Content Output Feature Optimization via Sensor Feedback

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Individuals face difficulties in manually determining optimal content output features for consuming content on computing devices, such as font size, font type, and display brightness, which can lead to suboptimal content consumption rates.

Innovation Solution

A system and process where a computing device analyzes input data, including gaze tracking and sensor data, to automatically modify content output features, such as font size and display brightness, to optimize content consumption by identifying settings that increase reading speed and overall content access.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If individuals manually modify content output features, then personalization is improved, but time consumption and difficulty increase

Engineering Contradiction:

ImprovepersonalizationVSAvoidtime consumption

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system automatically modifies content output features by analyzing sensor data and consumption patterns without requiring manual user input. The computing device self-adjusts font size, brightness, and other features based on detected environmental conditions and user behavior, eliminating the time users would otherwise spend manually configuring these parameters.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors content consumption data and sensor inputs, then uses this feedback to automatically adjust content output features. This closed-loop approach allows the system to learn from user behavior patterns and environmental conditions, progressively improving personalization without additional user time investment.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If individuals manually determine optimal content output features, then customization is improved, but complexity and difficulty increase

Engineering Contradiction:

ImprovecustomizationVSAvoidconfiguration complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The computing device automatically determines optimal content output features by analyzing sensor data and consumption patterns, eliminating the need for users to navigate complex configuration settings. The system handles the complexity of optimizing multiple parameters (font size, brightness, layout) autonomously based on detected conditions.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-configures optimal content output features based on environmental sensors and user profiles before content consumption begins. This preliminary automatic configuration eliminates the need for users to manually adjust settings during the consumption process, simplifying the user experience while maintaining high customization.

Inventive Principle:

Principle #10Preliminary action

3Ease of operation

If content output features are manually adjusted, then user control is improved, but productivity and consumption rate decrease

Engineering Contradiction:

Improveuser controlVSAvoidcontent consumption rate

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The system automatically optimizes content output features to maximize consumption rate without requiring manual user adjustments. By self-adjusting parameters like font size and brightness based on real-time sensor data, the system maintains high productivity while preserving the ability for users to override settings when desired.

Inventive Principle:

Principle #25Self-service

4Measurement precision

If optimal content output features are determined through manual trial and error, then precision is improved, but time and effort increase

Engineering Contradiction:

Improveoptimization precisionVSAvoidtrial and error time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system uses automated feedback loops to monitor content consumption metrics and sensor data, then adjusts content output features accordingly. This eliminates manual trial and error by continuously measuring actual consumption patterns and automatically optimizing parameters based on detected performance, achieving high precision without user time investment.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary automatic optimization of content output features based on initial sensor readings and user profiles before consumption begins. This pre-configuration achieves precise optimization without requiring users to spend time on iterative manual adjustments during the consumption process.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS10140957B1Controlling content output features to optimize content consumption

Publication Date: 2018.11.27 AMAZON TECH INC

AI summary

A computing device may output content including text content, audio content, and video content according to one or more content output features. The content output features may include font features and page layout features for text content, volume and playback rate for audio content, and playback rate for video content. In some cases, a consumption rate of content by the individual may be determined to identify values of content output features that may increase consumption of content by the individual. The settings for the content output features may be modified to correspond with the values that provide increased consumption of content.