Audio Manager Group Profile Social Value
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Solution Overview
Problem
Conventional social environment applications provide predetermined audio, failing to dynamically accommodate the unique audio preferences and tastes of individual users, leading to a uniform experience that may not resonate with all participants.
Innovation Solution
An audio management system that determines audio segments based on a group music profile, aggregating individual user preferences, and adjusts audio rendering according to user dispositions and social value metrics, selecting audio segments from a collective pool provided by users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If predetermined audio is provided for all users, then device complexity is reduced and ease of operation is improved, but adaptability to individual user preferences deteriorates
Solution Approach 1:
The system pre-generates music profiles for users based on their listening habits and preferences before audio selection is needed. These profiles are stored and automatically applied when users interact with the social environment, eliminating the need for real-time analysis and reducing computational complexity during audio selection.
Solution Approach 2:
The patent introduces music profiles as an intermediary layer between user preferences and audio selection. Instead of directly analyzing user preferences during audio selection, the system uses pre-computed music profiles that serve as mediators, simplifying the selection process while maintaining adaptability to individual tastes.
2Productivity
If predetermined audio is used, then implementation is simpler and faster, but user engagement and satisfaction deteriorate due to uniform audio experience
Solution Approach 1:
Music profiles are generated in advance based on user listening history and preferences, storing pre-analyzed audio preferences. During actual audio selection, the system simply retrieves and applies these pre-computed profiles, achieving both speed and customization without real-time computational overhead.
Solution Approach 2:
The system dynamically adjusts audio parameters based on user-specific music profiles, changing tempo, genre, intensity, and other audio characteristics to match individual user preferences while maintaining efficient selection through pre-defined profile parameters.
3Ease of operation
If audio is customized for each user, then user satisfaction is improved, but system complexity and computational requirements increase
Solution Approach 1:
The system performs complex audio preference analysis in advance, generating music profiles that capture user tastes, genres, and listening patterns. This preliminary processing shifts computational complexity from real-time audio selection to offline profile generation, making the actual audio selection simple and efficient.
Solution Approach 2:
Instead of analyzing user preferences from scratch during each audio selection event, the system creates simplified copies of user preferences in the form of music profiles. These profile copies contain essential preference information that can be quickly applied without repeating the full analysis process.
Data Source
AI summary
Example embodiments herein include an audio manager that identifies at least one user in a social environment (e.g., multiplayer gaming environment). Each user in the social environment has a respective user music profile that contains audio attributes for various types of audio. The audio manager combines the user music profile from each user to form a group music profile. The audio manager further identifies a selection of audio segments to be rendered in the social environment that match the group music profile. Additionally, the audio manager processes the selection of audio segments against the audio attributes of at least one user to determine an audio segment to be rendered in the social environment. In one embodiment, the audio manager processes the selection of audio segments in accordance with a social value metric. In turn, the audio manager renders the audio segment in the social environment in accordance with the social value metric.