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

Xingyun Gong, Xiaojun Li
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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.
基于人工智能的人机交互交流与认知心理智能决策系统——案例研究
认知心理学是一门关于人类知识的科学,它是指人们感知、获取、记忆、思考和理解智力的能力。心理策略包括控制人体的每一个动作和状态。心理事实的问题状态包括精神障碍,如抑郁、压力、焦虑和自卑,导致记忆丧失。介绍了基于人工智能的认知心理管理框架(CPMF-AI)的新兴技术。提出的框架被扩展到预测人类大脑的心理标准,以实现实际的幸福。有四种方法可以监测记忆力、压力和其他人类精神障碍。它们是远程神经系统(DNS)、卷积心理跟踪系统(CPTS)、智能神经系统(INS)和记忆构建策略(MBS)。除了语言方面,身体方面在人机交互(HRI)中起着至关重要的作用,与更有限的HRI交流相比,身体方面起着重要作用。这些方法被整合到四个案例研究中,以检测监测心理问题的神经通道系统。仿真分析有助于提高框架的精度,降低错误率。因此,所提出的认知技术系统相对于现有的方法是更好的。
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