Emotional Rating Interface for Digital Assets
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Solution Overview
Problem
Current digital asset rating systems primarily rely on star ratings and tags, which do not effectively capture user emotions, limiting personalized playlist creation and media organization based on emotional associations.
Innovation Solution
A graphical user interface is introduced to allow users to associate emotions with digital assets using icons, enabling the creation of playlists, shuffling of media collections, and searching for assets based on emotional tags.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If star ratings and tags are used to rate digital assets, then the rating system is simple and easy to implement, but it cannot effectively capture user emotions
Solution Approach 1:
The patent segments the emotion rating process into distinct components: emotion selection through graphical icons, intensity adjustment through separate controls, and application to digital assets. This segmentation allows the system to capture nuanced emotional data while maintaining user-friendly operation through organized, modular interaction elements.
Solution Approach 2:
The patent adds a new dimension to traditional rating systems by introducing emotional categories and intensity levels beyond simple star ratings. Users can select from multiple emotion types (e.g., happy, sad, excited) and adjust intensity, transforming a one-dimensional star scale into a multi-dimensional emotional assessment space.
2Adaptability or versatility
If emotion tagging is implemented for digital assets, then personalized playlist creation and media organization are enhanced, but the user interface and interaction complexity increase
Solution Approach 1:
The emotion rating system serves multiple functions: it rates digital assets, tags them with emotional metadata, enables playlist creation based on emotions, supports media organization, and facilitates searching. This multi-functionality allows diverse operations through a unified emotion-based interface, reducing the need for separate systems for each function.
Solution Approach 2:
The patent uses graphical user interface elements such as icons and visual representations that replicate familiar interaction patterns from existing media players and rating systems. By copying familiar UI metaphors and visual languages, the system reduces the learning curve while introducing sophisticated emotion-based functionality.
3Loss of information
If conventional tag systems are used, then digital assets can be categorized, but they cannot provide nuanced emotional associations for media organization
Solution Approach 1:
The patent changes the parameters of traditional tagging by introducing emotional categories and intensity levels. Instead of simple categorical tags, the system uses parametric emotion ratings that capture both the type of emotion and its strength, providing richer information while maintaining structured data organization through defined parameter ranges and categories.
Data Source
AI summary
Improved techniques are disclosed to associate emotions (or feelings) with digital assets, such as digital media assets. In one embodiment, a graphical user interface can be presented to assist a user in associating emotions or feelings with a digital asset (e.g., digital media asset). The emotions of a user can be graphically represented by images, such as icons. For example, by selecting one or more of the images or manipulating a user control in relation to the images, a user can associate (e.g., tag) emotions to a digital asset. Once digital assets are associated (e.g., tagged) with one or more emotions, operations (e.g., playlist creation, search, shuffle, etc.) can be performed based on emotions.