Human interaction for process supervision based on end-user knowledge and participation

Abstract

An approach for designing the artificial intelligence part into the human-machine interface is described. Two application domains, namely chemical and cement plants, are considered. Interactive techniques for a better involvement of the end-user in earlier design phases are described. They include task and knowledge analyses, participative rapid prototyping design and usability testing. The logical design of knowledge based functionalities of the human-machine interface is exemplified with tracking interaction and supervising dialogue. The support tools for participative design are also briefly mentioned.