With the digitalization of the direct and indirect working environment, complex information situations and new process sequences are created that are rapidly no longer comprehensible to the human user of a technical system.
Intelligent assistance systems can assist to filter relevant information, to communicate or to explain it in an understandable way and to support human decision-making processes cooperatively.
To this end, methods of human-centered design of such assistance systems are to be investigated, which allow a learning-based adaptation of assistance to the specific users and the respective work contexts. As a basis for this, a cognitive user model ("cognitive digital twin") shall be developed, which enables the individual and situational assessment of cognitive load, uncertainty, attention as well as strategies of decision making.
Contact: Prof. Dr. Stefan Kopp, Technische Fakultät, skopp[at]techfak.uni-bielefeld.de, Universität Bielefeld