View source for 18670508. PASSIVE DISAMBIGUATION OF ASSISTANT COMMANDS simplified abstract (Google LLC)

=PASSIVE DISAMBIGUATION OF ASSISTANT COMMANDS=


==Organization Name==

[[:Category:Google LLC|Google LLC]]


[[Category:Google LLC]]

==Inventor(s)==

[[:Category:Brett Barros of San Mateo CA (US)|Brett Barros of San Mateo CA (US)]][[Category:Brett Barros of San Mateo CA (US)]]

[[:Category:Theo Goguely of Mill Valley CA (US)|Theo Goguely of Mill Valley CA (US)]][[Category:Theo Goguely of Mill Valley CA (US)]]

==PASSIVE DISAMBIGUATION OF ASSISTANT COMMANDS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18670508 titled 'PASSIVE DISAMBIGUATION OF ASSISTANT COMMANDS

**Simplified Explanation:**
The patent application describes an automated assistant that can predict and execute commands based on user input, while also suggesting alternative commands that may be relevant. Users can select these alternative commands, allowing the assistant to quickly switch between different tasks.

**Key Features and Innovation:**
* Automated assistant predicts and executes commands based on user input.
* Provides suggestions for alternative commands that may be relevant.
* Users can select alternative commands to pivot between tasks efficiently.

**Potential Applications:**
This technology can be applied in various industries such as customer service, virtual assistants, smart home devices, and more.

**Problems Solved:**
This technology addresses the need for efficient task switching and personalized assistance based on user input.

**Benefits:**
* Improved user experience with personalized suggestions.
* Efficient task switching for the automated assistant.
* Enhanced productivity and responsiveness to user needs.

**Commercial Applications:**
* "Automated Assistant Command Prediction and Execution Technology for Enhanced User Experience"
* This technology can be used in customer service chatbots, virtual assistants, smart home devices, and other automated systems to improve user interactions and task efficiency.

**Prior Art:**
Researchers can explore prior art related to automated assistants, natural language processing, and predictive technologies in the field of artificial intelligence.

**Frequently Updated Research:**
Stay updated on advancements in natural language processing, machine learning, and user interaction technologies to enhance the capabilities of automated assistants.

**Questions about Automated Assistant Technology:**
1. How does this technology improve user interactions with automated systems?
2. What are the potential challenges in implementing predictive command execution in automated assistants?


==Original Abstract Submitted==

Implementations set forth herein relate to an automated assistant that can initialize execution of an assistant command associated with an interpretation that is predicted to be responsive to a user input, while simultaneously providing suggestions for alternative assistant command(s) associated with alternative interpretation(s) that is/are also predicted to be responsive to the user input. The alternative assistant command(s) that are suggested can be selectable such that, when selected, the automated assistant can pivot from executing the assistant command to initializing execution of the selected alternative assistant command(s). Further, the alternative assistant command(s) that are suggested can be partially fulfilled prior to any user selection thereof. Accordingly, implementations set forth herein can enable the automated assistant to quickly and efficiently pivot between assistant commands that are predicted to be responsive to the user input.



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