I am an Associate Professor of Human Factors and Cognitive Ergonomics at the University of Twente. I have also been nominated Honorary Senior Fellow of Human Factor for Health Technology at Imperial College, and I am collaborating with The UK NIHR MIC London Diagnostics unit for research on medical devices. 

|Research interests Human factors and ergonomics; HCI/HRI, interaction with technology and artefacts, usability and accessibility studies, user experience analysis in ubiquitous computing contexts, modelling of human behavior, health and disability service and product design, matching people and technology, qualitative and quantitative research of applied psychology using multivariate and predictive statistical techniques.

|Work Experience I have several years of professional working experience as a specialist for usability, UX, and human factors in a range of interdisciplinary projects, both in academia and industry where I have worked as a consultant in relation to user experience. I am currently an Assistant Professor of Human Factors and Cognitive Ergonomics at Twente University, AT CODE. From 2015 to 2018, I was a Fellow and co-lead of the Human factors unit of the NIHR DEC London at the Department of Surgery and Cancer of Imperial College. My role was to support manufacturers and innovators with evidence to develop and manage barriers to the adoption of new medical technologies e.g. point-of-care and portable medical devices. Since 2013, I have been a research fellow at the Human Factors Research Group at The University of Nottingham, for the Live Augmented Reality Training Environments (LARTE) project with Jaguar Land Rover. I undertook experimental analysis on Human and Virtual/Augmented reality interaction for training operators' abilities and skills. From 2011 to 2013 I was a researcher at Brunel University where I have undertaken research on different topics such as medical device technologies and user perspectives, user experience of interaction, preferences elicitation and usability testing. Moreover, I have also worked as a researcher for the Accessible Lifelong Learning for Higher Education project (EU4ALL) funded by the European Sixth Framework program, where I was the lead of the Italian group for the accessibility and usability testing of the e-learning system developed by the EU4ALL consortium. At the beginning of my career, from 2008 to 2011, I was a teaching professor for different modules e.g, psychology of learning and disability, etc. at the University of Perugia, in Italy.

|Expertise I have extensive experience in the design of ethnographic, remote testing, and in-house/laboratory studies and in designing and using survey questionnaires, think aloud, focus groups and interviews. I am experienced in quantitative data analysis using different multivariate data analysis techniques such as factor analysis, multiple linear and non-linear regression analysis and clustering. I have extensive experience of undertaking quantitative data analysis using the IBM SPSS statistics software (and its syntax), and R software. I am also particularly expert in predictive statistics such as bootstrap and Monte Carlo techniques.


  • Computer Science

    • User
    • Usability
    • Evaluation
    • Models
    • Assistive Technology
    • Design
    • Testing
  • Psychology

    • Assessment


I am a methodologist and specialist in evaluation methods and evidence generation to support innovation design for medical and assistive technologies, digital tools, and VR/AR. I am a specialist in human factors and ergonomics and in interaction with technology and artifacts (HCI/HRI), Human AI systems conversation and collaboration. My main research interests include but are not limited to usability and accessibility studies, service design (in particular healthcare and disability), user experience analysis in ubiquitous computing contexts, modeling of human behavior, matching people and technology, qualitative and quantitative research of applied psychology, and system thinking.


Adaptive XAI: Towards Intelligent Interfaces for Tailored AI ExplanationsIn IUI '24 Companion: Companion Proceedings of the 29th International Conference on Intelligent User Interfaces (IUI 2024 Companion). Association for Computing Machinery. Turchi, T., Malizia, A., Paternò, F., Borsci, S. & Chamberlain, A.https://doi.org/10.1145/3640544.3645253Reflecting on Algorithmic Bias with Design Fiction: the MiniCoDe WorkshopsIEEE intelligent systems, 39(2), 40-50 (E-pub ahead of print/First online). Turchi, T., Malizia, A. & Borsci, S.https://doi.org/10.1109/MIS.2024.3352977Exploring the Integration of AI in Sepsis Management: A Pilot Study on Clinician Acceptance and Decision-Making in ICU Settings. Micocci, M., Kettley-Linsell, H., Zhou, S., Festor, P., Borsci, S., Komorowski, M., Nagendran, M., Gordon, A., Buckle, P., Hanna, G. & Faisal, A.https://doi.org/10.54941/ahfe1004657A Structured Approach to Clinical Pathway Mapping (CPM): a Case Study of a Postoperative Patient Controlled Analgesia (PCA) pump. Micocci, M., Soukup, T., Kettley-Linsell, H., Bahadori, S., Zhou, S., Walne, S., Borsci, S., Buckle, P. & Hanna, G.https://doi.org/10.54941/ahfe1004832
Ciao AI: the Italian adaptation and validation of the Chatbot Usability ScalePersonal and ubiquitous computing, 27, 2161-2170. Borsci, S., Prati, E., Malizia, A., Schmettow, M., Chamberlain, A. & Federici, S.https://doi.org/10.1007/s00779-023-01731-2Feedback digitalization preferences in online and hybrid classroom: Experiences from lockdown and implications for post-pandemic educationJournal of Research in Innovative Teaching & Learning (E-pub ahead of print/First online). Sedrakyan, G., Borsci, S., Abdi, A., van den Berg, S. M., Veldkamp, B. P. & van Hillegersberg, J.https://doi.org/10.1108/JRIT-02-2023-0014Scoping Meta-Review of Methods Used to Assess Artificial Intelligence-Based Medical Devices for Heart FailureBioengineering, 10(10), Article 1109. Di Bidino, R., Piaggio, D., Andellini, M., Merino-Barbancho, B., Lopez-Perez, L., Zhu, T., Raza, Z., Ni, M., Morrison, A., Borsci, S., Fico, G., Pecchia, L. & Iadanza, E.https://doi.org/10.3390/bioengineering10101109A confirmatory factorial analysis of the Chatbot Usability Scale: A multilanguage validationPersonal and ubiquitous computing, 27, 317-330. Borsci, S., Schmettow, M., Malizia, A., Chamberlain, A. & Van Der Velde, F.https://doi.org/10.1007/s00779-022-01690-0eGLU-Box Mobile: A Smartphone App for Usability Testing by Italian Public Administration WebmastersIn Human-Computer Interaction: Thematic Area, HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part I (pp. 64-79). Springer Nature. Federici, S., Bifolchi, G., Bracalenti, M., Ansani, A., Napoletti, A., Lanzillotti, R., Desolda, G., Mele, M. L., Borsci, S., de Filippis, M. L., Gaudino, G., Amendola, M., Cocco, A., Doria, A. & Simonetti, E.https://doi.org/10.1007/978-3-031-35596-7_5
Approaches Adopted by Researchers to Measure the Quality of the Experience of People Working from Home: a Scoping ReviewJournal of Technology in Behavioral Science, 7(4), 451-467. Federici, S., Filippis, M. L. D., Mele, M. L., Borsci, S., Bracalenti, M., Bifolchi, G., Gaudino, G., Amendola, M., Cocco, A. & Simonetti, E.https://doi.org/10.1007/s41347-022-00264-4

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