Читать книгу Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms - Группа авторов - Страница 13

Cognitive models are useful in assessing to make predictions ease at top-level management systems in several aspects or many variables to interact and provide the approximate behavioral aspects observed in various experimental empirical studies. In a real-world lifetime situation, many factors are influenced to produce outcome reports as a behavioral analysis report. This is done neural processing data with the representation of patterns. These models outcome in terms of processes and products interact with various people which are shown in the empirical experiments. These below are necessary tools for psychologists to interact with various designers who care about cognitive models. These models for HCI have an adequate different goal to use necessary interfaces better for users. In general, there are at least three cognitive models in service as a general goal [1].

 Interactive user behavioral predicting systems

 Adaptive interaction observatory changing systems

 Group interaction model building systems