Liyanage A.N, A.G.A. Madhushanka D, U.M. Uduwara L, W.M.S. D Jayarathne, S. Siriwardana, Shyam Reyal, W.K. Mithsara M
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引用次数: 1
摘要
目前,大学生在日常工作和个人琐事中管理好自己的工作量已经成为一项挑战。很难有效地把时间花在应该优先考虑的任务上,也很难决定如何最好地利用剩下的时间。尽管存在集成方法和多功能时间管理工具(tmt),如Trello和Asana,但查找、跟踪和实现它们既耗时又单调。ScheduleME是一款智能数字个人助理,它将以移动应用程序的形式收集和存储学生必须完成的所有任务,根据其重要性对其进行优先排序,并根据学生现有的学术和个人时间表以及日常生活,在学生的剩余时间内智能地安排它们。一款用户友好且易于理解的手机应用应该向用户呈现适量的信息,而不是用户可以配置和覆盖的重要细节,而不是显示过多的信息,这样用户就会感到不知所措。这克服了许多时间管理和待办事项列表应用程序的弱点。(例如- Trello, Microsoft Tasks, Todoist),用户必须手动输入任务的所有细节并手动设置优先级。我们建议的系统主要强调四个主要组成部分。它们是数据工程、智能任务分解和调度、个性化任务调度和以用户为中心的交互设计。除此之外,该系统还采用了多种技术和算法来提高研究的准确性和效率。
ScheduleME - Smart Digital Personal Assistant for Automatic Priority Based Task Scheduling and Time Management
At present, it has become challenging for university students to manage their workload such assignments, projects etc. among their day-to-day tasks and personal chores. It has become hard to spend time efficiently on tasks that should be prioritized, and to decide what the best way to spend their remaining time is. Even though integration methods and multi-functional Time Management Tools (TMTs) such as Trello and Asana exist, finding, following, and implementing them is time consuming and monotonous. ScheduleME is a smart digital personal assistant, which will be in a form of a mobile app that collects and stores all the tasks the student must do, prioritize them according to their importance, schedule them intelligently across the student’s remaining time considering his/her existing academic and personal timetables and daily routines. A user-friendly and comprehensible mobile app is designed where the right amount of information is presented to the user without important details that user could conFigure and override and not show too much information such that the user becomes overwhelmed. This overcomes the weakness found in many time-management and to do list apps. (e.g. - Trello, Microsoft Tasks, Todoist) where the user must enter all the details of the tasks manually and set the priority manually. The main emphasis of our suggested system is four primary components. They are Data engineering, Intelligent task breakdown and scheduling, Personalized task scheduling and User-centered interaction design. Aside from that, this system employs a variety of technologies and algorithms to improve the research’s accuracy and efficiency.