Patent · US Active

Agent based methods for discovering and documenting user expectations

US12032918B1 · kind B1 · utility

0Cited by
4References
20Claims
0Family size

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Key dates

Filing dateAug 31, 2023
Grant dateJul 9, 2024
Priority date
Expiry dateAug 31, 2043

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06F40/30
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

Techniques are described herein for using artificial intelligence to select, curate, normalize, enrich, and synthesize the results of user experience (UX) tests. In some embodiments, a system identifies a set of unstructured textual elements associated with one or more UX tests. The system may configure agents using generative language model services, including a reviewing agent that reviews and edit outputs of a machine learning classification model applied to the unstructured textual elements and/or a curating agent that selects unstructured textual elements to represent themes within the user experience test classified using the machine learning classification model. The outputs may be used to enhance the scalability, function, and efficiency of applications directed at improving product designs.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.