Adaptive Playlist Generation for Virtual Environments
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users in virtual environments must manually select and arrange music playlists, which is tedious and results in static playlists that do not adapt to changing situational contexts, leading to user fatigue from repetitive music.
Innovation Solution
A method to generate dynamic playlists based on user interactions and situational characteristics within the virtual environment, using stored music preference data indexed by song properties and situational factors like activity, location, and mood, to provide adaptive music playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually select and arrange music playlists, then users have control over music selection, but the process is tedious and results in static playlists that do not adapt to changing situational contexts
Solution Approach 1:
The system automatically generates and updates playlists by monitoring user interactions with virtual objects and determining situational context, eliminating the need for manual playlist creation and updating while adapting to changing user situations
Solution Approach 2:
The system continuously monitors user interactions with virtual objects and uses this feedback to dynamically adjust playlist content, creating playlists that adapt to changing situational contexts without manual intervention
2Ease of operation
If static playlists are used, then playlist structure is simple, but user fatigue occurs from repetitive music that does not match changing situations
Solution Approach 1:
The system transitions from static playlists to dynamic playlists that automatically update based on real-time monitoring of user interactions and situational context, allowing the music selection to adapt to changing user situations without increasing operational complexity
3Adaptability or versatility
If automated playlist generation is implemented, then playlist adaptability to situational context is improved, but system complexity increases
Solution Approach 1:
The system uses a multi-functional approach where the virtual object interaction monitoring system serves dual purposes: tracking user gameplay behavior and providing contextual data for playlist generation, thereby achieving context-aware playlists without adding separate dedicated systems
Data Source
AI summary
Embodiments of the invention provide techniques for generating song playlists for use in an immersive virtual environment. Generally, playlists may be generated based on stored music preference data. The music preference data may be generated by storing user interactions with specific songs. The user interactions may be associated with characteristics of the user's situational context within the virtual world. The music preference data may be indexed by song name, and/or by musical properties. Subsequently, the music preference data may be used to generate a playlist adapted to the user's current situation within the virtual world.


