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SERENE - User Experience Detector

Basic Information

Start Date
Jun 20, 2021

Brief Project Description

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, supervised by Prof. Giuseppe Desolda. More information on the project are available in its official webpage: https://github.com/uxsad.

Publications

This is a list of publications regarding SERENE.

Journal Articles

  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

Conference Articles

  1. 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.
  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, New York, NY, USA. DOI:10.1145/3531073.3534464

Book Chapters

  1. Giuseppe Desolda, Andrea Esposito, Rosa Lanzilotti, and Maria F. Costabile. 2021. Detecting Emotions Through Machine Learning for Automatic UX Evaluation. In Human-Computer Interaction – INTERACT 2021, Carmelo Ardito, Rosa Lanzilotti, Alessio Malizia, Helen Petrie, Antonio Piccinno, Giuseppe Desolda and Kori Inkpen (eds.). Springer International Publishing, Cham, 270–279. DOI:10.1007/978-3-030-85613-7_19

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