Empirically Studying Participatory Sense-Making in Abstract Drawing with a Co-Creative Cognitive Agent. Kandinsky Compositions: The Music of the Spheres. Flow: The Psychology of Optimal Experience. Performing Structured Improvisations with pre-trained Deep Learning Models. IEEE, IEEE Xplore, Arles, France, 199-200. In 2015 IEEE Symposium on 3D User Interfaces (3DUI). Crosscale: A 3D virtual musical instrument interface.
CS 224n: Natural Language Processing with Deep Learning, Spring, Vol. Music composition using recurrent neural networks. Nipun Agarwala, Yuki Inoue, and Axel Sly.
We conduct experiments with a population of musical experts and non-experts, showing that non-experts were able to learn and create high-quality musical productions through our interactive approach. We present how this approach can be effective through a novel system that enables non-experts to compose coherent musical pieces through the use of imagetic elements in a virtual environment. Hence, in this paper we introduce the concept of meta-interactivity for compositional interfaces, which extends an individual's capabilities by the translation of an effort into a proficiency. While allowing novel forms of interactivity with partially-autonomous systems, these techniques could also foster the emergence of artworks not limited to experts. In fields such as HCI and AI, however, these approaches were not yet employed for supporting users to create different forms of artworks, like a musical corpus. The concept of gamified interactive models and its novel extensions, such as playification, has been widely approached in order to engage users in many fields.
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