Andrea Esposito
Andrea Esposito
Research Fellow
IVU Laboratory
Dipartimento di Informatica
Università degli Studi di Bari Aldo Moro
Via Orabona, 4 - 70125 Bari - Italy
email: andrea.esposito@uniba.it

Andrea Esposito

Research Interests

Human-Centered Artificial Intelligence, Human-AI Interaction, Explainable Artificial Intelligence, Artificial Intelligence, Human-Computer Interaction

Curriculum

Andrea Esposito is a Ph.D. student in the Department of Computer Science at the University of Bari Aldo Moro. He is an active member of the Interaction, Visualization, Usability & UX (IVU) Laboratory, where his research focuses on Human-Centred Artificial Intelligence. His interests lie in Human-Computer Interaction, eXplainable Artificial Intelligence, and Human-AI Interaction.

Andrea earned his Bachelor’s Degree in Computer Science and Digital Communication, as well as his Master’s Degree in Computer Science (Artificial Intelligence) from the University of Bari Aldo Moro. He has also worked as a scholarship researcher at the university, contributing to the ISO 25000-certified project “eGLU-Box PA” and the Human-Centred AI project “SERENE,” among other research activities.

As part of his Ph.D. studies, Andrea spent six months as a visiting researcher at Ludwig-Maximilians Universität (LMU) in Munich and another six months at a corporate research laboratory with Eusoft S.r.l., gaining valuable international and industry experience. He also collaborates with the European Network of Human-Centered Artificial Intelligence “Humane-AI,” further expanding his research network and expertise.

Andrea is committed to advancing the field of Human-Centred AI, working to improve the interaction between humans and AI systems. Andrea Esposito has a Bachelor’s Degree in Computer Science and Digital Communication and a Master’s Degree in Computer Science (Artificial Intelligence), both at the University of Bari Aldo Moro. Currently, he started his Ph.D. in the same University. He was a scholarship researcher at the University of Bari, working on the ISO 25000-certified project “eGLU-Box PA”, on the Human-Centred AI project “SERENE”, as well as in other research activities. He collaborates with the European Network of Human-Centered Artificial Intelligence “Humane-AI”.

He is a member of:

Publications

In this section, you’ll find a non-comprehensive list of my publications. I always try to provide a freely accessible version of all of my papers, to ensure that everyone can read them. Depending on the publisher, though, the ways I can do that may vary. Please visit my personal website for a complete list of publications and links to open-access versions: https://espositoandrea.github.io.

Journal Articles

  1. Giuseppe Desolda, Giovanni Dimauro, Andrea Esposito, Rosa Lanzilotti, Maristella Matera, and Massimo Zancanaro. 2024. A Human–AI Interaction Paradigm and Its Application to Rhinocytology. Artificial Intelligence in Medicine 155, (August 2024), 102933. DOI:10.1016/j.artmed.2024.102933, Retrieved August 2, 2024 from https://linkinghub.elsevier.com/retrieve/pii/S0933365724001751
  2. Marco Saltarella, Giuseppe Desolda, Andrea Esposito, Francesco Greco, and Rosa Lanzilotti. 2024. Bridging the Gap Between GPDR and Software Development: The MATERIALIST Framework. Multimedia Tools and Applications In Press, (July 2024). DOI:10.1007/s11042-024-19923-0
  3. 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
  4. Giovanna Castellano, Andrea Esposito, Eufemia Lella, Graziano Montanaro, and Gennaro Vessio. 2024. Automated Detection of Alzheimer’s Disease: A Multi-Modal Approach with 3D MRI and Amyloid PET. Scientific Reports 14, 1 (March 2024), 5210. DOI:10.1038/s41598-024-56001-9

