A Process Mining Approach to Analyse User Behaviour

Designing and personalising systems for specific user groups encompasses a lot of effort with respect to analysing and understanding user behaviour. The goal of our paper is to provide insights about patterns of behaviour of specific user groups; we consider farmers as a specific user group, during the usage of a decision support system supporting cultivar selection OPTIRas. We analyse users’ patterns of behaviour by combining these insights with decision making theories, and previous work concerning the development of farmer groups. We provide a method of automatically analysing the logs resulted from the usage of the decision support system by means of process mining. The results of our analysis can be used to support the redesigning and personalization of decision support systems in order to address specific users, namely farmer’s characteristics.