AI Content Summaries for Cross-Session Reading Continuity

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Consuming digital content over multiple user sessions results in a loss of continuity and immersion due to the passage of time, making it difficult for users to maintain context and recall previously encountered material, leading to reduced comprehension and re-engagement challenges.

Innovation Solution

An electronic device and AI model are used to generate personalized summaries based on user interactions during previous sessions, incorporating annotations and highlights, to facilitate continuity and enhance recall.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If digital content is consumed over multiple user sessions, then user flexibility and accessibility are improved, but continuity and context maintenance deteriorate

Engineering Contradiction:

Improveuser flexibilityVSAvoidcontext continuity

Core Design Contradiction:

Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The system performs preliminary action by generating summaries of previously consumed content before the user returns to continue reading. The AI model processes historical interaction data and creates condensed versions of past content, enabling the user to quickly re-orient themselves without re-consuming the entire previous content.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The summary generation system acts as an intermediary between the user's fragmented reading sessions and the original digital content. It processes historical interactions and presents condensed information that bridges the gap between sessions, maintaining context continuity while allowing flexible access patterns.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Loss of information

If the system summarizes all digital content, then comprehensive information is provided, but relevance and user engagement deteriorate

Engineering Contradiction:

Improveinformation completenessVSAvoiduser engagement

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The system extracts only the relevant information from the digital content based on user interaction patterns. The AI model analyzes which portions of content the user has engaged with most and prioritizes summarizing those specific segments, rather than treating all content uniformly.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The summary generation applies local quality by tailoring the summarization process to specific portions of content based on user interaction history. Different sections of content receive different levels of summarization attention depending on their relevance to the user's reading patterns and engagement history.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20260003483A1Enhanced summary generation of digital content

Publication Date: 2026.01.01 RAKUTEN KOBO

AI summary

A device may provide, during a user session, a graphical user interface (GUI) configured to present digital content to a user associated with the user session. A portion of the digital content may be associated with an interaction that occurred earlier in time than the user session. The device may generate, using an artificial intelligence model configured for summarization, a summary based on the portion of the digital content. The device may present, by the GUI, the summary.