Smartphone Audio Content Detection for App Discovery
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Solution Overview
Problem
In the crowded marketplace of consumer electronic devices, apps struggle to gain traction due to ineffective discovery methods, with users relying on searching app stores or friend recommendations, which have not scaled well with the market's growth, and artists lack control over how their content is presented and experienced.
Innovation Solution
A system where a microphone-equipped device samples ambient content to identify data, which is used to recommend and install corresponding apps, allowing content to select the software, optimizing the device to the user's preferences, and enabling artists to specify how their work is experienced.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users search app stores or rely on friend recommendations to discover apps, then users can find apps, but the discovery method does not scale well with market growth and is ineffective in the crowded marketplace
Solution Approach 1:
The system enables content to automatically select and recommend apps without requiring users to manually search or evaluate the crowded app marketplace. Content proprietors specify which apps should be selected when their content is detected, creating a self-service mechanism that bypasses the complexity of manual app discovery in a saturated market.
Solution Approach 2:
The system introduces an intermediary mechanism where content itself (through embedded identifiers or metadata) acts as a mediator between the user and the app selection process. When the system detects content through the microphone, it automatically retrieves and recommends the associated app, eliminating the need for users to navigate the complex app store ecosystem.
2Adaptability or versatility
If artists have no control over how their content is presented, then content can be freely distributed, but artists lack control over the user experience and continuity between artistic intention and delivery
Solution Approach 1:
The system establishes a feedback loop where content proprietors can specify which apps should be selected when their content is detected. This feedback mechanism ensures that the artist's intended experience is communicated back to the user through the system, maintaining continuity between artistic intention and actual delivery while still allowing flexible distribution.
3Ease of operation
If the system automatically recommends and installs apps based on content detection, then app discovery is simplified and user experience is optimized, but the system requires content identification capabilities and app store integration
Solution Approach 1:
The system performs preliminary actions by having content proprietors pre-specify which apps should be selected when their content is detected. This advance preparation eliminates the need for complex real-time decision-making during content playback, as the app selection criteria are already established in the content metadata or associated records.
Data Source
AI summary
Methods and arrangements involving portable devices, such as smartphones and tablet computers, are disclosed. One particular arrangement concerns a software program that is launched following detection of audio content performed by a first musical artist. A phone can be provided with plural such software programs, tailored to respond to different types of detected content. Another aspect of the disclosed technology enables a creator of content to select software with which that creator's content should be rendered—assuring continuity between artistic intention and delivery. A great variety of other features and arrangements are also detailed.