The perceived atmosphere in a space is to a large extent determined by the illumination of the space, which usually is a
combination of artificial lighting and daylight naturally entering the room. In this study we investigated how the presence
of daylight affects the perceived atmosphere of a light ambience both in a real illuminated space and in a visualization of
the space. The perceptual accuracy of these visualizations has been demonstrated in previous studies for artificial
interior lighting, but not yet for the contribution of daylight to the interior lighting. Our results showed only a relatively
small effect of the contribution of daylight both on the perception of light and the perception of the atmosphere of an
interior light ambience. Possibly, adaptation plays an important role in this finding. Further, we demonstrated that the
perceptual accuracy of visualizations containing daylight was for the majority of the light and atmosphere perception
attributes similar to visualizations showing only artificial interior lighting.
Rendered images of varied lighting conditions in a virtual environment have been shown to provide a perceptually
accurate visual impression of those in a real environment, providing a valuable tool set for the development and
communication of new lighting solutions. In order to further improve this tool set, an experiment was conducted to
assess the impact of image size and viewing interactivity on perceptual accuracy. It was found that a high-quality TVsized
display outperforms a smaller laptop screen and a larger projected image on most measures, and that the expected
value of the interactive panoramic format was masked by the fatigue of using it repeatedly.
Performing psychophysical experiments to investigate lighting perception can be expensive and time consuming
if complex lighting systems need to be implemented. In this paper, display-based experiments are explored
as a cost effective and less time consuming alternative to real-world experiments. The aim of this work is to
better understand the upper limit of prediction accuracy that can be achieved when presenting an image on a
display rather than the real-world scene. We compare the predictive value of photographs and physically-based
renderings on a number of perceptual lighting attributes. It is shown that the photographs convey statistically
the same lighting perception as in a real-world scenario. Initial renderings have an inferior performance, but are
shown to converge towards the performance of the photographs through iterative improvements.