Continuous Listening Device Media Priority Automation
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Solution Overview
Problem
Users face frustration in managing the priority of media assets on personal recording devices, as they often forget to update settings during conversations, leading to important programs being deleted or not recorded.
Innovation Solution
A system and method using continuous listening devices to determine the frequency and positivity of user discussions about media assets, automatically updating their priority based on user interactions, eliminating the need for manual updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually update priority settings for media assets, then accuracy of priority reflection is improved, but user effort and time required to maintain settings increases
Solution Approach 1:
The system automatically monitors user conversations and updates media asset priorities without requiring manual user intervention. The continuous listening device captures audio, the natural language understanding process analyzes the content, and the media guidance application automatically updates priorities based on detected user interest, allowing the system to serve itself rather than requiring ongoing manual configuration.
Solution Approach 2:
The system implements a feedback loop where user conversations about media assets are continuously monitored, analyzed, and used to update priority settings. The natural language understanding process converts spoken feedback into actionable data, which then modifies the priority assignments, creating a dynamic system that responds to user preferences in real-time.
2Reliability
If users manually update priority settings, then control over media assets is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically monitors user conversations and updates media asset priorities without requiring manual user intervention. The continuous listening device captures audio, the natural language understanding process analyzes the content, and the media guidance application automatically updates priorities based on detected user interest, allowing the system to serve itself rather than requiring ongoing manual configuration.
Solution Approach 2:
The patent replaces the mechanical interaction of manual button presses and interface operations with an automated system that uses audio processing and natural language understanding. Instead of users physically interacting with the system to update priorities, the system automatically interprets spoken conversations and translates them into priority updates, eliminating the need for mechanical user input.
3Difficulty of detecting and measuring
If continuous listening device processes all audio, then detection of user interest is improved, but energy consumption increases
Solution Approach 1:
The audio processing system operates in segments rather than continuously analyzing all audio streams. The continuous listening device captures audio continuously but processes and analyzes only portions of the audio that contain relevant keywords or phrases, segmenting the processing task to reduce energy consumption while maintaining effective detection capability.
Solution Approach 2:
The system performs partial processing by analyzing only the most relevant portions of audio content. Instead of processing every word and sentence, the natural language understanding process focuses on identifying key phrases and keywords that indicate user interest in media assets, applying excessive action only when necessary to confirm interest rather than systematically analyzing all audio.
Data Source
AI summary
Systems and methods are described herein for automatically changing the priority of a media asset using a continuous listening device. The system may receive an audio clip of a conversation a user, and then determine whether that conversation relates to any of the programs recorded or scheduled to be recorded on a storage device associated with the user. In response to determining that the media asset does relate to one of the programs recorded or scheduled to be recorded on the storage device, a user profile may be consulted to determine past instances of the user discussing the media asset, and, if a measure of the total number of instances the user discussed the media asset meets a threshold measure, the priority of the media asset may be updated.