Heriot-Watt University,
Abstract:
The way in which humans perceive and react to visual complexity is an important issue in many areas of research and application, particularly because simplification of complex matter can lead to a better understanding of both human behaviour in visual control tasks as well as the visual environment itself. One area of interest is how people perceive their world in terms of visual complexity and how this can be modelled mathematically and/or computationally. A novel prototype model of complexity has been derived using subcomponents called “SymGeons ” (Symmetrical Geometric Icons) based on Biederman's original Geon Model for human perception. The SymGeons are primitive shapes with adjustable parameters which constitute foreground objects. This paper will outline the derivation and ongoing development of the "SymGeon " model and discuss how it compares to human perception of visual complexity. The application of the "SymGeon" model to understanding complex human-in-theloop problems associated with visual remote control operations, e.g. control of ROVs, will be discussed.
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