17957712. INTENTIONAL VIRTUAL USER EXPRESSIVENESS simplified abstract (Microsoft Technology Licensing, LLC)
Contents
- 1 INTENTIONAL VIRTUAL USER EXPRESSIVENESS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INTENTIONAL VIRTUAL USER EXPRESSIVENESS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
INTENTIONAL VIRTUAL USER EXPRESSIVENESS
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
Gino G. Buzzelli of New York NY (US)
Scott A. Schwarz of Seattle WA (US)
INTENTIONAL VIRTUAL USER EXPRESSIVENESS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17957712 titled 'INTENTIONAL VIRTUAL USER EXPRESSIVENESS
Simplified Explanation
The abstract describes a method and system for displaying the emotional states of a user through a graphical representation. This involves receiving a configuration instruction for an emotional state, detecting the user's emotional state using sentiment analysis, determining a modified emotional state for the graphical representation based on the detected emotional state and configuration instruction, selecting a facial animation rule based on the modified emotional state, and rendering the graphical representation using the selected rule.
- Configuration instruction for a first emotional state
- Detection of user's emotional state using sentiment analysis
- Determination of modified emotional state for graphical representation
- Selection of facial animation rule based on modified emotional state
- Rendering of graphical representation using selected rule
Potential Applications
This technology could be applied in various fields such as:
- Virtual reality
- Gaming
- Mental health monitoring
Problems Solved
This technology helps in:
- Providing a visual representation of user's emotional state
- Enhancing user experience in virtual environments
- Improving communication in digital interactions
Benefits
The benefits of this technology include:
- Enhanced user engagement
- Personalized user interactions
- Real-time emotional feedback
Potential Commercial Applications
This technology could be commercially applied in:
- Virtual reality gaming
- Online customer service platforms
- Educational software development
Possible Prior Art
One possible prior art could be the use of facial recognition technology in emotion detection and representation in digital environments.
Unanswered Questions
How does this technology impact user privacy?
This article does not address the potential privacy concerns that may arise from analyzing and displaying a user's emotional state through a graphical representation. It would be important to consider how user data is collected, stored, and used in this context.
What are the limitations of sentiment analysis in accurately detecting emotional states?
The article does not delve into the potential challenges or inaccuracies that may arise from using sentiment analysis to detect a user's emotional state. It would be essential to understand the reliability and limitations of this technology in real-world applications.
Original Abstract Submitted
A method and system for displaying an emotional states of a user using a graphical representation of the user are disclosed herein, including receiving a configuration instruction for a first emotional state, detecting an emotional state of the user using sentiment analysis, determining a modified emotional state for the graphical representation of the user based upon the detected emotional state of the user and the configuration instruction, selecting a rule from a set of facial animation rules based upon the modified emotional state and the detected emotional state of the user, and causing the graphical representation of the user to be rendered using the selected rule.
