Understanding aesthetic experience using multisensory extended reality

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PROJECT DESCRIPTION

We rely on information from all our senses when making aesthetic judgments. Recent work on visual perception has established fractal- and natural scene statistics-based frameworks to identify characteristics of image structure predictive of aesthetic preference. However, little is known about whether these fractal and structural characteristics are shared across senses. This multidisciplinary project will be the first to combine cutting-edge methods in computer graphics, virtual reality, 3D printing, psychological science and computational modelling to understand the cross-sensory perceptual processes that govern our experience of surfaces and materials in realistic everyday scenarios.

IDEAL CANDIDATE

The ideal candidate will be a self-starter who is highly capable of applying research subject matter across diverse fields of the arts, psychology and computer science. They should currently hold an undergraduate Bachelor’s degree with honours in psychology, computer science, vision science or equivalent Master’s program of study. The ideal candidate would have already initiated a publication track record in the area of the proposed project.

The ideal candidate will have demonstrated relevant multi-disciplinary knowledge and experience in the following key research approaches relevant to the project:

*Psychophysics or Human Computer Interactivity (HCI) research on the quantification of human experience.
*Knowledge of methods used in Computer Graphics and 3D simulation.
*Understands lighting simulation and rendering material properties of surfaces
(e.g., diffuse and specular shaders).
*Knowledge and experience with programming applications (e.g., using C/C++, Unity or Unreal engines).
*Able to implement best practices in data analysis and computational modelling.
Supervisory team
Juno
Kim

Science
Optometry and Vision Science
Branka
Spehar

Science
Psychology
Tomasz
Bednarz

Art & Design
School of Art & Design
juno.kim@unsw.edu.au