Human-Computer Interaction: Enhancing User Experience in AI Systems

Abstract

Human-Computer Interaction (HCI) plays a crucial role in shaping the usability, accessibility, and overall experience of AI-driven systems. As artificial intelligence continues to advance, designing intuitive and user-centric interfaces becomes essential to maximize engagement, efficiency, and trust. This paper explores the fundamental principles of HCI in AI systems, highlighting key factors such as adaptive interfaces, natural language processing, personalization, and ethical considerations. It also discusses challenges related to cognitive load, bias, and transparency, emphasizing the need for user-friendly designs that promote seamless human-AI collaboration. By integrating HCI best practices, AI systems can be tailored to diverse user needs, enhancing usability and fostering positive interactions. The study concludes with recommendations for future research and development aimed at optimizing user experience in AI-driven applications.