SERENE: The Semi-Automatic User Experience Detector

TL;DR

SERENE is a semi-automatic AI-powered platform that detects user experience issues on websites by analyzing user emotions while ensuring privacy, offering broad generalizability over traditional sample-based methods.

Contribution

It introduces a novel AI-based system for detecting UX problems in websites that leverages data from entire user populations, enhancing detection generalizability.

Findings

Detects user emotions in web pages using AI

Ensures user privacy during detection

Provides broad, population-wide UX insights

Abstract

SERENE (uSer ExpeRiENce dEtector), also known as UX-SAD (User eXperience-Smells Automatic Detector), is a research project born in 2020, which comprises different components. As its name suggests, its primary goal is to provide a way to quickly and (semi-) automatically detect problems in the user experience of websites and web-based systems. Through a set of Artificial Intelligence (AI) models, SERENE detects users' emotions in web pages while guaranteeing users' privacy. Its main strength over typical user experience and usability evaluation is in the generalizability of its detections. While traditional methods use samples (that may not be representative), SERENE allows to tap into data provided by the whole user population. The platform is available at https://serene.ddns.net.