Google llc (20240221747). ACTION VALIDATION FOR DIGITAL ASSISTANT-BASED APPLICATIONS simplified abstract
Contents
ACTION VALIDATION FOR DIGITAL ASSISTANT-BASED APPLICATIONS
Organization Name
Inventor(s)
Dharma Muppalla of Lawrenceville NJ (US)
Nikhil Rao of Santa Clara CA (US)
ACTION VALIDATION FOR DIGITAL ASSISTANT-BASED APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240221747 titled 'ACTION VALIDATION FOR DIGITAL ASSISTANT-BASED APPLICATIONS
- Simplified Explanation:**
The patent application discusses a system that validates actions in a digital assistant-based application by generating trigger phrases and queries for input into the application.
- Key Features and Innovation:**
- System identifies an application with a conversational interface. - Selects an action from an action repository. - Generates trigger phrases for input into the application. - Executes the application to process the trigger phrase. - Identifies parameters used by the application to execute the action. - Generates queries based on the parameters and trigger phrases.
- Potential Applications:**
- Digital assistants - Conversational interfaces - Application automation
- Problems Solved:**
- Streamlining actions in digital assistant-based applications - Enhancing user interaction with applications - Improving efficiency in executing actions
- Benefits:**
- Simplifies user interaction with applications - Increases automation capabilities - Enhances user experience with digital assistants
- Commercial Applications:**
Potential commercial uses include enhancing customer service chatbots, automating tasks in business applications, and improving user engagement in mobile apps.
- Questions about the Technology:**
1. How does this system improve the efficiency of digital assistant-based applications? 2. What are the potential implications of this technology on user experience and application automation?
Original Abstract Submitted
validating actions in a digital assistant-based application is provided. the system identifies an application with a conversational interface. the system selects an action from an action repository and generates, via a natural language processor, a trigger phrase for input into the application. the system executes the application to process the trigger phrase to identify an action of the application. the system identifies a parameter used by the application to execute the action, and generates, based on the parameter and via execution of the conversational interface of the application, a first query responsive to the trigger phrase.
