Vocal and Movement Analysis for Content Preference Detection

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Solution Overview

Problem

Users face difficulty in selecting a song that is consistent with their current listening experience when consuming content randomly, as they cannot manually select a similar song without accessing their device or playlist.

Innovation Solution

A system that analyzes user vocal utterances and movements to determine preferences by comparing them to song components like lyrics, melody, tempo, and rhythm, using microphones, accelerometers, and cameras to detect and rank user interactions, thereby selecting a similar song for playback.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If content is consumed on a random basis, then content variety is improved, but consistency with previous content deteriorates

Engineering Contradiction:

Improvecontent varietyVSAvoidcontent consistency

Core Design Contradiction:

Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The system automatically analyzes user reactions (vocal utterances, movements) to determine content preferences and selects subsequent content based on this feedback, creating a closed-loop system that maintains consistency without manual intervention

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs automatic content selection based on user reactions, making the content selection process self-service rather than requiring manual user intervention to maintain consistency

Inventive Principle:

Principle #25Self-service

2Stability of the object's composition

If manual song selection is implemented, then content consistency is improved, but ease of operation deteriorates

Engineering Contradiction:

Improvecontent consistencyVSAvoidmanual selection effort

Core Design Contradiction:

Stability of the object's compositionVSEase of operation

Solution Approach 1:

The system automatically monitors user reactions and selects content based on detected preferences, eliminating the need for manual song selection while maintaining content consistency

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system uses real-time feedback from user vocal and physical reactions to automatically determine content preferences and select subsequent content, replacing manual selection operations

Inventive Principle:

Principle #23Feedback

3Ease of operation

If automated content selection is implemented, then ease of operation is improved, but device complexity increases

Engineering Contradiction:

Improveautomatic content selectionVSAvoidanalysis system complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system uses multi-functional sensors (microphone for both audio playback and vocal reaction detection, accelerometer for both device orientation and movement detection) to reduce overall system complexity while achieving automated content selection

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS9928835B1Systems and methods for determining content preferences based on vocal utterances and/or movement by a user

Publication Date: 2018.03.27 AMAZON TECH INC

AI summary

This disclosure relates to systems and methods for determining when a user likes a piece of content based, at least in part, on analyzing user responses to the content. In one embodiment, the user's response may be monitored by audio and motion detection devices to determine when the user's vocals or movements are emulating the content. When the user's emulation exceeds a threshold amount the content may be designated as “liked.” In certain instances, a similar piece of content may be selected to play when the current content is finished.