Adaptive notification system guaranteeing message reachability

H. Kasai, K. Yamazaki, S. Kurakake
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引用次数: 9

Abstract

A variety of information communication devices have been developed to help people maintain his/her awareness of interesting information. Notification systems play an important role in delivering up-to-date, important information via such devices. We have been developing a novel push-style notification system that delivers a succession of new messages onto the mobile terminal display in a well-timed manner. This system increases the probability of the user discovering interesting information from among a stream of items shown one after another, and accessing the network to get more details if desired. Needless to say, the appropriateness of the message to be notified is important to the user. To make a push-style notification system more useful and comfortable for users, however, it is also essential to deliver the information without interrupting the user's on-going task. Furthermore, some mechanism that can recover from the user's failure to notice a message is also needed. We fold all these abilities into the one term of "message reachability", and propose a comprehensive and flexible push-style notification system. One of its main features is a Bayesian "notification user model" which takes task state, user state and user characteristic into consideration. The other is an adaptive notification control mechanism based on the user model, and a compensation mechanism to handle messages that the user missed. This paper details the user model and message control mechanisms, and concludes by showing implementation details.
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自适应通知系统,保证消息可达性
各种各样的信息交流设备已经被开发出来,以帮助人们保持对有趣信息的意识。通知系统在通过这些设备提供最新的重要信息方面发挥着重要作用。我们一直在开发一种新颖的推送式通知系统,它可以及时地将一系列新消息发送到移动终端显示屏上。该系统增加了用户从一个接一个显示的项目流中发现有趣信息的概率,并且如果需要,可以访问网络以获得更多细节。不用说,要通知的消息的适当性对用户来说非常重要。然而,要使推送式通知系统对用户更有用、更舒适,还必须在不中断用户正在进行的任务的情况下传递信息。此外,还需要某种能够从用户注意到消息的失败中恢复的机制。我们将这些功能整合为一个术语“消息可达性”,并提出了一个全面灵活的推送式通知系统。其主要特征之一是贝叶斯“通知用户模型”,该模型考虑了任务状态、用户状态和用户特征。另一种是基于用户模型的自适应通知控制机制,以及处理用户错过的消息的补偿机制。本文详细介绍了用户模型和消息控制机制,最后给出了实现细节。
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