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SERENE

Official page of the SERENE ("uSer ExpeRiENce dEtector") project, initially built by @espositoandrea.

SERENE: The User Experience Detector

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.

Publications

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 http://arxiv.org/abs/2407.11980

Pinned Loading

  1. frontend frontend Public

    The SERENE semi-automatic UX Smells detector, as presented in various papers.

    PHP

  2. api api Public

    REST APIs to access the SERENE model

    Python

  3. docs docs Public

    Roff

  4. uxsad.github.io uxsad.github.io Public

    Ruby

Repositories

Showing 10 of 10 repositories
  • .github Public
    uxsad/.github’s past year of commit activity
    Python 0 0 0 0 Updated Oct 7, 2024
  • frontend Public

    The SERENE semi-automatic UX Smells detector, as presented in various papers.

    uxsad/frontend’s past year of commit activity
    PHP 0 GPL-3.0 0 0 0 Updated May 10, 2024
  • docs Public
    uxsad/docs’s past year of commit activity
    Roff 0 CC-BY-SA-4.0 0 0 0 Updated Jul 10, 2022
  • api Public

    REST APIs to access the SERENE model

    uxsad/api’s past year of commit activity
    Python 0 0 0 0 Updated Jun 4, 2022
  • uxsad/ai-models-selection’s past year of commit activity
    Python 0 GPL-3.0 0 1 0 Updated Apr 20, 2021
  • uxsad/uxsad.github.io’s past year of commit activity
    Ruby 0 GPL-3.0 0 0 0 Updated Dec 21, 2020
  • server Public
    uxsad/server’s past year of commit activity
    TypeScript 0 GPL-3.0 0 0 0 Updated Dec 7, 2020
  • uxsad/browser-extension’s past year of commit activity
    TypeScript 0 GPL-3.0 0 0 0 Updated Dec 7, 2020
  • graphics Public
    uxsad/graphics’s past year of commit activity
    Makefile 0 CC-BY-SA-4.0 0 0 0 Updated Dec 7, 2020
  • uxsad/emotion-analysis’s past year of commit activity
    C++ 0 GPL-3.0 0 0 0 Updated Dec 7, 2020

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