Adaptive Notification Device for Transaction Deadline Management
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Solution Overview
Problem
Conventional devices fail to provide timely notifications for transaction deadlines, leading to suboptimal user reaction levels as they do not adjust notification times unless the user accesses a webpage for requesting a transaction.
Innovation Solution
A notifying device that adjusts the notification time interval based on user reactions, calculating and updating the interval to improve the reaction level by sending notifications at appropriate times before deadlines, considering factors like access rates and response times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed notification time interval is used before transaction deadlines, then the notification system is simple to operate, but the user reaction level is suboptimal because notification times cannot be adjusted based on user behavior
Solution Approach 1:
The notification time interval is transformed from a fixed value to a dynamic parameter that automatically adjusts based on user reaction patterns. The system monitors user actions (accessing transaction pages, completing transactions) and modifies the notification interval accordingly, making the system adaptive rather than static.
Solution Approach 2:
The system implements a feedback mechanism where user responses to notifications are continuously monitored and fed back into the notification timing algorithm. The calculation unit computes reaction levels based on user actions, and this feedback loop enables the system to learn from user behavior and optimize notification timing over time.
2Reliability
If the notification time is adjusted to optimize user reaction level, then the effectiveness of notifications improves, but the device complexity increases due to additional calculation and updating units
Solution Approach 1:
The notification system performs self-optimization by automatically monitoring its own performance metrics (user reaction levels) and adjusting its parameters without external intervention. The calculation unit and updating unit work autonomously to improve notification timing based on accumulated user behavior data.
Solution Approach 2:
The system optimizes notification effectiveness by dynamically changing the time interval parameter based on user reaction patterns. Rather than redesigning the entire notification architecture, the invention focuses on adjusting this single critical parameter through automated calculation and updating mechanisms.
3Loss of time
If notifications are sent too early before deadlines, then users have ample time to react, but the notification may be overlooked or forgotten reducing its effectiveness
Solution Approach 1:
The notification timing is made dynamic rather than fixed, allowing the system to adapt the optimal notification lead time based on individual user behavior patterns. Users who respond quickly receive later notifications, while slower responders receive earlier notifications, optimizing the balance between response time and attention.
4Reliability
If notifications are sent too close to the deadline, then users are more likely to notice and act, but users may miss the notification entirely leading to missed transactions
Solution Approach 1:
The system uses feedback from user reaction patterns to determine the optimal notification timing. By monitoring whether users access transaction pages after receiving notifications and how quickly they respond, the system learns the ideal lead time for each user, balancing the need for user attention with sufficient response time.
Data Source
AI summary
A notifying device (300) includes an information obtaining unit (320) obtaining, for each of the plurality of transactions, a notification date and hour preceding by a set time interval from the deadline for each transaction. The notifying device (300) includes a notification sending unit (370) sending, to a user who watches each transaction, a notification of the deadline for each transaction after the notification date and hour obtained for each transaction comes. The notifying device (300) also includes a calculating unit (340) calculating a reaction level to the notifications sent by the notification sending unit for the plurality of transactions based on an action taken for each transaction by the deadline thereof by the user to whom the notification associated with each transaction is sent. The notifying device (300) further includes an updating unit (350) updating the time interval so as to improve the calculated reaction level.


