
معرفی
S. Borsci is an Assistant Professor of Human Factors and Cognitive Ergonomics at the University of Twente, affiliated with the Faculty of Behavioural, Management and Social Sciences (BMS), specifically within the Learning, Data-Analytics, Technology (BMS-LDT) and Cognition, Data and Education (BMS-LDT-CODE) research groups. She is also an Honorary Senior Fellow of Human Factors for Health Technology at Imperial College London and collaborates with the UK NIHR MIC London Diagnostics unit on medical device research.
Her research focuses on human factors and ergonomics, particularly in the context of technology interaction, usability, accessibility, and user experience. She applies both qualitative and quantitative methods from applied psychology to study human behavior in ubiquitous computing environments and to improve health and disability service design. Her work emphasizes the matching of people with technology through rigorous evaluation frameworks.
S. Borsci has extensive expertise in designing ethnographic studies, remote and laboratory usability testing, and employing methods such as think-aloud protocols, focus groups, and surveys. She specializes in multivariate and predictive statistical techniques including factor analysis, regression models, clustering, bootstrap, and Monte Carlo simulations, using tools like SPSS and R. Her research spans healthcare technologies, assistive systems, e-learning platforms, and virtual/augmented reality training environments.
She has held research and academic positions across several institutions, including the University of Nottingham (LARTE project with Jaguar Land Rover), Brunel University, and the University of Perugia, where she taught psychology-related modules. She led the Italian team in the EU4ALL project on accessible e-learning systems under the European Sixth Framework Programme.
S. Borsci has contributed to interdisciplinary projects involving industry and healthcare innovation, particularly in supporting evidence-based development of medical technologies such as point-of-care devices. She continues to play an active role in advancing human factors integration in technology design and evaluation.
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