View source for 17933477. TESTING ACCESSIBILITY OF GEOSPATIAL APPLICATIONS USING CONTEXTUAL FILTERS simplified abstract (AT&T Intellectual Property I, L.P.)

=TESTING ACCESSIBILITY OF GEOSPATIAL APPLICATIONS USING CONTEXTUAL FILTERS=


==Organization Name==

[[:Category:AT&T  Intellectual Property I, L.P.|AT&T  Intellectual Property I, L.P.]]


[[Category:AT&T  Intellectual Property I, L.P.]]

==Inventor(s)==

[[:Category:Yaron Kanza of Fair Lawn NJ (US)|Yaron Kanza of Fair Lawn NJ (US)]][[Category:Yaron Kanza of Fair Lawn NJ (US)]]

[[:Category:Balachander Krishnamurthy of New York NY (US)|Balachander Krishnamurthy of New York NY (US)]][[Category:Balachander Krishnamurthy of New York NY (US)]]

[[:Category:Divesh Srivastava of Summit NJ (US)|Divesh Srivastava of Summit NJ (US)]][[Category:Divesh Srivastava of Summit NJ (US)]]

==TESTING ACCESSIBILITY OF GEOSPATIAL APPLICATIONS USING CONTEXTUAL FILTERS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17933477 titled 'TESTING ACCESSIBILITY OF GEOSPATIAL APPLICATIONS USING CONTEXTUAL FILTERS

==Simplified Explanation==

The method described in the abstract involves applying a contextual filter to mask a portion of input, output, or underlying dataset of a software application, simulating a user limitation, executing the software application with the filter, collecting ambient data, and recommending modifications to improve accessibility or inclusion of the software application.

* Applying contextual filter to mask software application data:
  - Simulates user limitations
  - Enhances user experience
  - Improves software accessibility

* Executing software application with contextual filter:
  - Allows for data analysis
  - Provides insights for modifications
  - Enhances user interaction

* Collecting ambient data during execution:
  - Gathers real-time information
  - Helps in understanding user behavior
  - Aids in making data-driven decisions

* Recommending modifications to software application:
  - Based on execution results
  - Improves accessibility and inclusion
  - Enhances overall user experience

== Potential Applications ==
The technology can be applied in various industries such as software development, user experience design, and data analysis.

== Problems Solved ==
This technology addresses the challenges of improving software accessibility, understanding user limitations, and enhancing user interaction.

== Benefits ==
The benefits of this technology include improved user experience, enhanced software accessibility, and data-driven decision-making for software modifications.

== Potential Commercial Applications ==
The technology can be commercially applied in software development companies, user experience consulting firms, and data analytics companies to enhance their products and services.

== Possible Prior Art ==
One possible prior art could be the use of user testing and feedback in software development to improve user experience and accessibility.

== Unanswered Questions ==

=== How does the contextual filter impact the performance of the software application? ===
The abstract does not provide specific details on how the contextual filter affects the performance of the software application.

=== What types of modifications are typically recommended based on the execution results? ===
The abstract does not mention the specific types of modifications that are typically recommended based on the execution results.


==Original Abstract Submitted==

A method performed by a processing system including at least one processor includes applying a contextual filter to mask a portion of at least one of: an input of a software application, an output of the software application, or an underlying dataset of the software application, where the contextual filter simulates a limitation of a user of the software application, executing the software application with the contextual filter applied to the at least one of: the input of the software application, the output of the software application, or the underlying dataset of the software application, collecting ambient data during the executing, and recommending, based on a result of the executing, a modification to the software application to improve at least one of: an accessibility of the software application or an inclusion of the software application.



[[Category:G06F8/65]]