dr. S. Borsci (Simone)

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.

Expertise

• Computer Science

  • User
  • Usability
  • Evaluation
  • Models
  • Assistive Technology
  • Chatbot

• Psychology

  • Assessment
  • Scoping Review

Organisations

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.

Publications

Research profiles

Courses academic year 2025/2026

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2024/2025

Human Factors and Cognition in Transport:

• FLagship 2 and 4 (WP 15,16 and 32) ERJU Project - in collaboration with ProRail as part of the European Joint Rail Undertaking (2023-2027). Human Factors for the Future of Rail Transport in Europe

Human Factors and Cognition in Healthcare:

• EU Horizon PROTECT-CHILD (https://protect-child.eu/) — WP Leader. Improve Pediatric Transplant Outcomes with Genomic Data Integration (2024–2029). Defining a Systematic Method of Human Factors Co-Creation: User Requirements definition (functional and non-fucntional), User Stories and UX Architecture 
• NWO SepsPic: Highly Multiplexed Photonics Integrated Circuit (PIC) Sensors for Rapid Sepsis Diagnostics (2024–2027). WP Leader. Defining a Systematic Method of Human Factors Co-Creation: User Requirements definition (functional and non-fucntional), User Stories and UX Architecture.
• EU HORIZON LATE-AYA. WP Leader. Understanding and Addressing Late Effects of Treatment in AYA Cancer Survivors Using AI-Based Digital.  Phenotyping and a Non-Invasive Holistic Approach (2025–2028). Defining a Systematic Method of Human Factors Co-Creation: User Requirements definition (functional and non-fucntional), User Stories and UX Architecture.
• BMS Internal funding (Health care BMS Theme), development of a prototype of an escape room to train intensive care professionals  

AI for humans

NWA DECIDE Democratizing AI – Empowering Citizens through Transparent Decision-making. CO-I, The DECIDE project aims to identify and implement new opportunities for solutions that contribute to empowerment and democratic participation, both in existing AI DecisionSupport-Systems (AI-DSS) and in our proposed innovation of Citizen-Support-Systems (AI-CSS).

Address

Organisations