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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.

  1. Desolda, G., Esposito, A., Lanzilotti, R., Costabile, M.F.: Detecting Emotions Through Machine Learning for Automatic UX Evaluation. In: Ardito, C., Lanzilotti, R., Malizia, A., Petrie, H., Piccinno, A., Desolda, G., and Inkpen, K. (eds.) Human-Computer Interaction – INTERACT 2021. pp. 270–279. Springer International Publishing, Cham (2021). https://doi.org/10.1007/978-3-030-85613-7_19.
  2. Desolda, G., Esposito, A., Lanzilotti, R., Costabile, M.F.: Interplay between AI and HCI for UX evaluation: the SERENE case study. In: Barricelli, B.R., Fischer, G., Fogli, D., Mørch, A., Piccinno, A., and Valtolina, S. (eds.) 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). pp. 55–59. CEUR-WS, Aachen (2022). http://ceur-ws.org/Vol-3136/paper-13.pdf
  3. Esposito, A., Desolda, G., Lanzilotti, R., Costabile, M.F.: SERENE: A Web Platform for the UX Semi-Automatic Evaluation of Website. In: Proceedings of the 2022 international conference on advanced visual interfaces. Association for Computing Machinery, New York, NY, USA (2022). https://doi.org/10.1145/3531073.3534464.