User interface for presenting multi-level map clusters
US-2024401465-A1 · Dec 5, 2024 · US
US2016018972A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016018972-A1 |
| Application number | US-201414331270-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jul 15, 2014 |
| Priority date | Jul 15, 2014 |
| Publication date | Jan 21, 2016 |
| Grant date | — |
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A system, method, and computer program product for optimizing a graphical user interface in support of a business process are provided. User activity in a first version of the graphical user interface is logged and compared against a first GUI definition to generate variance data. The variance data is compared to a user proficiency rating generated from personnel and/or reputational data for the user(s) to determine whether and the manner in which to implement the variance data in a second version of the GUI.
Opening claim text (preview).
What is claimed is: 1 . A computer-implemented method for optimizing the execution of a business process driven by end user interaction with a user interface for executing said business process, comprising: recording user input in a timestamp activity log during execution of said business process by a user in a first version of said user interface; transforming said recorded user input in the timestamp activity log into metrics representative of the user's interaction with the first user interface version; generating variance data by comparing said user interaction metrics with a workflow definition of said first user interface version; generating a user proficiency rating using data representative of the user's reputation and experience level; comparing said user proficiency rating with said variance data using an analytics tool; and creating a second version of the user interface based on the variance data and the user proficiency rating. 2 . The method of claim 1 wherein said user proficiency rating is determined from at least one personnel management system. 3 . The method of claim 1 wherein when said user proficiency rating is greater than or equal to a predetermined threshold, the second version of the user interface is created to match the entries in the timestamp activity log for the process executed by said user. 4 . The method of claim 1 wherein when said proficiency rating of the user executing the business process is less than a predetermined threshold as determined by said analytics tool, the second version of the user interface is created with additional validation steps. 5 . A non-transitory computer readable medium having computer readable instructions stored thereon for execution by a processor to perform a method for GUI optimization, the method comprising: generating a timestamp activity log during execution of a business process by users of a first version of a GUI; generating metrics from the timestamp activity log representing analysis of said business process execution by said users; accessing at least one data source having reputation/experience information for said users; generating a user proficiency rating from said at least one data source; comparing said metrics with said user proficiency rating; and generating a second version of said GUI based on the comparison between said metrics and said user proficiency rating, said second GUI version representative of user interaction with the first GUI version. 6 . The computer program product of claim 5 , further comprising: creating a second version of said GUI having additional validation steps based upon said user interaction with said first GUI version. 7 . The computer program product of claim 5 wherein said at least one data source is a personnel management system. 8 . The computer program product of claim 5 wherein said at least one data source is a social media application. 9 . The computer program product of claim 5 wherein said at least one data source is a collaboration system. 10 . The method of claim 1 wherein the user proficiency rating and variance data from multiple users are evaluated as the basis for creating a second version of the user interface. 11 . The method of claim 1 wherein the user interface is defined by a metadata language and interpreted by a renderer. 12 . The method of claim 1 wherein the user interface is compiled into a native application. 13 . The method of claim 1 wherein the arrangement of information on the screen is varied. 14 . The method of claim 1 where the information provided on a screen is varied. 15 . The method of claim 1 where the default values for input fields is varied. 16 . The method of claim 1 wherein the order in which fields are navigated is varied. 17 . The method of claim 1 , wherein said user proficiency rating is determined from a one or more social media applications. 18 . The method of claim 1 , wherein said user proficiency rating is determined from one or more collaboration systems 19 . The method of claim 1 , wherein said user proficiency rating is determined from a combination of any two of the aforementioned systems and applications, and a combination of all of the aforementioned systems and applications. 20 . The method of claim 1 , wherein the method is applied iteratively until the subsequent increase in efficiency of executing the business process falls below a defined threshold.
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