Patents by Inventor Jumi Bhattacharyya

Jumi Bhattacharyya 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).

  • Machine learning analysis of user interface design
    Patent number: 11710064
    Abstract: Techniques and solutions are described for improving user interfaces, such as by analyzing user interactions with a user interface with a machine learning component. The machine learning component can be trained with user interaction data that includes an interaction identifier and a timestamp. The identifiers and timestamps can be used to determine the duration of an interaction with a user interface element, as well as patterns of interactions. Training data can be used to establish baseline or threshold values or ranges for particular user interface elements or types of user interface elements. Test data can be obtained that includes identifiers and timestamps. The time taken to complete an interaction with a user interface element, and optionally an interaction pattern, can be analyzed. If the machine learning component determines that an interaction time or pattern is abnormal, various actions can be taken, such as providing a report or user interface guidance.
    Type: Grant
    Filed: July 11, 2018
    Date of Patent: July 25, 2023
    Assignee: SAP SE
    Inventors: Sumaiya P K, Rajesh V, Natarajan Devaraj, Rohith M K, Jumi Bhattacharyya, Sangeetha Baburaj, Basavana Gouda S, Sai Bandaru
  • MACHINE LEARNING ANALYSIS OF USER INTERFACE DESIGN
    Publication number: 20200019418
    Abstract: Techniques and solutions are described for improving user interfaces, such as by analyzing user interactions with a user interface with a machine learning component. The machine learning component can be trained with user interaction data that includes an interaction identifier and a timestamp. The identifiers and timestamps can be used to determine the duration of an interaction with a user interface element, as well as patterns of interactions. Training data can be used to establish baseline or threshold values or ranges for particular user interface elements or types of user interface elements. Test data can be obtained that includes identifiers and timestamps. The time taken to complete an interaction with a user interface element, and optionally an interaction pattern, can be analyzed. If the machine learning component determines that an interaction time or pattern is abnormal, various actions can be taken, such as providing a report or user interface guidance.
    Type: Application
    Filed: July 11, 2018
    Publication date: January 16, 2020
    Applicant: SAP SE
    Inventors: Sumaiya P K, Rajesh V, Natarajan Devaraj, Rohith M K, Jumi Bhattacharyya, Sangeetha Baburaj, Basavana Gouda S, Sai Bandaru