View source for 17956346. SYSTEMS, METHODS, AND APPARATUSES FOR DETERMINING UI-SPECIFIC TRAFFIC IN A NETWORK ENVIRONMENT simplified abstract (Bank of America Corporation)

=SYSTEMS, METHODS, AND APPARATUSES FOR DETERMINING UI-SPECIFIC TRAFFIC IN A NETWORK ENVIRONMENT=


==Organization Name==

[[:Category:Bank of America Corporation|Bank of America Corporation]]


[[Category:Bank of America Corporation]]

==Inventor(s)==

[[:Category:Brady Prentice Merkel of Jacksonville Beach FL (US)|Brady Prentice Merkel of Jacksonville Beach FL (US)]][[Category:Brady Prentice Merkel of Jacksonville Beach FL (US)]]

==SYSTEMS, METHODS, AND APPARATUSES FOR DETERMINING UI-SPECIFIC TRAFFIC IN A NETWORK ENVIRONMENT - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17956346 titled 'SYSTEMS, METHODS, AND APPARATUSES FOR DETERMINING UI-SPECIFIC TRAFFIC IN A NETWORK ENVIRONMENT

==Simplified Explanation==

The patent application abstract describes a system for tracking user interactions within a Graphical User Interface (GUI) to determine abandonment metrics and intelligently reconfigure the GUI based on the data collected.

* The system tracks user interactions within a GUI for consent/authorization.
* Abandonment metrics are determined, such as volume of abandonments, rate of abandonment, and time to abandonment.
* The data collected is used to intelligently reconfigure the GUI, potentially on a per-user basis.
* Sensory alterations to the GUI are implemented based on the abandonment metrics.

== Potential Applications ==
This technology could be applied in various industries such as e-commerce, online services, and software applications to improve user experience and increase completion rates of consent/authorization processes.

== Problems Solved ==
1. Decreased abandonment rates during consent/authorization processes.
2. Enhanced user engagement and satisfaction with the GUI interface.

== Benefits ==
1. Improved user experience and satisfaction.
2. Higher completion rates for consent/authorization processes.
3. Data-driven decision-making for GUI reconfiguration.

== Potential Commercial Applications ==
Optimizing online forms, improving user onboarding processes, enhancing customer interactions in digital platforms.

== Possible Prior Art ==
Prior art may include systems for tracking user interactions within GUIs for analytics purposes, but the specific focus on abandonment metrics and intelligent GUI reconfiguration based on this data may be a novel aspect of this technology.

=== Unanswered Questions ===

=== How does the system ensure user consent for tracking interactions within the GUI? ===
The system should have mechanisms in place to obtain explicit consent from users before tracking their interactions within the GUI. This could involve clear notifications and opt-in options for users.

=== What measures are taken to ensure the privacy and security of the data collected from user interactions? ===
It is essential to address data privacy and security concerns when tracking user interactions within a GUI. Implementing encryption, access controls, and data anonymization techniques can help protect user data from unauthorized access or misuse.


==Original Abstract Submitted==

User interactions are tracked within a Graphical User Interface (GUI) configured for user consent/authorization, specifically user interactions that indicate that the user has abandoned the consent/authorization process. As a result of such tracking/recordation, abandonment metrics are determined, such as volume of abandonments over a given time period, rate of abandonment, time to abandonment and the like. In specific embodiments of the invention, the abandonment metrics are used to intelligently determine, in some instances on a per-user basis, whether a need exists to reconfigure the GUI and, if a need exists, what sensory alterations to the GUI should be implemented.



[[Category:G06Q30/02]]
[[Category:G06F3/048]]