The SERENE (uSer ExpeRiENce dEtector) project, previously known as UX-SAD (User Experience-Smells Automatic Detector), is a research project born in 2020 as part of the Bachelor's Thesis of Andrea Esposito. The original project is still available through GitHub, and a modified version of Andrea's Bachelor's Thesis was presented at INTERACT 2021.

This is a list of publications regarding SERENE.

1. Andrea Esposito, Giuseppe Desolda, and Rosa Lanzilotti. 2024. The Fine Line between Automation and Augmentation in Website Usability Evaluation. Scientific Reports 14, 1 (May 2024), 10129. DOI:10.1038/s41598-024-59616-0
2. Andrea Esposito, Giuseppe Desolda, Rosa Lanzilotti, and Maria Francesca Costabile. 2022. SERENE: A Web Platform for the UX Semi-Automatic Evaluation of Website. In Proceedings of the 2022 International Conference on Advanced Visual Interfaces (AVI 2022), Association for Computing Machinery, Frascati, Rome Italy, 1–3. DOI:10.1145/3531073.3534464
3. Giuseppe Desolda, Andrea Esposito, Rosa Lanzilotti, and Maria Francesca Costabile. 2022. Interplay between AI and HCI for UX Evaluation: The SERENE Case Study. In Proceedings of the 6th International Workshop on Cultures of Participation in the Digital Age: AI for Humans or Humans for AI? (CoPDA 2022. Co-located with the International Conference on Advanced Visual Interfaces AVI 2022) (CEUR Workshop Proceedings), CEUR-WS, Aachen, 55–59. URL: ceur-ws.org/Vol-3136/paper-13.pdf
4. Giuseppe Desolda, Andrea Esposito, Rosa Lanzilotti, and Maria F. Costabile. 2021. Detecting Emotions Through Machine Learning for Automatic UX Evaluation. In Proceedings of the 18th IFIP TC-13 Conference on Human-Computer Interaction (INTERACT 2021) (Lecture Notes in Computer Science), Springer International Publishing, Cham, 270–279. DOI:10.1007/978-3-030-85613-7_19
5. Andrea Esposito. 2024. SERENE: The Semi-Automatic User Experience Detector. Retrieved July 18, 2024 from arxiv.org/abs/2407.11980