The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 25, 2023

Filed:

Jul. 11, 2018
Applicant:

Sap SE, Walldorf, DE;

Inventors:

Sumaiya P K, Bangalore, IN;

Rajesh V, Bangalore, IN;

Natarajan Devaraj, Bangalore, IN;

Rohith M K, Bangalore, IN;

Jumi Bhattacharyya, Bangalore, IN;

Sangeetha Baburaj, Bangalore, IN;

Basavana Gouda S, Bellary, IN;

Sai Bandaru, Visakhapatnam, IN;

Assignee:

SAP SE, Walldorf, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/0482 (2013.01); G06N 20/00 (2019.01); G06F 9/451 (2018.01); G06F 11/34 (2006.01); G06F 17/18 (2006.01); G06F 18/24 (2023.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 9/453 (2018.02); G06F 11/3438 (2013.01); G06F 17/18 (2013.01); G06F 18/2148 (2023.01); G06F 18/24 (2023.01);
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.


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