Look After: A Context-Aware Mobile Computing Based Smart Agent to Manage Personal Events

Bilas Halder, Md. Hridoy Chowdhury, Md. Saidur Rahman Kohinoor
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Abstract

Look-After is a mobile-based smart assistant which ensures effectiveness and simplicity to use. It enables the user to keep track of all of his tasks and events in a personalized manner. This virtual agent learns about users' context based on the information acquired from their email and contacts in terms of their proper authorization and permission. By utilizing these learnings, it automatically detects any future events, schedules, or appointments the user has and dynamically generates a task in the application to act as an online guide and notify the user on time. Along with other features, this application can serve as a one-stop service for all its user schedule management. With progressively being shared our communication and information online, this type of smart agent which can dynamically understand its user's schedule would be a great help and streamlined. Due to the simple UI/UX and requirements, any user or even organization can easily adapt to the system. When it gets merely the read-only rights of a user's email, the smart app can work on detecting keywords with the help of our pre-defined Regular Expression (RegEx) to identify any upcoming events/tasks. This also leaves room for the use of Machine Learning to generate more precise keywords, that can better identify possible schedules of the user. Our work suggests a context-aware mobile computing-based environment, where the user will be made aware of his schedules beforehand, and be part of a social environment, where activities can be shared and discussed with others according to convenience.
照看:一个基于上下文感知移动计算的智能代理来管理个人事件
照顾是一个基于移动的智能助手,确保有效和简单的使用。它使用户能够以个性化的方式跟踪他的所有任务和事件。这个虚拟代理根据从用户的电子邮件和联系人获得的信息,根据用户的适当授权和权限,了解用户的上下文。通过利用这些学习,它可以自动检测用户拥有的任何未来事件、日程安排或约会,并在应用程序中动态生成一个任务,作为在线指南并及时通知用户。与其他功能一起,该应用程序可以作为所有用户日程管理的一站式服务。随着我们的交流和信息逐渐在网上共享,这种可以动态了解用户日程安排的智能代理将会有很大的帮助和简化。由于简单的UI/UX和需求,任何用户甚至组织都可以很容易地适应系统。当它只获得用户电子邮件的只读权限时,智能应用程序可以在我们预定义的正则表达式(RegEx)的帮助下检测关键字,以识别任何即将到来的事件/任务。这也为使用机器学习来生成更精确的关键字留下了空间,这可以更好地识别用户可能的时间表。我们的工作提出了一个基于上下文感知的移动计算环境,在这个环境中,用户将事先知道他的日程安排,并成为社会环境的一部分,在这个环境中,活动可以根据方便与他人共享和讨论。
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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