Life Plan Proposal Device Dynamic Event Estimation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies struggle to generate a future plan for users that remains relevant and aligned with their current state, especially when the timing of predicted events deviates from the original prediction.
Innovation Solution
A life plan proposal device and method that acquire attribute and living condition information from users, generate additional attribute information, estimate likely life events and their timing, and output a life plan based on these estimates, without requiring additional information from the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If future plan information is generated based on user basic information and ideal future plan, then the future plan can be created, but the timing of predicted events often deviates from the prediction making the plan useless
Solution Approach 1:
The system dynamically updates the life plan by continuously acquiring updated attribute information and living condition information, then re-estimating life events and generating corrected future plan information. This dynamic adjustment mechanism allows the plan to adapt to actual life events and timing deviations, resolving the contradiction between initial prediction accuracy and long-term adaptability.
Solution Approach 2:
The system incorporates feedback loops where user reactions to generated future plan information are acquired, and this feedback is used to correct and update the future plan information. Additionally, the system continuously monitors actual life events and uses this information to refine predictions, thereby improving both timing accuracy and adaptability over time.
2Adaptability or versatility
If the life plan is generated without additional user information, then the system can maintain relevance with current state, but the system requires sophisticated information generation methods
Solution Approach 1:
The system performs self-service by automatically acquiring updated attribute information and living condition information without requiring explicit user input for each update. The information generation method autonomously processes available data to estimate life events and generate corrected future plan information, maintaining alignment with user current state while managing system complexity through automated workflows.
Solution Approach 2:
The system uses intermediary processes including an information generation method that acts as a mediator between raw data and life plan output. This intermediary layer processes and transforms acquired information into meaningful life event estimates and plan corrections, simplifying the overall system architecture while maintaining high adaptability to user current state.
Data Source
AI summary
An acquisition unit of a life plan proposal device acquires attribute information indicating a user and living condition information relevant to a living condition of the user. An expansion unit adds additional attribute information of the user by an information generation method using the acquired attribute information. An estimation unit estimates a life event that is likely to happen in the user's life and a time of the life event by using the attribute information including the added attribute information, and the living condition information of the user. An output unit outputs a life plan generated by using information of the estimated life event.