Date of Award

7-14-2023

Document Type

Thesis

Publisher

Santa Clara : Santa Clara University, 2023.

Degree Name

Master of Science (MS)

Department

Computer Science and Engineering

First Advisor

Margareta Ackerman

Abstract

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.

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