Content Output Modification for Difficult Dialogue and Scene Clarity

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Solution Overview

Problem

Users experience frustration while viewing content due to volume inconsistencies, accents, poor lighting, and distractions, which existing output controls fail to address efficiently, often increasing user frustration.

Innovation Solution

Systems and methods automate selective modification of content output based on user data and analysis, offering options like closed captioning, alerts for important portions, and adjustments to audio and video settings to enhance user experience.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If automated output modification is implemented, then user experience is improved, but device complexity increases

Engineering Contradiction:
Improveuser experienceVSAvoidsystem complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary system that acts as a mediator between the content delivery system and the user device. This intermediary analyzes content metadata, determines appropriate output modifications, and communicates recommendations to the user device. By placing the complex analysis and decision-making logic in this intermediary layer rather than within the user device itself, the patent improves user experience through automated modifications while minimizing the complexity burden on individual user devices.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If manual output controls are provided, then user customization is improved, but user frustration increases due to time-consuming operations

Engineering Contradiction:
Improveoutput customizationVSAvoidtime spent adjusting controls
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent performs preliminary analysis of content characteristics and generates output modification recommendations before the user actually views the content. By analyzing metadata, dialogue portions, audio levels, and video quality in advance and preparing customization options beforehand, the system eliminates the need for users to manually adjust controls during content consumption. This preliminary action provides both adaptability through customized recommendations and time efficiency by eliminating manual adjustment operations.

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If content analysis is performed to identify problematic portions, then accuracy of modifications is improved, but processing time increases

Engineering Contradiction:
Improvecontent analysis accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent extracts and utilizes content metadata as a separate, pre-prepared data structure that contains information about dialogue portions, audio levels, video quality, and other content characteristics. By extracting this analytical information into metadata that can be generated independently and stored separately from the actual content delivery, the system achieves accurate content analysis without requiring time-consuming processing during content playback. The metadata serves as a pre-computed reference that enables precise modification recommendations.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS20260019681A1Selective Modification of Content Output to Enhance User Experience
Publication Date: 2026.01.15 COMCAST CABLE COMM LLC
  • US20260019681A1 patent drawing
  • US20260019681A1 patent drawing
  • US20260019681A1 patent drawing

AI summary

Systems, apparatuses, and methods are described for selectively modifying output of one more portions of a content item. Selective modifications may comprise enabling closed captioning for portions with difficult-to-understand dialogue, alerts of upcoming portions of a content item, skipping or replaying portions of a content item, volume adjustments, and/or contrast adjustments. Output modification may be automatic or partially automatic (e.g., based on acceptance after a prompt).