Capabilities and consequences of recursive, hierarchical information processing in visual systems
A study on human and robot perception and the architecture of perceptual information processing
@SCIoI
This research project investigates human and robot perception and aims to develop a constructive understanding of perceptual information processing. We will create models using an information processing pattern that originated in robotics to understand perceptual mechanisms in human vision. The information processing pattern possesses similar high-level characteristics to human visual information processing, and thus has capabilities to generate similar behavior. We will apply this in an analytic-synthetic loop, simultaneously modeling while collecting psychophysical data, and adjusting the model with new observations. Based on the resulting insights we will produce an algorithmic model of human perception, capable of replicating visual phenomena and of making meaningful predictions about experimental outcomes. We will also produce robot perception algorithms that leverage insights about the human perceptual system to advance the state of the art in the synthetic disciplines.
