Mobile Notification Reissue System for Response Completion

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Mobile users often forget to respond to notifications due to lack of reminders, leading to delayed or missed actions, which can cause misunderstandings and antipathy between users and senders.

Innovation Solution

A cognitive computer system assigns classifications to notifications, derives expected response actions and times based on prior user profiles, and reissues notifications if the expected action is not taken within the expected time frame.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If push notifications are sent to users, then user engagement increases, but users may forget to respond to notifications

Engineering Contradiction:

Improveuser engagementVSAvoidresponse completion

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system performs preliminary classification of notifications and derives expected response actions and timeframes before the user actually responds. This allows the system to proactively monitor and reissue notifications that are at risk of being forgotten, ensuring higher response completion rates while maintaining user engagement.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements a feedback mechanism by tracking whether users have performed expected actions in response to notifications. When users fail to respond within expected timeframes, the system reissues notifications to prompt completion, creating a closed-loop feedback system that improves response reliability without reducing engagement.

Inventive Principle:

Principle #23Feedback

2Loss of time

If notifications are reissued to remind users, then response time improves, but notification frequency increases

Engineering Contradiction:

Improveresponse delayVSAvoidnotification count

Core Design Contradiction:

Loss of timeVSQuantity of substance

Solution Approach 1:

The system applies different treatment to different notifications based on their classified importance and expected response requirements. High-priority notifications with expected actions receive reissuance reminders, while low-priority informational notifications do not. This selective approach reduces overall notification frequency while ensuring timely responses to critical notifications.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system pre-classifies notifications and determines expected response timeframes before sending them. This preliminary analysis allows the system to identify which notifications are likely to be forgotten and require reissuance, enabling targeted reminder strategies that minimize unnecessary notification reissuance while maintaining timely responses.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS10917488B2Predictive unactioned mobile notification processing

Publication Date: 2021.02.09 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

Aspects of the present invention provide an approach for processing a notification on a mobile device. In an embodiment, a set of classifications is assigned to a notification received by a user on a mobile device. An expected response action and an expected response time specific to the user is derived based on a comparison of the set of classifications assigned to the notification with a set of prior response profiles in a notification tracking repository. If the user does not perform a response action within the expected response time, the notification is reissued to the user.