SymGeons: A Prototype Model of Visual Complexity with Implications For Visual Control Tasks |
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Authors: | L N Patel P O’Brian Holt |
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Affiliation: | (1) Department of Computing and Electrical Engineering, Heriot-Watt University, Edinburgh, UK, GB |
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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 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 complexity
and how this can be modelled mathematically and/or computationally. A 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 which constitute foreground objects. This paper outlines the derivation and ongoing development
of the ‘SymGeon’ model and how it compares to human perception of visual complexity. The application of the model to understanding
complex human-in-the-loop problems associated with visual remote control operations, e.g. control of remotely operated vehicles,
is discussed. |
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Keywords: | : Automated recognition – Cognitive modelling – Geometric primitives – Perceived complexity – Remote perception – SymGeons |
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