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Apparatus and Method for Intelligent Task Scheduling Disclosure Number: IPCOM000247129D
Publication Date: 2016-Aug-09
Document File: 2 page(s) / 48K

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The Prior Art Database


An intelligent task scheduling system optimised for maximum user productivity and velocity. Using environmental, personal and observed input, the system will schedule the predefined tasks. As data accumulates, the cognitive processor will learn to detect patterns in the input to produce a more pragmatic schedule tailored to fit an individual's preferences and abilities. The scheduler will also have the ability to adapt in the face of unexpected changes in the input and reschedule accordingly, the result being a realistic, adaptable and real time schedule.

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Apparatus and Method for Intelligent Task Scheduling

In a working environment, an employee has a number of tasks that need completing. The scheduling of these tasks is typically performed by the employee or their supervisor. Therefore, either the supervisor schedules tasks for an employee with little insight of their most productive hours, current mood or average estimated time to perform a certain task, or an employee sets a schedule for themselves, and either overestimates, or underestimates their ability to deliver in the given time.

    The problem with this current scenario is that a human's productivity is effected by many varying factors, such as the weather, news, time of day, skill level, mood and so on. Not considering any one of these variables may result in an unrealistic schedule that ultimately leads to less productivity and time wastage. This real-time automated task scheduler will consider environmental and personal factors to produce an adaptable, personalised and realistic schedule optimised for maximum productivity.

    The system will consist of the following cycle: 1. The input:
Task list: task list, priority and the task completion status.


Environmental Variables: time of the day, weather, news, etc.


Personal variables: This covers both manual input that a user


would enter themselves, and observed input that will be calculated by the system by measuring a user's performance.

2. The intelligent processing of the input.

3. The output: an optimised schedule personalised for each individual.

4. The measuring of the user's performance against the predefined schedule.

There are several advantages to this approach:

The scheduler will not follow a waterfall methodology in which the final step is to produce the schedule, but instead will continue to receive input and measure the user's performance and reschedule when necessary to produce the most realistic and adaptable schedule possible.

The intelligent processor will gradually learn a user's work patterns and personal preferences and will therefore be optimised for maximum productivity.

    These advantages will allow for a practical schedule most suited for a user's needs and preferences.

    Previous attempts to create scheduling systems relied merely on the task list and a closed set of predefined rules. The reality is however that managing time is a complicated matter that is highly dependent on factors that may vary from one individual to another. To achieve a schedule optimised for maximum user productivity the system will receive a considerable amount of data as input that will be processed by a highly intelligent processor.

    The system's input will consist of the task list, the environmental and the personal variables. The task list will be the predefined set of tasks needing completion within a given time; the priority, estimated length, difficulty and status of completion for each task. The environmental variables consist of factors such as the day of the week, we...