Adaptive Playlist Sequencing for Real-Time Mood Transition
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Solution Overview
Problem
Current devices for influencing a user's emotional state through audio playback do not consider real-time changes in the user's emotional state, leading to ineffective mood transitions and a lack of personalized media content selection.
Innovation Solution
A system that generates a playlist based on a user's current and desired emotional states, using sensors to monitor brain activity and adjust the playlist dynamically to influence the user's mood by selecting media content with specific parameters that transition the emotional state from current to desired.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed playlist is used for mood influence, then the system complexity is reduced, but the effectiveness of mood transition deteriorates due to lack of real-time adaptation
Solution Approach 1:
The patent implements dynamic playlist generation by continuously monitoring user emotional state through sensors and adjusting media content selection in real-time. The system transitions from static pre-defined playlists to dynamic adaptive playlists that respond to changing emotional states, ensuring optimal mood transition effectiveness while maintaining manageable system complexity through automated feedback loops.
Solution Approach 2:
The system employs feedback mechanisms by monitoring user emotional state through sensors (e.g., heart rate, skin conductance, facial expression analysis) and using this information to adjust the playlist dynamically. This closed-loop feedback ensures the playlist remains effective for the current emotional state, resolving the contradiction between system simplicity and transition effectiveness.
2Ease of operation
If generic media content is selected without personalization, then the ease of operation is improved, but the adaptability to individual user needs deteriorates
Solution Approach 1:
The system performs self-service by automatically monitoring user emotional state and selecting appropriate media content without requiring manual user input. The system autonomously adjusts the playlist based on detected emotional parameters, maintaining ease of operation while achieving high personalization through automated adaptation to individual user responses.
Solution Approach 2:
The system changes media content parameters (genre, tempo, mood) dynamically based on detected user emotional state parameters. By continuously adjusting content parameters to match desired emotional transitions, the system achieves personalized mood transition while keeping the interface simple and automatic.
3Measurement precision
If real-time emotional state monitoring is implemented, then the measurement precision of user state is improved, but the device complexity increases due to additional sensors and processing
Solution Approach 1:
The system achieves multi-functionality by using a single integrated platform that combines multiple sensor types (physiological sensors, facial expression analysis, voice analysis) and processing capabilities. This universal platform performs both emotional state detection and media content selection, reducing overall device complexity while maintaining high measurement precision through coordinated multi-modal sensing.
Data Source
AI summary
In some embodiments, a method comprises receiving a first signal indicative of a current emotional state of a user, receiving a second signal corresponding to a desired emotional state of the user, and based on the first and second signals, generating a playlist of media content including a first item and an nth item. The first signal can be received from a wearable sensor. Generating the playlist can comprise selecting items of media content, and arranging the media content in a sequential order such that the playlist transitions from the first item toward the nth item. The method can further comprise playing back, via a playback device, at least the first item of the media content, and while playing back the first item, receiving a third signal indicative of an updated emotional state of the user.