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Auteur principal: Esposito, Andrea
Format: Preprint
Publié: 2024
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Accès en ligne:https://arxiv.org/abs/2407.11980
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author Esposito, Andrea
author_facet Esposito, Andrea
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2407_11980
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle SERENE: The Semi-Automatic User Experience Detector
Esposito, Andrea
Human-Computer Interaction
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.
title SERENE: The Semi-Automatic User Experience Detector
topic Human-Computer Interaction
url https://arxiv.org/abs/2407.11980