentation methods for peripheral information and implemented their prototypes as some applications with awareness information.

意识信息对于顺利沟通非常重要。然而，在分布式环境中，感知信息是不够的。我们关注“忙碌”作为一种意识信息。忙碌程度是一个人可被打扰的程度，是指他/她是否有时间与他人交流。我们考虑到人们会因自己的任务而感到时间压力，因此我们提出“基于日程的忙碌度”作为忙碌度的量化因素之一。我们根据用户任务的截止日期、任务的主观工作时间量以及最近截止日期之前的空闲时间来定义和估计基于日程的繁忙度。为了获得这些参数，实现了新的调度系统“Time Line Navi”。在一般调度系统中，任务和日程虽然实际上是相关的，但它们是独立管理的。因此用户很难注意到他们的日程被超额预订。此外，用户无法明确掌握其任务的状态，例如每个任务的进度，因为他们没有机会通过调度系统了解此类状态。为了解决这些问题，我们提出了基于空闲时间量的任务与日程管理方法和基于任务之间关系的任务管理方法，并基于这些方法实现了Time Line Navi，并进行了实验评估。结果表明，空闲时间有利于用户的日程安排，任务之间的关系使用户能够清晰有效地管理任务。此外，我们提出了音乐选择方法、中断和恢复方法以及外围信息的呈现方法，并将其原型实现为一些带有感知信息的应用程序。