dr. S. Borsci (Simone)

Universitair docent

Over mij

I am Assistant Professor of Human Factors and Cognitive Ergonomics at University of Twente. I am also recently 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 behaviour, 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 professional working experience as specialists 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 Assistant Professor of Human Factors and Cognitive Ergonomics at Twente University, at the department of Cognitive Psychology and Ergonomics. From 2015 to 2018, I was 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 adoption of new medical technologies e.g. point of care and portable medical devices. Since 2013, I was a research fellow at Human Factors Research Group at The University of Nottingham, for the Live Augmented Reality Training Environments (LARTE) project with Jaguar Land Rover. I undertaken experimental analysis on Human and Virtual/Augmented reality interaction for training operators abilities and skills. From 2011 to 2013 I was 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 programme, 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 carrier, from 2008 to 2011, I was 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.


Engineering & Materials Science
Biomedical Equipment
Human Engineering
User Experience
Medicine & Life Sciences
Biomedical Technology Assessment
Equipment And Supplies
Social Sciences
Technology Assessment


Prati, E. , Borsci, S., Peruzzini, M., & Pellicciari, M. (2022). A Systematic Literature Review of User Experience Evaluation Scales for Human-Robot Collaboration. In B. R. Moser, B. R. Moser, P. Koomsap, & J. Stjepandic (Eds.), Transdisciplinarity and the Future of Engineering (pp. 13-23). (Advances in Transdisciplinary Engineering; Vol. 28). https://doi.org/10.3233/ATDE220627
Federici, S., Filippis, M. L. D., Mele, M. L. , Borsci, S., Bracalenti, M., Bifolchi, G., Gaudino, G., Amendola, M., Cocco, A., & Simonetti, E. (2022). Approaches Adopted by Researchers to Measure the Quality of the Experience of People Working from Home: a Scoping Review. Journal of Technology in Behavioral Science, 7(4), 451-467. https://doi.org/10.1007/s41347-022-00264-4
Federici, S., Bifolchi, G., Mele, M. L., Bracalenti, M., De Filippis, M. L. , Borsci, S., Gaudino, G., Amendola, M., Cocco, A., & Simonetti, E. (2022). Remote Working: A Way to Foster Greater Inclusion and Accessibility? In K. Miesenberger, G. Kouroupetroglou, K. Mavrou, R. Manduchi, M. C. Rodriguez, & P. Penáz (Eds.), Computers Helping People with Special Needs: 18th International Conference, ICCHP-AAATE 2022, Lecco, Italy, July 11-15, 2022. Proceedings, Part II (pp. 192-199). [Chapter 23] (Lecture Notes in Computer Science (LNCS); Vol. 13342). Springer. https://doi.org/10.1007/978-3-031-08645-8_23
Ni, M., Adam, M. E., Akbar, F., Huddy, J. R. , Borsci, S., Buckle, P., Rubulotta, F., Carr, R., Fotheringham, I., Wilson, C., Tsang, M., Harding, S., White, N., & Hanna, G. B. (2021). Development and validation of ester impregnated pH strips for locating nasogastric feeding tubes in the stomach: a multicentre prospective diagnostic performance study. Diagnostic and Prognostic Research, 5(1). https://doi.org/10.1186/s41512-021-00111-9
Federici, S., Filippis, M. L. D., Mele, M. L. , Borsci, S., Bracalenti, M., Bifolchi, G., Gaudino, G., Amandola, M., Cocco, A., & Simonetti, E. (2021). Measuring the experience of remote home workers: A scoping review. https://doi.org/10.31234/osf.io/8szwx

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Universiteit Twente
Faculty of Behavioural, Management and Social Sciences
Cubicus (gebouwnr. 41), kamer B333
De Zul 10
7522NJ  Enschede

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Universiteit Twente
Faculty of Behavioural, Management and Social Sciences
Cubicus  B333
Postbus 217
7500 AE Enschede