Perceptual interactions in human vision and implications for information visualization

Visual perception is a complex process, yet we make use of it all the time and usually without any effort. When we are reading a newspaper, driving a car, surfing the internet, or playing a videogame, for instance, our brains are carrying out enormous amounts of computations to turn the flow of images on the retina into meaningful pieces of information. Although these computations easily surpass what would be possible on today's most advanced computers, we are hardly ever aware of all the work that is going on in the background. When we do become aware of it, it is typically because we are frustrated about the limitations of vision, for example when we are unable to read a sign in the distance, to find our car keys in a messy room, or to locate an icon on a cluttered desktop. Visual tasks, such as searching for a particular target object among other objects, typically become more difficult to solve when objects become more complex or the density of objects higher. This may partly be due to attentional limitations. However, there is also experimental evidence that suggests that perception of one visual object is aaffected by presence of other objects. The main motivation of the work presented in this thesis was to study interaction effects in visual perception, between visual features (e.g., the color and size of the same object) as well as between objects. Of particular interest regarding perceptual interactions between objects is the so-called `crowding' effect, which refers to the phenomenon that objects become more difficult to recognize when surrounded by other objects. Before introducing the crowding effect, a brief overview will be given of the main structures of the visual system.

	Titel en inhoudsopgave
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	Algemene discussie en conclusie
	Bibliografie
	Samenvatting
	Dankwoord
	Publicaties
	Volledige dissertatie

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