Patents by Inventor Patricia Gillis

Patricia Gillis has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240089221
    Abstract: There is much data that is currently not being captured during user interaction with mobile apps that could provide insight into how to effectively address a user concern. Capturing such data may allow auto-adjustments of operational responses provided by mobile apps in response to detecting anomalous user inputs. Such anomalous user inputs may include keyboard dynamics or mobile device movement that deviate from an average or user specific levels. Such anomalous user inputs may indicate that a user concern is particularly urgent. Auto-adjustments to operation of a mobile app may include initiating targeted chatbot or live chat responses.
    Type: Application
    Filed: November 21, 2023
    Publication date: March 14, 2024
    Inventors: Taylor Farris, Patricia Gillis
  • Patent number: 11870739
    Abstract: There is much data that is currently not being captured during user interaction with mobile apps that could provide insight into how to effectively address a user concern. Capturing such data may allow auto-adjustments of operational responses provided by mobile apps in response to detecting anomalous user inputs. Such anomalous user inputs may include keyboard dynamics or mobile device movement that deviate from an average or user specific levels. Such anomalous user inputs may indicate that a user concern is particularly urgent. Auto-adjustments to operation of a mobile app may include initiating targeted chatbot or live chat responses.
    Type: Grant
    Filed: May 17, 2022
    Date of Patent: January 9, 2024
    Assignee: Bank of America Corporation
    Inventors: Taylor Farris, Patricia Gillis
  • Publication number: 20230396566
    Abstract: There is much data that is currently not being captured during user interaction with mobile apps that could provide insight into how to effectively address a user concern. Capturing such data may allow auto-adjustments of operational responses provided by mobile apps in response to detecting anomalous user inputs. Such anomalous user inputs may include keyboard dynamics or mobile device movement that deviate from an average or user specific levels. Such anomalous user inputs may indicate that a user concern is particularly urgent. Auto-adjustments to operation of a mobile app may include initiating targeted chatbot or live chat responses.
    Type: Application
    Filed: May 17, 2022
    Publication date: December 7, 2023
    Inventors: Taylor Farris, Patricia Gillis