Lock Screen Content Pre-Download for Offline Access

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Solution Overview

Problem

Current methods for delivering digital media content to smartphones are hindered by the need for continuous network access and the inconvenience of unlocking the device to access content, leading to interruptions and unsatisfactory user experiences, especially when offline.

Innovation Solution

A system and method that utilize network and content consumption monitoring, combined with Machine Learning models, to predict offline periods and pre-download content for display on the lock screen, ensuring seamless access without internet connectivity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If digital media content is delivered via a software application requiring continuous network access, then content can be loaded and updated, but the user experience is disrupted when network connectivity is unavailable and the display screen remains greyed out during loading

Engineering Contradiction:
Improvecontent access reliabilityVSAvoiduser experience continuity
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system pre-loads digital media content onto the user device before network disconnection occurs. The lock screen platform downloads and stores content locally in advance, so that when the user locks the device or network connectivity is lost, the pre-loaded content remains accessible and displayable without interruption or greyed-out screens.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If the user must unlock the smartphone and open the respective APP to access digital media content, then content security is maintained, but the user has to perform multiple operations to view their favourite content

Engineering Contradiction:
Improvecontent securityVSAvoidcontent access convenience
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The lock screen platform serves multiple functions: it acts as both a security barrier (requiring device unlock) and a content delivery interface (displaying media without requiring APP opening). The system integrates content viewing capability directly into the lock screen, allowing users to consume pre-loaded media content without navigating to separate applications, thus reducing operational steps while maintaining security.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Reliability

If content is downloaded continuously to ensure availability, then offline access is enabled, but data usage increases and battery consumption rises

Engineering Contradiction:
Improveoffline content availabilityVSAvoiddata and battery consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

Instead of downloading all possible content or continuously updating content, the system downloads only a partial set of content that is most likely to be consumed based on user preferences and usage patterns. The lock screen platform intelligently selects and pre-loads specific media items rather than exhaustive content sets, reducing data usage and associated energy consumption while maintaining adequate offline availability.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20250016263A1System and Method for Downloading Content for Display on a Lock Screen
Publication Date: 2025.01.09 GLANCE INMOBI PTE LIMITED
  • US20250016263A1 patent drawing
  • US20250016263A1 patent drawing
  • US20250016263A1 patent drawing

AI summary

Disclosed is a method for downloading a volume of content to a user device (100-2). The method includes steps of a) detecting one or more network connectivity events associated with the user device (100-2), b) determining a consumption of content by a user when content is displayed on a lock screen of the user device (100-2), c) predicting a next time interval during which the user device is unlikely to have the network connectivity, d) predicting a first volume of content likely to be consumed by the user in a predefined time duration, e) determining, based on the first volume of content, a second volume of content likely to be consumed by the user in the predicted next time interval, f) sending a request to a content server (100-4) for downloading the second volume of content before the predicted next time interval.