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What is Recognition by components or “RBC”

Chapter 6
Handbook of Research on Practices and Outcomes in Virtual Worlds and Environments
The structure-based theory of human visual perception that suggests that the eyes and mind break down an object into component parts that may then be recognized as a particular aggregated object; the theory that people first ascertain the edge of an object, then its non-accidental properties and regions of concavity, then the component parts, and then a matching of the components to “object representations,” which leads to object identification
Published in Chapter:
Thin Screen: The Creation of Depth Perception in Desktop Virtual Reality in Alignment with Human Visual Perception
Shalin Hai-Jew (Hutchinson Community College, USA)
Copyright: © 2012 |Pages: 19
DOI: 10.4018/978-1-60960-762-3.ch006
Abstract
Human depth perception involves complex visual and brain functions. Depth perception in desktop virtual reality has become more important given the uses of such spaces for learning, training, collaboration, simulations, showcasing work, and conducting research on human behaviors. This chapter involves a meta-analysis of the extant research on human depth perception in virtual worlds. It posits some early design concepts for both the creation and evolution of such spaces but also their deployment for educational purposes.
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