Congreso
Autoría
Gardey, Juan Cruz
;
GARRIDO, ALEJANDRA
Fecha
2020
Editorial y Lugar de Edición
ACM
ISSN
978-1-4503-7513-9
Resumen
Información suministrada por el agente en
SIGEVA
The goal of this research is to develop an A/B testing method to automatically compare the user experience (UX) of alternative designs for a web application in a real context with a large number of users. The challenge that it poses is to find mechanisms to predict the UX with machine learning techniques. This submission outlines the motivation, research goal, current status and remaining work.
Palabras Clave
A/B TESTINGUSER INTERACTIONUSER EXPERIENCEMACHINE LEARNING
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