Schedule Suggestion Workflow for Low-Effort Day Planning
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Solution Overview
Problem
Existing systems fail to efficiently support users in determining both transportation means and day-schedules, leading to increased user effort in planning and managing their schedules.
Innovation Solution
A schedule management system that includes a storage device and processor to execute a schedule management program, featuring day-schedule and action-schedule suggestion modules, which calculate probabilities and suggest schedules based on user inputs and participant approvals, reducing the need for manual planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a system provides only transportation means search and reservation, then the system complexity is low, but the user effort in determining day-schedule increases
Solution Approach 1:
The system segments the schedule determination process into multiple independent components: day-schedule suggestion module, action-schedule suggestion module, probability calculation module, and participant feedback module. Each module handles a specific aspect of schedule planning, allowing the system to provide comprehensive schedule management without overwhelming complexity.
Solution Approach 2:
The system performs preliminary actions by automatically generating day-schedule and action-schedule suggestions before user decision-making. The suggestion modules pre-calculate optimal schedules based on registered information and probability calculations, reducing the user's effort in manual planning while maintaining system manageability.
2Extent of automation
If the system automatically determines schedules, then user effort is reduced, but the extent of automation increases system complexity
Solution Approach 1:
The system implements self-service by enabling automatic schedule determination through integrated modules that autonomously generate suggestions, calculate probabilities, and coordinate with participants. The day-schedule and action-schedule suggestion modules automatically process registered information and produce schedule recommendations without requiring manual user intervention, achieving high automation while managing complexity through modular design.
Solution Approach 2:
The system incorporates feedback mechanisms where participant responses to schedule suggestions are automatically processed. The feedback from participants influences subsequent schedule determinations, allowing the automated system to adapt and improve while maintaining manageable complexity through iterative refinement rather than complex upfront programming.
3Productivity
If the system selects day-schedules with calculated probabilities, then the productivity of schedule planning increases, but the measurement precision of probability calculation increases system complexity
Solution Approach 1:
The system changes parameters by calculating probabilities based on multiple factors including user preferences, participant availability, and schedule constraints. The probability calculation module dynamically adjusts these parameters to generate optimized schedule suggestions, improving planning efficiency while managing complexity through systematic parameter management rather than overly precise calculations.
Data Source
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AI summary
A schedule management apparatus is provided with a storage device that stores a schedule management program and a processor that reads out and executes the schedule management program. The schedule management program is provided with a first day-schedule suggestion means, a second day-schedule suggestion means, and a day-schedule registration means. The first day-schedule suggestion means determines, based on a registered schedule of a set participant, a suggestion day-schedule that is a day-schedule to be suggested to the participant, and suggests the determined suggestion day-schedule to a user included in the participant. The second day-schedule suggestion means confirms, based on an answer from the user, the determined suggestion day-schedule with the participant except the user. The day-schedule registration means generates, based on an answer from the participant, a day-schedule notification signal that notifies the participant of the suggestion day-schedule, and registers the suggestion day-schedule in the registered schedule of the participant.