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A Fuzzy Inference System as a Tool to Measure Levels of Interaction
The interaction between humans and their environment is a current research area. Technology has been part of the environment with which humans have forged their progress, making this socio-technical phenomenon a field of study of interest in the field of research and technological development. In this paper, we present a model of human- machine interaction representation using a diffuse inference system. The proposal describes a system that bases its reasoning on user performance determined by levels of interaction. These levels of interaction are the result of interactive actions and situations that are exemplified within the user-exhibition context in an interactive museum. The system uses the inputs present in the interaction to configure and adequately feedback to it. The objective is to improve the user experience by managing the interaction process in user-exhibition relationships.