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The influence of olfaction on the perception of high-fidelity computer graphics
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Ramić-Brkić, Belma (2012) The influence of olfaction on the perception of high-fidelity computer graphics. PhD thesis, University of Warwick.
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WRAP_THESIS_Ramic-Brkic_2012.pdf - Submitted Version Download (9Mb) | Preview |
Official URL: http://webcat.warwick.ac.uk/record=b2684723~S1
Abstract
The computer graphics industry is constantly demanding more realistic images and
animations. However, producing such high quality scenes can take a long time, even
days, if rendering on a single PC. One of the approaches that can be used to speed
up rendering times is Visual Perception, which exploits the limitations of the Human
Visual System, since the viewers of the results will be humans. Although there
is an increasing body of research into how haptics and sound may affect a viewer's
perception in a virtual environment, the in
uence of smell has been largely ignored.
The aim of this thesis is to address this gap and make smell an integral part of
multi-modal virtual environments.
In this work, we have performed four major experiments, with a total of 840 participants.
In the experiments we used still images and animations, related and
unrelated smells and finally, a multi-modal environment was considered with smell,
sound and temperature. Beside this, we also investigated how long it takes for an
average person to adapt to smell and what affect there may be when performing a
task in the presence of a smell.
The results of this thesis clearly show that a smell present in the environment
firstly affects the perception of object quality within a rendered image, and secondly,
enables parts of the scene or the whole animation to be selectively rendered in high
quality while the rest can be rendered in a lower quality without the viewer noticing
the drop in quality. Such selective rendering in the presence of smell results in
significant computational performance gains without any loss in the quality of the
image or animations perceived by a viewer.
Item Type: | Thesis (PhD) | ||||
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Subjects: | Q Science > QP Physiology T Technology > T Technology (General) |
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Library of Congress Subject Headings (LCSH): | Computer graphics, Smell, Senses and sensation, Human-computer interaction | ||||
Official Date: | December 2012 | ||||
Dates: |
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Institution: | University of Warwick | ||||
Theses Department: | School of Engineering | ||||
Thesis Type: | PhD | ||||
Publication Status: | Unpublished | ||||
Supervisor(s)/Advisor: | Chalmers, Alan | ||||
Extent: | xiv, 149 leaves : illustrations, charts. | ||||
Language: | eng |
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