Conference Articles

  1. Francesco Greco, Giuseppe Desolda, Andrea Esposito, and Alessandro Carelli. 2024. David versus Goliath: Can Machine Learning Detect LLM-Generated Text? A Case Study in the Detection of Phishing Emails. In Proceedings of the Italian Conference on Cyber Security (ITASEC 2024) (CEUR Workshop Proceedings), CEUR-WS, Salerno, Italy. URL: ceur-ws.org/Vol-3731/paper41.pdf
  2. Grazia Ragone, Safinah Arshad Ali, Andrea Esposito, Judith Good, Kate Howland, and Carmelo Presicce. 2024. Child-Centered AI for Empowering Creative and Inclusive Learning Experiences. In Proceedings of the 23rd Annual ACM Interaction Design and Children Conference, ACM, Delft Netherlands, 1035–1037. DOI:10.1145/3628516.3661157
  3. Antonio Curci and Andrea Esposito. 2024. Detecting Brain Tumors Through Multimodal Neural Networks. In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS - Science and Technology Publications, Rome, Italy, 995–1000. DOI:10.5220/0012608600003654
  4. Andrea Esposito, Giuseppe Desolda, Rosa Lanzilotti, Maristella Matera, Rossella Pizzi, and Stefano D’Ascoli. 2023. Poster: Improving Customer Service Through Rapid Prototyping of Data Exploration Chatbots. In Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, ACM, Torino, Italy, 1–2. DOI:10.1145/3605390.3610813
  5. Francesco Greco, Giuseppe Desolda, and Andrea Esposito. 2023. Explaining Phishing Attacks: An XAI Approach to Enhance User Awareness and Trust. In Proceedings of the Italian Conference on Cyber Security (ITASEC 2023) (CEUR Workshop Proceedings), CEUR-WS, Bari, Italy. URL: ceur-ws.org/Vol-3488/paper22.pdf
  6. Giuseppe Desolda, Andrea Esposito, Francesco Greco, Rosa Lanzilotti, and Marco Saltarella. 2023. MATERIALIST: A Web Platform for Guiding Privacy Design Pattern Selection in Software Development. In Joint Proceedings of the Workshops, Work in Progress Demos and Doctoral Consortium at the Is-Eud 2023 (CEUR Workshop Proceedings), CEUR-WS. URL: ceur-ws.org/Vol-3408/short-s3-09.pdf
  7. Francesco Greco, Giuseppe Desolda, and Andrea Esposito. 2023. A Human-Centered XAI System for Phishing Detection. In Proceedings of the ACM CHI 2023 Workshop on Human-Centered Explainable AI (HCXAI 2023). URL: www.dropbox.com/s/kiutrmgm8kcjoc4/HCXAI2023_paper_3020.pdf?dl=0
  8. 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
  9. 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
  10. Giovanna Castellano, Andrea Esposito, Marco Mirizio, Graziano Montanaro, and Gennaro Vessio. 2021. Detection of Dementia Through 3D Convolutional Neural Networks Based on Amyloid PET. In Proceedings of the 2021 IEEE Symposium Series on Computational Intelligence (SSCI 2021), IEEE, Orlando, FL, USA, 1–6. DOI:10.1109/SSCI50451.2021.9660102

Book Chapters

  1. Giuseppe Desolda, Andrea Esposito, Florian Müller, and Sebastian Feger. 2023. Digital Modeling for Everyone: Exploring How Novices Approach Voice-Based 3D Modeling. In Human-Computer Interaction – INTERACT 2023, José Abdelnour Nocera, Marta Kristín Lárusdóttir, Helen Petrie, Antonio Piccinno and Marco Winckler (eds.). Springer Nature Switzerland, Cham, 133–155. DOI:10.1007/978-3-031-42293-5_11, Retrieved September 12, 2024 from https://link.springer.com/10.1007/978-3-031-42293-5_11
  2. Andrea Esposito, Miriana Calvano, Antonio Curci, Giuseppe Desolda, Rosa Lanzilotti, Claudia Lorusso, and Antonio Piccinno. 2023. End-User Development for Artificial Intelligence: A Systematic Literature Review. In End-User Development, Lucio Davide Spano, Albrecht Schmidt, Carmen Santoro and Simone Stumpf (eds.). Springer Nature Switzerland, Cham, 19–34. DOI:10.1007/978-3-031-34433-6_2, Retrieved September 12, 2024 from https://link.springer.com/10.1007/978-3-031-34433-6_2
  3. 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, Retrieved September 12, 2024 from https://link.springer.com/10.1007/978-3-030-85613-7_19

Teaching

Projects