ONTOLOGICAL MODELLING FOR CONSEQUENCE-DRIVEN LEARNING: A HUMAN-CENTRED SIMULATION APPROACH TO SMART PROSTHESIS DESIGN AND EDUCATION

The increasing demand for individualised and adaptive prosthetic solutions required to cater for the ever-evolving amputee needs emphasises the importance of intelligent, human-centred Product-Service Systems (PSS) that help amputees throughout their prosthesis life cycle. This paper therefore contributes a novel framework for the human-centred design of smart prostheses, developed to improve the management of prosthesis product development while catering for evolving amputee needs. Our ongoing research interactions with prosthetists (the device designers) and other healthcare professionals, such as physiotherapists, have revealed that this PSS framework also functions as an educational tool, enabling the exploration of 'what if' scenarios that support learning and professional development for complex prosthesis design and aftercare challenges. Our PSS framework, adProLiSS, is based on an AI-driven ontological model of consequences arising by the prosthesis meeting different life cycle stakeholders (e.g. amputees, prosthetists, physios, service technicians). This model provides valuable information feedback to support design and re-design decision making, from initial prosthesis design to long-term aftercare.