Electronic device and method for optimizing user interface of application

An electronic device for optimizing a user interface (UI) of an application, the electronic device comprising:

• a memory;
• a processor configured to be coupled with the memory and control the electronic device;
• and
• a UI optimization controller coupled with the memory and the processor, the UI optimization controller being configured to:
• detect at least one first application installed in the electronic device,
• determine at least one data item associated with at least one UI of the at least one first application to be modified,
• modify the at least one data item associated with the at least one UI of the at least one first application based on a level of proficiency of a user with an already used application in the electronic device, and
• display the at least one UI with the at least one modified data item of the at least one first application,
• wherein the processor further configured to:
• acquire the level of proficiency of the user with at least one data item associated with a UI of the already used application in the electronic device by using a machine learning model;
• wherein the machine learning model configured to work by extracting higher level embeddings for an input fed to it via a pre-trained encoder and decoding the higher level embeddings to obtain multi label outputs for each component and interaction under a plurality of labels, and
• wherein the processor further configured to:
• modify the at least one data based on scores of the plurality of labels.

A non-transitory computer-readable storage medium configured to store one or more computer programs including instructions which, when executed by at least one processor of an electronic device, cause the at least one processor to control for:

• detecting an application installed in the electronic device;
• after the application is installed, determining to modify a data item associated with a user interface (UI) of the application;
• in response to determining to modify the data item, modifying the data item associated with the UI of the application based on a level of proficiency of a user with an already used application in the electronic device;
• and
• displaying the UI with the modified data item of the application,
• wherein the modifying of the data item comprises:
• acquiring, by the electronic device, the level of proficiency of the user with at least one data item associated with a UI of the already used application in the electronic device by using a machine learning model;
• wherein the machine learning model configured to work by extracting higher level embeddings for an input fed to it via a pre-trained encoder and decoding the higher level embeddings to obtain multi label outputs for each component and interaction under a plurality of labels, and
• wherein the modifying of the at least one data item comprises:
• modifying the at least one data based on scores of the plurality of labels.