Media Selector Machine for Dynamic Mood Adaptation

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Solution Overview

Problem

Existing audio processing systems fail to dynamically adjust music selections to match the emotional state and environmental conditions of users, such as drivers, leading to inappropriate mood changes during activities like driving.

Innovation Solution

A machine-led mood change system that uses a media selector machine to analyze play counts and arousal scores of media files, combined with biometric data and contextual information, to automatically select and play media that aligns with the user's target emotional state, thereby modifying their mood.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If radio stations or curated music selections are used, then music playback is provided, but the music mood may be inappropriate for the current state of the user or environmental conditions

Engineering Contradiction:
Improvemusic mood adaptabilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system pre-processes and analyzes music files to extract arousal scores and other mood-related features before playback. This preliminary analysis allows the system to quickly match music to user state without real-time complex processing, resolving the contradiction between adaptability and complexity

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system automatically monitors user biometric data (heart rate, temperature, galvanic skin response) and environmental conditions, then autonomously selects and adjusts music playback without manual intervention. This self-service approach enables mood adaptability while minimizing system complexity

Inventive Principle:
Principle #25Self-service

2Extent of automation

If manual music selection is required, then user control is maintained, but user attention and intervention are needed

Engineering Contradiction:
Improvemusic selection automationVSAvoiduser interaction requirement
Core Design Contradiction:
Extent of automationVSEase of operation

Solution Approach 1:

The system performs complete automatic music selection based on user biometric data and environmental conditions, eliminating the need for manual music selection. The system monitors user state continuously and autonomously adjusts playback, achieving high automation while maintaining ease of operation through minimal user interaction

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system continuously monitors user biometric feedback (heart rate, temperature, galvanic skin response) and uses this real-time data to dynamically adjust music selection. This closed-loop feedback mechanism enables high automation while ensuring the music remains appropriate to user state without requiring manual intervention

Inventive Principle:
Principle #23Feedback

3Reliability

If music mood does not match user state or environmental conditions, then music playback continues, but user safety and comfort may be compromised

Engineering Contradiction:
Improvemood appropriateness reliabilityVSAvoidmonitoring system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system pre-analyzes music files to extract arousal scores and mood characteristics before playback. This preliminary processing enables reliable mood matching by comparing pre-computed music features with real-time user state, achieving high reliability without adding complex real-time processing requirements

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors user biometric data and environmental conditions, then dynamically adjusts music playback to maintain appropriate mood alignment. This real-time feedback mechanism ensures reliability of mood appropriateness while using straightforward monitoring and adjustment logic to avoid excessive system complexity

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20250103278A1Machine-led mood change
Publication Date: 2025.03.27 GRACENOTE INC
  • US20250103278A1 patent drawing
  • US20250103278A1 patent drawing
  • US20250103278A1 patent drawing

AI summary

A machine is configured to identify a media file that, when played to a user, is likely to modify an emotional or physical state of the user to or towards a target emotional or physical state. The machine accesses play counts that quantify playbacks of media files for the user. The playbacks may be locally performed or detected by the machine from ambient sound. The machine accesses arousal scores of the media files and determines a distribution of the play counts over the arousal scores. The machine uses one or more relative maxima in the distribution in selecting a target arousal score for the user based on contextual data that describes an activity of the user. The machine selects one or more media files based on the target arousal score. The machine may then cause the selected media file to be played to the user.