User Experience Evaluation through Automatic A/B Testing

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.Fil: Gardey, Juan Cruz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Informática. Laboratorio de Investigación y Formación en Informática Avanzada; ArgentinaFil: Garrido, Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata. Facultad de Informática. Laboratorio de Investigación y Formación en Informática Avanzada; Argentina25th International Conference on Intelligent User Interfaces (IUI 2020) Student ConsortiumCagliariItaliaSpecial Interest Group on Computer–Human InteractionSpecial Interest Group on Artificial IntelligenceAssociation for Computing Machinery's Special Interest Group on Artificial Intelligenc