18750561. ENROLLMENT WITH AN AUTOMATED ASSISTANT simplified abstract (GOOGLE LLC)

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ENROLLMENT WITH AN AUTOMATED ASSISTANT

Organization Name

GOOGLE LLC

Inventor(s)

Diego Melendo Casado of Mountain View CA (US)

Tuan Nguyen of San Jose CA (US)

Jaclyn Konzelmann of Mountain View CA (US)

Gustavo Moura of Boulder CO (US)

Tanya Kraljic of Ridgewood NJ (US)

ENROLLMENT WITH AN AUTOMATED ASSISTANT - A simplified explanation of the abstract

This abstract first appeared for US patent application 18750561 titled 'ENROLLMENT WITH AN AUTOMATED ASSISTANT

The abstract describes techniques for dialog-based enrollment of individual users for single and/or multi-modal recognition by an automated assistant, as well as determining responses based on the enrolled user. Dialog-based enrollment allows users to enroll themselves through a human-computer dialog with the assistant.

  • Automated assistant enables dialog-based enrollment for users
  • Users can enroll themselves through a human-computer dialog
  • Responses are determined based on the enrolled user
  • Single and/or multi-modal recognition is supported
  • Eliminates the need for a graphical user interface for enrollment

Potential Applications: This technology can be applied in various industries such as security systems, access control, personalization services, and customer support.

Problems Solved: The technology simplifies the enrollment process for users, enhances security through multi-modal recognition, and improves user experience with personalized responses.

Benefits: Improved user experience, enhanced security, streamlined enrollment process, and personalized responses based on user recognition.

Commercial Applications: This technology can be utilized in security systems, smart devices, virtual assistants, and customer service applications to enhance user experience and security measures.

Questions about Dialog-Based Enrollment: 1. How does dialog-based enrollment improve user experience compared to traditional methods? Dialog-based enrollment simplifies the process for users and enables personalized responses based on user recognition, enhancing overall user experience.

2. What are the potential security implications of using dialog-based enrollment for multi-modal recognition? Multi-modal recognition enhances security measures by combining different biometric modalities for user identification, reducing the risk of unauthorized access.


Original Abstract Submitted

Techniques are described herein for dialog-based enrollment of individual users for single-and/or multi-modal recognition by an automated assistant, as well as determining how to respond to a particular user's request based on the particular user being enrolled and/or recognized. Rather than requiring operation of a graphical user interface for individual enrollment, dialog-based enrollment enables users to enroll themselves (or others) by way of a human-to-computer dialog with the automated assistant.