Development of Functional-Temporal Representation of Mental Model Solutions in the Task of Explanation Generation in Intelligent Systems

The subject of the research is the process of constructing a mental model of a solution for a user of an intelligent information system. The aim is to develop an approach to building a functional-temporal representation of the mental model of a solution for an intelligent information system. Objectives: development of functional-temporal representation of the mental model of a solution for an intelligent information system; development of a method for constructing a mental model of a solution for an intelligent information system. Scientific novelty of the obtained results lies in the following. A functional-temporal representation of the mental model has been developed, which contains a structured set of solution properties in the functional aspect, as well as scenarios of solution use in the temporal aspect. A method for constructing functional-temporal representation of the mental model has been proposed, which includes stages of forming a structured set of input data, forming a list of potential mental models according to the usage process, selecting relevant solution properties, building mental models based on integration of functional and temporal characteristics, aggregating properties according to usage scenarios, and forming a supplemented representation of mental models. The method makes it possible to reasonably select relevant explanations about the obtained solution for the user. Experimental verification of the developed method demonstrated the possibility of forming mental models that reflect both functional properties of solutions and scenarios of their use based on analysis of user feedback from the intelligent system.