HUMAN AI INTERACTION THROUGH A PSYCHOLOGICAL LENS: EMOTIONS, COGNITION, AND BEHAVIOUR

Abstract

The growing application of artificial intelligence (AI) in personal, social, and work life has fundamentally changed people's interaction with technology. AI has come to be much more than simply a tool; AI now fills a near social duty reflected in emotion, decision making, and communication. From a psychological angle, this study looks at human AI interaction, emphasising the dynamic interplay among feeling, cognition, and behaviour. These develop user interest in artificial intelligence. Using insights from cognitive psychology, affective science, and human computer interaction studies, this article looks at the ways users create meaning, establish trust, and bargain control when using artificial intelligence systems. The emotional dimension of this life discusses how emotions in the form of trust, empathy, fear and anxiety develop in relation to AI systems particularly in sensitive contexts such as healthcare, education and finance. The cognitive dimension of this work focuses on attention, perception, reasoning and adaptive learning that contribute to how and for how long users are able to interpret or reconstruct algorithmic decision making in relation to their personal expectations. The behavioural layer considers user patterns of adoption, resistance, and long term use of AI, particularly as they reflect socio-psychological consequences of continued interaction with AI and technology whilst highlighting the dynamic interaction between humans and artificial systems in which human psychological states interact with systems use, as well as AI taking into consideration the emotional state of the user. The study also takes into account the ethical and societal ramifications of human AI interaction, which includes dangers of dependency or excessive reliance, cognitive offloading (which could allow the AI to perform entire tasks for the user), and disengagement or emotional distance, as well as the benefits of empowerment, efficiency, and personal, tailored support. It discusses ethical design principles, the importance of transparency in algorithmic decision making, and building user trust through human centric and empathic interfaces. Some practical suggestions for policymakers, designers, and stakeholders are provided to minimise harm and enhance psychological well-being through AI integration. In summary, the current study contributes to the growing academic research in this area, examining the user's psychology in understanding the interplay of emotion, cognition, and behaviour into human AI interaction. The gap in understanding the user's psychology contributes to human knowledge of AI as it relates to ethical considerations in human AI interaction, and it also has implications for creating this technology AI interaction and experience in practice.