Predictive Digital Data Acquisition for Mobile Devices

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Solution Overview

Problem

Mobile computing devices face limitations in accessing digital data when network availability is unreliable, leading to frustration for users who have not pre-loaded necessary data, as they depend on constant network access for digital asset retrieval.

Innovation Solution

Implementing predictive digital data acquisition on mobile devices, which monitors usage data to pre-store digital assets locally when usage patterns indicate impending completion or high interest, allowing users to access related content without network dependency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If mobile computing devices depend on network availability to access digital data, then network-based resource access is enabled, but user capability is curtailed when network access is unavailable

Engineering Contradiction:

Improvedigital data access capabilityVSAvoidnetwork dependency

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system monitors usage data of digital media assets and proactively retrieves additional digital media data before the user needs it, storing it locally on the mobile device. This preliminary action ensures that when network access becomes unavailable, the user can still access the pre-loaded content without interruption, resolving the contradiction between network dependency and access reliability

Inventive Principle:

Principle #10Preliminary action

2Reliability

If usage data is monitored and additional digital media data is retrieved proactively, then data availability without network dependency is achieved, but device complexity increases

Engineering Contradiction:

Improvedata availabilityVSAvoidpredictive acquisition system

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system automatically monitors usage data and retrieves additional digital media content without requiring user intervention. The mobile device autonomously tracks what content the user is consuming and proactively loads related content, eliminating the need for manual user actions while managing the complexity through automation

Inventive Principle:

Principle #25Self-service

3Measurement precision

If search results are ranked based on usage data, then search relevance is improved, but processing complexity increases

Engineering Contradiction:

Improvesearch result relevanceVSAvoidsearch processing

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system uses usage data as feedback to dynamically rank search results. By continuously monitoring how users interact with digital media assets and incorporating this feedback into the search ranking algorithm, the system improves result relevance while the complexity is managed through automated data processing

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS9104670B2Customized search or acquisition of digital media assets

Publication Date: 2015.08.11 APPLE INC

AI summary

Improved techniques for using usage data are disclosed. The usage data can pertain to a user of an electronic device. The usage data can be monitored and recorded on the electronic device. The improved techniques are particularly useful when the electronic device is a mobile electronic device. In one embodiment, the usage data can be used to enhance searching of digital assets, such as digital media assets, resident at a local or remote repository. In another embodiment, the usage data can be used to determine content to be resident locally on the electronic device. In still another embodiment, the usage data can be used to present (e.g., display) information on the electronic device.