18227884. GAZE-BASED COMMAND DISAMBIGUATION simplified abstract (Apple Inc.)
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 18227884 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 by integrating linguistic input with sensor data related to the user and their environment.
- Analysis of user's environment to identify objects
- Second analysis triggered by user input like gaze location
- Results used to resolve ambiguity in user's linguistic input
Potential Applications
This technology could be applied in various fields such as virtual reality, augmented reality, smart home devices, and interactive gaming systems.
Problems Solved
1. Ambiguity in user commands 2. Enhancing user experience in human-computer interactions
Benefits
1. Improved accuracy in understanding user commands 2. Enhanced user experience 3. Increased efficiency in human-computer interactions
Potential Commercial Applications
"Enhanced Human-Computer Interaction Technology for Smart Devices"
Possible Prior Art
There may be prior art related to sensor integration in human-computer interactions, but specific examples are not provided in the patent application.
Unanswered Questions
The patent application does not address the potential privacy implications of collecting and analyzing user data. It would be important to consider how this technology ensures user privacy and data security.
What are the potential limitations or challenges in implementing this technology in real-world applications?
The patent application does not discuss any potential limitations or challenges that may arise in implementing this technology. It would be essential to consider factors such as cost, scalability, and compatibility with existing systems when deploying this technology commercially.
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.
