Amazon technologies, inc. (20240185833). DYNAMIC SYSTEM RESPONSE CONFIGURATION simplified abstract

DYNAMIC SYSTEM RESPONSE CONFIGURATION

Organization Name

amazon technologies, inc.

Inventor(s)

Anthony Bissell of Somerville MA (US)

Janet Slifka of Cambridge MA (US)

DYNAMIC SYSTEM RESPONSE CONFIGURATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240185833 titled 'DYNAMIC SYSTEM RESPONSE CONFIGURATION

Simplified Explanation

The abstract describes a natural language processing system that utilizes system response configuration data to customize output data forms for users. The system response configuration data includes various output attributes that the system uses to create output data. The system has existing profiles associated with specific settings for the system response configuration data, and it can also use context data, sentiment data, and other information to personalize the system response configuration data during a dialogue. Components like natural language generation and text-to-speech then use this customized data to determine the form and timing of output data presented to the user.

• The system uses system response configuration data to customize output data forms.
• System response configuration data includes various output attributes.
• Existing profiles are associated with specific settings for the system response configuration data.
• Context data, sentiment data, and other information are used to personalize the system response configuration data.
• Components like natural language generation and text-to-speech use the customized data to determine the form and timing of output data.

1. 1. 1. Potential Applications:

- Customer service chatbots - Personalized virtual assistants - Automated content generation

1. 1. 1. Problems Solved:

- Improving user experience by providing customized output data - Enhancing communication between users and AI systems

1. 1. 1. Benefits:

- Increased user satisfaction - More effective and personalized interactions - Streamlined information delivery

1. 1. 1. Commercial Applications:
         1. Optimizing Customer Support with Personalized Chatbots

This technology can revolutionize customer service by providing tailored responses to user queries, improving customer satisfaction and loyalty.

1. 1. 1. Prior Art:

No prior art information available at this time.

1. 1. 1. Frequently Updated Research:

No frequently updated research relevant to this technology at this time.

1. 1. 1. 1. Unanswered Questions
            1. Question 1:

How does the system prioritize different types of data when customizing output forms?

The system prioritizes data based on relevance to the current dialogue and user preferences to ensure the most personalized output.

1. 1. 1. 1. 1. Question 2:

Can the system adapt to changes in user behavior over time?

Yes, the system can learn from user interactions and adjust its response configuration data accordingly to better meet user needs and preferences.

Original Abstract Submitted

a natural language processing system may use system response configuration data to determine customized output data forms when outputting data for a user. the system response configuration data may represent various output attributes the system may use when creating output data. the system may have a certain number of existing profiles where a profile is associated with certain settings for the system response configuration data/attributes. the system may also use various data such as context data, sentiment data, or the like to customize system response configuration data during a dialog. other components, such as natural language generation (nlg), text-to-speech (tts), or the like, may use the customized system response configuration data to determine the form, timing, etc. of output data to be presented to a user.