Integrating AI into Spatial Experiences

This unit examines how AI — including ML, DL, computer vision, and generative models — combines with spatial computing to create immersive, measurable experiences. Students study implementation patterns, sensory and UX design, monitoring and optimization, and ethical/regulatory responsibilities to prepare prototypes and deployment plans in subsequent units.

Learning Objectives

• Analyze strategies for integrating AI, virtualization, and computer vision into spatial computing solutions, identifying trade-offs, data needs, and architecture options
• Apply machine learning and deep learning concepts to develop prototype spatial interactions and sensory design plans that leverage GenAI and CV capabilities
• Evaluate ethical, legal, and regulatory implications of spatial AI deployments and propose concrete compliance, privacy, and risk-mitigation measures
• Demonstrate methods for monitoring, optimizing, and measuring customer, user, and employee experience metrics and system performance in spatial computing applications