Apple inc. (20240096319). GAZE-BASED COMMAND DISAMBIGUATION simplified abstract
Contents
- 1 GAZE-BASED COMMAND DISAMBIGUATION
GAZE-BASED COMMAND DISAMBIGUATION
Organization Name
Inventor(s)
Kenneth M. Karakotsios of Scotts Valley CA (US)
James Byun of Los Angeles CA (US)
Pulah J. Shah of Cupertino CA (US)
GAZE-BASED COMMAND DISAMBIGUATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240096319 titled 'GAZE-BASED COMMAND DISAMBIGUATION
Simplified Explanation
The patent application describes improved techniques for human-computer interactions, specifically focusing on disambiguating a human user's linguistic command. Here is a simplified explanation of the abstract:
- Integrating linguistic input from a user with additional input from sensors to enhance human-computer interactions.
- Analyzing imagery of a user's environment to identify objects and trigger further analysis based on user input.
- Resolving ambiguities in linguistic user input by utilizing data from the user and their environment.
Potential Applications
The technology could be applied in virtual assistants, smart home devices, and augmented reality systems to enhance user interactions and improve user experience.
Problems Solved
The technology addresses the challenge of accurately interpreting and responding to human linguistic commands in various environments, leading to more efficient and effective human-computer interactions.
Benefits
- Enhanced user experience through improved accuracy in interpreting user commands. - Increased efficiency in human-computer interactions. - Personalized responses based on user input and environmental context.
Potential Commercial Applications
The technology could be utilized in voice-controlled devices, smart home systems, virtual reality applications, and other interactive technologies to provide more intuitive and seamless user experiences.
Possible Prior Art
One potential prior art could be existing natural language processing systems that aim to improve the accuracy of interpreting user commands. Additionally, technologies that integrate sensor data with user input may also be considered as prior art.
Unanswered Questions
The article does not address the potential privacy implications of collecting and analyzing user data in the context of human-computer interactions.
What are the limitations of this technology in terms of accuracy and scalability?
The article does not discuss any potential limitations of the technology in terms of accuracy in resolving ambiguities or scalability to different environments and user scenarios.
Original Abstract Submitted
aspects of the subject technology provide improved techniques for human-computer interactions including disambiguation of a human user's linguistic command. the improved techniques may include integrating linguistic input from a user with additional input from sensors relating to the user and the user's environment. in an aspect, imagery of a user's environment may be first analyzed to identify objects in the environment. input regarding the user, such as a user's gaze location, may trigger a second analysis of a subset of the identified objects in the environment. the results of these analyses may then be used to resolve an ambiguity in linguistic user input from the user.
