Human–Robot Interactive Communication and Cognitive Psychology Intelligent Decision System Based on Artificial Intelligence — Case Study

Abstract

Cognitive psychology is a science of human knowledge, which means that people perceive, acquire, memorize, think, and comprehend intellectual capabilities. The psychological strategy involves controlling every action and status of the human body. The problematic states of psychological facts include mental disorders like depression, stress, anxiety, and inferiority complex, leading to memory loss. The emerged technique of cognitive psychological managing framework using artificial intelligence (CPMF-AI) is introduced. The proposed framework is extended to forecast the psychological standards of the human brain for practical well-being. There are four methods to monitor memory power, stress, and other human mental disorders. They are distant neural systems (DNS), convolutional psychology tracking systems (CPTS), intelligent neural systems (INS), and memory-building strategies (MBS). Besides language aspects, physical aspects play a vital part in human–robot interaction (HRI) and make the difference compared to the more limited HRI communication. These methodologies are integrated into four case studies to detect neural passage systems for monitoring mental issues. The simulation analysis helps enhance the framework’s accuracy and minimize the error rate. Thus, the proposed system of cognitive technology is comparatively better than the existing methods.