Science and Technology Production
Congress
Authorship
Gardey, Juan Cruz
;
GARRIDO, ALEJANDRA
Date
2020
Publishing House and Editing Place
ACM
ISSN
978-1-4503-7513-9
Summary
Information provided by the agent in
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.
Key Words
A/B TESTINGUSER INTERACTIONUSER EXPERIENCEMACHINE LEARNING
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