Mood-Based Music Discovery System with Gamification
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Solution Overview
Problem
Existing music search and playback systems do not allow users to discover music based on their current mood or refine search results by category, era, or tempo, limiting personalized music selection and saving capabilities.
Innovation Solution
A system that enables users to select their mood from representative imagery on a user interface, filter results by song category and language, refine by era using sliding indicators, and adjust tempo, with a gamification module for rewarding music discovery activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the system determines mood automatically using sensors and algorithms, then music recommendation can be provided without user input, but the user cannot indicate their current mood or refine results by category, era, or tempo
Solution Approach 1:
The system divides mood indication into discrete visual options (icons representing different moods) that users can select, and separates the filtering process into distinct stages (mood selection, then category/era/tempo filtering). This segmentation makes the complex task of mood indication and refinement accessible through simple, sequential interactions.
Solution Approach 2:
The system adds multiple filtering dimensions (category, era, tempo) to the basic mood selection, allowing users to refine results along different axes. This dimensional expansion enables precise music discovery while maintaining a user-friendly interface through progressive filtering.
2Measurement precision
If the system provides comprehensive filtering options for category, era, and tempo, then music discovery precision is improved, but the user interface complexity increases
Solution Approach 1:
The system presents filtering options in a predetermined sequence (first mood selection, then category, then era, then tempo). This preliminary ordering of operations allows users to progressively refine results without being overwhelmed by all options at once, reducing perceived interface complexity while maintaining precision.
Solution Approach 2:
The interface dynamically adapts based on user selections - after choosing a mood, relevant category and era filters become available. This dynamic progression shows only relevant options at each stage, simplifying the interface while enabling comprehensive filtering when needed.
3Adaptability or versatility
If the system enables users to save their music discoveries, then users can access played songs again, but the system does not currently provide saving functionality
Solution Approach 1:
The system automatically saves music discoveries based on user interaction (playing, liking, or manually saving). This self-service approach allows users to preserve their favorites without complex manual operations, enhancing adaptability while keeping the saving mechanism simple and intuitive.
Data Source
AI summary
This invention relates to a system to search and play music/video as per user's mood and preferences through web or a user's net-enabled mobile communication device. The user can select his mood from the options available on the screen. The user can further filter/refine his/her mood-based music discovery results on the basis selection of the category/language of song/video; followed by selection of era and tempo of song/video. The software also includes a gamification module which awards the redeemable virtual coins and achievement badges to a user for outdoing others in content discovering, creating play-lists, saving discoveries, sharing content, etc.