Selective rendering in a multi-modal environment: scent and graphics
Visual perception is becoming increasingly important in computer graphics. Research on human visual perception has led to the development of perception driven computer graphics techniques, where knowledge of the human visual system and, in particular, its weaknesses are exploited when rendering and displaying 3D graphics. It is well known that many sensory stimuli, including smell, may influence the amount of cognitive resources available to a viewer to perform a visual task. In this paper we investigate the influence smell effects have on the perception of object quality in a rendered image. We show how we can potentially accelerate the rendering of images by directing the viewer's attention towards the source of a smell and selectively rendering at high quality only the smell emitting objects. Other parts of an image can be rendered at a lower quality without the viewer being aware of this quality difference. By doing this, we can significantly reduce rendering time without any loss in the user's perception of delivered quality.