MSAI 631 - Artificial Intelligence for Human-Computer Interaction

Credit(s): 3 hours
This course examines the convergence of Artificial Intelligence (AI) and Human-Computer Interaction (HCI) and how they have revolutionized the ways we interact with machines and systems. The class emphasizes the symbiotic relationship between AI and HCI, equipping students with the knowledge and skills to design, develop, and optimize intelligent interactive systems.

Learning Objectives:

•Comprehend the foundational concepts of Artificial Intelligence (AI) and Human-Computer Interaction (HCI) and recognize how their integration shapes modern interactive systems, user experiences, and digital interfaces.

•Apply user-centered design principles, usability heuristics, and accessibility guidelines to design and develop intuitive, user-friendly interfaces that cater to diverse user needs and preferences

•Demonstrate proficiency in integrating machine learning techniques, such as pattern recognition, classification, and clustering, to create real-time interfaces that adapt to user interactions and preferences.

•Develop expertise in creating AI-powered natural language interfaces by exploring concepts in Natural Language Processing (NLP), enabling the design of conversational agents, chatbots, and voice-driven applications.

•Identify potential ethical challenges related to AI-powered interfaces, including bias, privacy, transparency, and accountability, and propose strategies to address these concerns while designing HCI solutions.

•Gain practical experience in designing, prototyping, and evaluating AI-driven interactive systems through hands-on projects, applying usability testing and iterative design to refine and optimize the user experience.