Global Patent Index - EP 4014115 A1

EP 4014115 A1 20220622 - SYSTEMS AND METHODS FOR THE ANALYSIS OF USER EXPERIENCE TESTING WITH AI ACCELERATION

Title (en)

SYSTEMS AND METHODS FOR THE ANALYSIS OF USER EXPERIENCE TESTING WITH AI ACCELERATION

Title (de)

SYSTEME UND VERFAHREN ZUR ANALYSE VON BENUTZERERFAHRUNGSPRÜFUNG MIT KI-BESCHLEUNIGUNG

Title (fr)

SYSTÈMES ET PROCÉDÉS POUR L'ANALYSE D'ESSAI D'EXPÉRIENCE UTILISATEUR AVEC UNE ACCÉLÉRATION D'IA

Publication

EP 4014115 A1 20220622 (EN)

Application

EP 20852465 A 20200813

Priority

  • US 201962887031 P 20190815
  • US 202016991958 A 20200812
  • US 2020046247 W 20200813

Abstract (en)

[origin: WO2021030636A1] Systems and methods for AI assisted analysis of a user experience study are provided. A study objective (a goal of the study) and data relating to all possible navigation routes within a digital interface are received. Simulated clickstreams for navigating from any state of the digital interface to the study objective are generated. This simulated clickstream data is then used to train one or more machine learning models to determine a most efficient path to achieve the study objective from any state of the digital interface. Subsequently, study results from many different participants is received. Key events are then identified within the study results. Additionally, the likelihood of failure for each of the plurality of study results is predicted using the machine learning model, and information density of the plurality of study results is determined.

IPC 8 full level

G06F 9/455 (2018.01); G06N 99/00 (2019.01); G06Q 10/06 (2012.01); G06Q 50/18 (2012.01)

CPC (source: EP)

G06N 20/00 (2018.12); G06Q 10/06 (2013.01); G06Q 30/0201 (2013.01)

Designated contracting state (EPC)

AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

Designated extension state (EPC)

BA ME

DOCDB simple family (publication)

WO 2021030636 A1 20210218; EP 4014115 A1 20220622; EP 4014115 A4 20231129

DOCDB simple family (application)

US 2020046247 W 20200813; EP 20852465 A 20200813