Creating Augmented and Virtual Realities

Part V. Enhancing Data Representation: Data Visualization and Artificial Intelligence in Spatial Computing

During a time when “big data” companies have emerged with a large investment in working artificial intelligence (AI) models in production, it is essential for new and seasoned software engineers, designers, and technology business professionals in virtual reality (VR), augmented reality (AR), mixed reality (MR), and eXtended Reality (XR), or X Reality, to have a solid foundational understanding of the use and visualization of real-world data, user-generated data, and data constructed in embodied reality. In the following chapters, lead anthology book editor and University of San Francisco Deep Learning Diversity Fellow, Erin Pangilinan; Unity director of AI research department, Nicolas Meuleau; and Unity senior software engineer, Arthur Juliani discuss various aspects of immersive applications and experiences through the lens of data-driven principles. This part seeks to do the following:

• Define data visualization, AI, machine learning, and reinforcement learning paradigms and techniques through practical industry use cases that involve the human body, whether user generated in spatial computing, abstractions, or three-dimensional (3D) reconstructions of real-world data represented in spatial computing

• Offer resources and tips for those building with open source data and frameworks as well as opportunities for further exploration as spatial computing and machine learning ...