Sap Se

Sangeetha Baburaj

Sumaiya P K

Jumi Bhattacharyya

Natarajan Devaraj

Rajesh V

Sai Bandaru

Rohith M K

Basavana Gouda S

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.

Machine learning analysis of user interface design

Growing community of inventors

Bengaluru, India

Sangeetha Baburaj