US2023334827A1PendingUtilityA1
Methods and systems for providing images for facilitating communication
Est. expiryMay 29, 2039(~12.8 yrs left)· nominal 20-yr term from priority
Inventors:Ahn TruongVincent PhamFardin Abdi Taghi AbadJeremy GoodsittMark WatsonAustin WaltersKate KeyReza Farivar
G06V 10/764G10L 21/10G10L 15/22G06F 3/14G06F 16/53G10L 15/26G10L 21/06G06V 10/82G09B 21/009G10L 2021/065G09G 2354/00G06V 40/20G10L 2015/223
75
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Claims
Abstract
Aspects of the disclosure include computer-implemented methods and systems for providing generative adversarial network (GAN) digital image data. GAN digital image data corresponding to a suggested transaction for an identified customer can be determined.
Claims
exact text as granted — not AI-modified1 .- 21 . (canceled)
22 . A system for interacting with a customer, comprising:
a non-transitory memory storing instructions; and a processor that, when executing the instructions, cause the processor to:
determine generative artificial intelligence (AI) user preferences related to generative AI digital image data preferred by an identified customer;
receive a live voice communication of a service representative interacting with the identified customer;
translate the live voice communication into text;
generate an image, using the generative AI, based on a combination of the text and the user preferences; and
transmit the image to the identified customer for display.
23 . The system of claim 22 , wherein the generative AI is adversarial.
24 . The system of claim 22 , wherein the instructions further cause the processor to:
generate one or more secondary images, using the generative AI, based on a combination of the text and the user preferences; and transmit the image and the one or more secondary images to the identified customer for display as a video.
25 . The system of claim 22 , wherein the instructions further cause the processor to:
play audio data while the image is displayed.
26 . The system of claim 22 , wherein the instructions further cause the processor to:
display at least a portion of the text while the image is displayed.
27 . The system of claim 22 , wherein the instructions further cause the processor to:
receive feedback information comprising body language information for the identified customer; determine if the body language information signifies an inability to understand the live voice, a misunderstanding of the live voice, or displeasure with a user experience, or any combination thereof; analyze the body language information in order to identify help information; and store the help information for the identified customer.
28 . The system of claim 22 , wherein the instructions further cause the processor to:
receive feedback information comprising language spoken by the identified customer; determine if the language spoken by the user comprises pre-defined words signifying: an inability to understand the live voice, a misunderstanding of the live voice; or displeasure with a user experience, or any combination thereof; analyze the language spoken by the identified customer in order to identify help information; and store the help information for the identified customer.
29 . The system of claim 22 , wherein the instructions further cause the processor to:
receive feedback information from the identified customer, the feedback information indicating difficulty the identified customer has with understanding a transaction option; analyze the feedback information in order to identify help information; and store the help information for the identified customer.
30 . The system of claim 29 , wherein the feedback information comprises survey information.
31 . The system of claim 22 , wherein the user preferences comprise accessibility information associated with the identified customer.
32 . The system of claim 22 , wherein the user preferences comprise one or more transactions available to the identified customer.
33 . The system of claim 30 , wherein the image is associated with the one or more transactions, and wherein the instructions further cause the processor to:
determine a probability for each of the one or more transactions; and display the one or more transactions in an order based on the probability.
34 . The system of claim 30 , wherein the user preferences comprise historical transaction data.
35 . The system of claim 22 , wherein the instructions further cause the processor to:
receive identity information from a customer; and determine the customer is an identified customer based on the identity information.
36 . A computer-implemented method for providing images to a customer interacting with a service representative, comprising:
determining generative artificial intelligence (AI) user preferences related to generative AI digital image data preferred by an identified customer; receiving a live voice communication of a service representative interacting with the identified customer; translating the live voice communication into text; generating an image, using the generative AI, based on a combination of the text and the user preferences; and transmitting the image to the identified customer for display.
37 . The computer-implemented method of claim 34 , wherein the generative AI is adversarial.
38 . The computer-implemented method of claim 34 , further comprising:
generating one or more secondary images, using the generative AI, based on a combination of the text and the user preferences; and transmitting the image and the one or more secondary images to the identified customer for display as a video.
39 . A device for communicating with a customer, comprising:
a memory storing instructions; and a processor that, when executing the instructions, is configured to:
determine generative artificial intelligence (AI) user preferences related to generative AI digital image data preferred by an identified customer;
receive a live voice communication of a service representative interacting with the identified customer;
translate the live voice communication into text;
generate an image, using the generative AI, based on a combination of the text and the user preferences; and
transmit the image to the identified customer for display.
40 . The device of claim 39 , wherein the generative AI is adversarial.
41 . The device of claim 39 , wherein the processor is further configured to:
generate one or more secondary images, using the generative AI, based on a combination of the text and the user preferences; and transmit the image and the one or more secondary images to the identified customer for display as a video.Join the waitlist — get patent alerts
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