Ambient Content Recognition for Automatic App Installation

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Solution Overview

Problem

In the crowded marketplace of consumer electronic devices, apps struggle to gain traction due to inadequate discovery methods, with users relying on searching app stores or friend recommendations, which have not scaled well with the market's growth, leading to difficulties for content providers to reach their target audience effectively.

Innovation Solution

A system where a microphone-equipped user device samples ambient content, generates content-identifying data, and looks up recommended apps from the content proprietor, automatically installing and launching the appropriate app, optimizing the device to the user's content preferences without user intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If users rely on searching app stores or friend recommendations to discover apps, then users can find and install apps, but the discovery method does not scale well with market growth and struggles to reach target audience effectively

Engineering Contradiction:
Improveapp discovery efficiencyVSAvoiddiscovery system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system enables self-service app discovery by allowing content itself to carry identification data that automatically triggers app installation. The content propagates its own discovery mechanism through embedded identifiers, eliminating the need for complex external discovery systems while scaling efficiently with market growth

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent introduces an intermediary mechanism where content identification data serves as a mediator between content and apps. This intermediary carries the necessary information to trigger appropriate app installation, simplifying the discovery process while maintaining effectiveness across the growing marketplace

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If content providers use traditional discovery methods, then they can reach some users, but they cannot effectively reach their target audience in the crowded marketplace

Engineering Contradiction:
Improvetarget audience reachVSAvoidcontent proprietor control
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The system applies preliminary action by embedding content identification data into content during the content creation process. This pre-prepared identification mechanism ensures that when the content is consumed, the appropriate app is automatically triggered, guaranteeing reliable delivery to the target audience while maintaining the content proprietor's control over the delivery mechanism

Inventive Principle:
Principle #10Preliminary action

3Ease of operation

If the system automatically installs and launches apps based on content identification, then user experience is optimized based on content consumption habits, but the system requires sophisticated content identification and matching capabilities

Engineering Contradiction:
Improveuser experience optimizationVSAvoidcontent identification system complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system enables self-service by allowing content to carry its own identification data that automatically triggers the appropriate app installation. This eliminates the need for complex user decisions while maintaining simple operation, as the content itself provides the necessary information for automatic app selection and installation

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS10971171B2Smartphone-based methods and systems
Publication Date: 2021.04.06 DIGIMARC LLC
  • US10971171B2 patent drawing
  • US10971171B2 patent drawing
  • US10971171B2 patent drawing

AI summary

Arrangements involving portable devices (e.g., smartphones and tablet computers) are disclosed. One arrangement enables a content creator to select software with which that creator's content should be rendered—assuring continuity between artistic intention and delivery. Another utilizes a device camera to identify nearby subjects, and take actions based thereon. Others rely on near field chip (RFID) identification of objects, or on identification of audio streams (e.g., music, voice). Some technologies concern improvements to the user interfaces associated with such devices. For example, some arrangements enable discovery of both audio and visual content, without any user requirement to switch modes. Other technologies involve use of these devices in connection with shopping, text entry, and vision-based discovery. Still other improvements are architectural in nature, e.g., relating to evidence-based state machines, and blackboard systems. Yet other technologies concern computational photography. A great variety of other features and arrangements are also detailed.