SYSTEM AND METHOD FOR GENERATING DYNAMIC VISUAL ARTIFACTS THAT SIMULATE EMOTIONAL EXPERIENCES

Smart overview of the Invention

A system and method are proposed for creating visual content that resonates emotionally with users. This involves receiving multimodal data, which includes design elements and emotion input data connected to specific emotional states. The system determines emotion encoding parameters for these states, generates synthetic visual content, and displays it through a user interface. Users can manipulate the emotion input data or target emotional states to alter the displayed content.

Technical Field

The technology relates to using machine learning and generative models for design generation. It addresses the need for creating designs that are not only functional but also emotionally engaging. Designers traditionally rely on intuition and experience, which can be subjective and time-consuming. The proposed system aims to streamline this process through automation and data-driven insights.

Background

Designers strive to create emotionally impactful designs across various fields such as product design and user experience. Current design processes are often manual, iterative, and subjective, relying heavily on the designer's skills. Despite advancements in digital tools, integrating emotional attributes into designs remains challenging due to its reliance on intuition rather than systematic approaches.

Detailed Description

The disclosed system provides a method for generating emotionally resonant designs using machine learning techniques. A trained emotion-visual generative model learns correlations between visual elements and emotions from multimedia datasets. Designers input their preferences via an interface, allowing the model to generate and refine designs that convey targeted emotions effectively. This approach saves time and enhances creativity by automating emotional expression in design.

Benefits

The system offers several advantages over traditional design tools by automating the generation of emotionally resonant content. It reduces the time designers spend on manual iterations, allowing them to focus on creative tasks. The data-driven approach ensures that designs align with real-world emotional associations, enhancing user engagement. The system's flexibility enables rapid prototyping and customization, making it applicable across various design domains.