18432998. INTERFACING WITH APPLICATIONS VIA DYNAMICALLY UPDATING NATURAL LANGUAGE PROCESSING simplified abstract (GOOGLE LLC)

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INTERFACING WITH APPLICATIONS VIA DYNAMICALLY UPDATING NATURAL LANGUAGE PROCESSING

Organization Name

GOOGLE LLC

Inventor(s)

Quazi Hussain of Mountain View CA (US)

Adam Coimbra of Los Altos CA (US)

Ilya Firman of Sunnyvale CA (US)

INTERFACING WITH APPLICATIONS VIA DYNAMICALLY UPDATING NATURAL LANGUAGE PROCESSING - A simplified explanation of the abstract

This abstract first appeared for US patent application 18432998 titled 'INTERFACING WITH APPLICATIONS VIA DYNAMICALLY UPDATING NATURAL LANGUAGE PROCESSING

Simplified Explanation: The patent application describes a system that can interact with applications through natural language processing of audio signals, enabling the execution of functions within the applications based on user input.

Key Features and Innovation:

  • Dynamic interfacing with applications through natural language processing of audio signals
  • Identification and activation of applications based on user input
  • Modification of natural language processing techniques based on application functions
  • Detection of parameters in audio signals for input into applications
  • Generation and execution of action data structures within applications

Potential Applications: This technology could be applied in various fields such as virtual assistants, smart home devices, customer service automation, and hands-free operation of software applications.

Problems Solved:

  • Streamlining user interaction with applications
  • Enhancing accessibility for individuals with disabilities
  • Improving efficiency in executing functions within applications

Benefits:

  • Simplified user experience
  • Increased productivity and convenience
  • Enhanced accessibility for a wider range of users

Commercial Applications: Potential commercial applications include voice-controlled devices, automated customer service systems, and software applications that can be operated hands-free.

Prior Art: Readers interested in exploring prior art related to this technology may start by researching advancements in natural language processing, audio signal processing, and human-computer interaction.

Frequently Updated Research: Researchers in the field may find ongoing studies on improving natural language processing accuracy, optimizing audio signal processing algorithms, and enhancing user experience in human-computer interaction.

Questions about Dynamic Interfacing with Applications: 1. How does the system determine which application to activate based on the input audio signal? 2. What are the potential challenges in modifying the natural language processing technique based on the functions declared by applications?


Original Abstract Submitted

Dynamic interfacing with applications is provided. For example, a system receives a first input audio signal. The system processes, via a natural language processing technique, the first input audio signal to identify an application. The system activates the application for execution on the client computing device. The application declares a function the application is configured to perform. The system modifies the natural language processing technique responsive to the function declared by the application. The system receives a second input audio signal. The system processes, via the modified natural language processing technique, the second input audio signal to detect one or more parameters. The system determines that the one or more parameters are compatible for input into an input field of the application. The system generates an action data structure for the application. The system inputs the action data structure into the application, which executes the action data structure.