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

    公开(公告)号:US20210019213A1

    公开(公告)日:2021-01-21

    申请号:US16991958

    申请日:2020-08-12

    摘要: 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.

    SYSTEMS AND METHODS FOR IMPROVED MODELLING OF PARTITIONED DATASETS

    公开(公告)号:US20200311607A1

    公开(公告)日:2020-10-01

    申请号:US16846172

    申请日:2020-04-10

    IPC分类号: G06N20/00 G06F16/903

    摘要: Systems and methods for improving an algorithm using physically or logically partitioned datasets, in compliance with use restrictions, is provided. The datasets belong to various customers in local data modules. A policy database is queried for use restrictions (contractual or legal) on the partitioned datasets. The datasets are then cataloged, and a set of functionalities are generated and then deployed. This deployment may include running the functionality on a central system on partitions of the datasets adhering to the restrictions, or packaging the functionality into discrete bins for each of the datasets, and delivering the bins to local computational devices at each local data module. The output of the functionalities are then aggregated, typically with a weighted function, and then used to train a unified algorithm.

    SYSTEMS AND METHODS FOR ATTRIBUTE CHARACTERIZATION OF USABILITY TESTING PARTICIPANTS

    公开(公告)号:US20240177204A1

    公开(公告)日:2024-05-30

    申请号:US18533043

    申请日:2023-12-07

    摘要: Systems and methods for attribute determination in a usability study are provided. The system includes the ability to collect screener questions and response pairs and determine the type of question. The question and response pairs may be processed for topic and entity extractions using machine learning (ML) models. From the collected topics and entities, a dictionary of attributes may be generated and eventually expanded/added to as new information regarding the participant becomes available. This attribute dictionary may take the form of a vector dictionary, in some particular embodiments. In some cases, the type of question being posed may dictate how the response is processed. These include a Boolean style question, a quantitative question, a single response question and a multi-response type question.

    SYSTEMS AND METHODS FOR IMPROVED USER EXPERIENCE PARTICIPANT SELECTION

    公开(公告)号:US20230368226A1

    公开(公告)日:2023-11-16

    申请号:US18302166

    申请日:2023-04-18

    IPC分类号: G06Q30/0203 H04L67/30

    CPC分类号: G06Q30/0203 H04L67/30

    摘要: Systems and methods for selecting participants for a user experience study are provided. In some embodiments the systems and methods first receive at least three features for each participant profile. The participant profile is scored by quantile-based discretization. Next the participants are grouped into clusters using an unsupervised machine learning (ML) clustering algorithm(s) for each participant profile. The clusters are ranked using a number of models. These models are a function of geography and study type. The participant profile is assigned to a single cluster for each model. Participants are sampled from the clusters by their ranking.

    System and method for unmoderated remote user testing and card sorting

    公开(公告)号:US11526428B2

    公开(公告)日:2022-12-13

    申请号:US17325102

    申请日:2021-05-19

    IPC分类号: G06Q10/00 G06F11/36

    摘要: A system for performing remote usability testing of a website includes a module for generating particular tasks, a module for moderating a session with a number of participants, and a module for receiving usability data. The system further includes an analytics module for analyzing the received usability data. The module for generating the particular tasks includes a research server configured to interface with user experience researchers and storing multiple testing modules for selecting qualified participants from the number of participants and for generating the particular tasks having research metrics associated with a target web site. In an embodiment, the research server randomly assigns one or more of the multiple testing modules to one of the participants. The multiple testing modules may include card sorting studies for optimizing a web site's architecture or layout.

    SYSTEMS AND METHODS FOR AN INTELLIGENT SOURCING ENGINE FOR STUDY PARTICIPANTS

    公开(公告)号:US20220351258A1

    公开(公告)日:2022-11-03

    申请号:US17750283

    申请日:2022-05-20

    IPC分类号: G06Q30/02 G06N5/04 G06N20/00

    摘要: Systems and methods for sourcing participants for a usability study are provided. In some embodiments the systems and methods receive study parameters including the type of study, time-to-field of the study, required number of participants, and required participant attributes. Additionally, a set of business rules for the study are received. These business rules may be received from a client, extrapolated from a service contract with a client for which the study is being performed, or generated based on the monitored outcomes of sourcing of previous studies. Next, panel sources for potential participants and pricing data are queried, and a set of the sources are selected based upon the pricing data. Participants are then received from these sources, which are then fielded in the study and monitored for outcomes.