Date of Award
Santa Clara : Santa Clara University, 2023.
Master of Science (MS)
Computer Science and Engineering
Therapeutic Computational Creativity is an emerging domain that challenges us to explore applications of Computational Creativity systems to mental health and wellness. This work presents SOVIA, an interactive system that endows Claude Monet’s art with responsive auditory experiences. SOVIA uses computer vision trained on Monet’s artwork to take the user “into the painting.'' When the user interacts with a digital version of Monet's landscapes, their mouse positions are mapped to sounds that artistically represent the objects that the user is currently exploring in the art. These interactive musical journeys have the potential to make classical art more captivating for modern audiences. We further assess the SOVIA’s potential in a therapeutic context, conducting a user study followed by thematic analysis to ascertain SOVIA's value for mental well-being. Results show SOVIA’s promise as an aid for mental wellness.
Gayhardt, Lauryn, "SOVIA: Sonification of Visual Interactive Art" (2023). Computer Science and Engineering Master's Theses. 36.