The MSc programme in Psychology of the Arts, Neuroaesthetics and Creativity at Goldsmiths, University of London is currently accepting applications:
9th International Conference on Artificial Intelligence in Music, Sound, Art and Design
15 — 17 April 2020 Seville, Spain
The use of Artificial Intelligence for the development of artistic systems is an exciting and significant area of research. There is a growing interest in the application of these techniques in fields such as: visual art and music generation, analysis, and interpretation; sound synthesis; architecture; video; poetry; design; and other creative tasks. The main goal of evomusart* is to bring together researchers who are using Artificial Intelligence techniques for artistic tasks, providing the opportunity to promote, present and discuss ongoing work in the area.
Submissions will be rigorously reviewed for scientific and artistic merit. Accepted papers will be presented orally or as posters at the event and included in the evo proceedings, published by Springer Verlag in a dedicated volume of the Lecture Notes in Computer Science series. The acceptance rate at evomusart 2018 was 39% for papers accepted for oral presentation, and 26% for poster presentation. Submitters are strongly encouraged to provide in all papers a link for download of media demonstrating their results, whether music, images, video, or other media types. Links should be anonymised for double-blind review, e.g. using a URL shortening service.
1 November 2019
Networks in Art, Sound and Design: The journal Neural Computing and Applications (Q1, IF: 4.66) will publish a Special Issue called Networks in Art, Sound and Design. The editors of this Special Issue will be Juan Romero and Penousal Machado. Some authors from evomusart* 2020 will be invited to submit a new paper to this special issue.
Artificial Intelligence and Complexity in Art, Music, Games and Design: Juan Romero and Colin Johnson will publish an Entropy (IF 2.419) Special Issue on Artificial Intelligence and Complexity in Art, Music, Games and Design for the evomusart*. All the papers accepted are encouraged to submit to this special issue.
Juan Romero: University of A Coruña, Spain jj(at)udc.es
Anikó Ekárt: Aston University, UK a.ekart(at)aston.ac.uk
Tiago Martins: University of Coimbra, Portugal tiagofm(at)dei.uc.pt
Understanding aesthetic experience using multisensory extended reality
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.
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.