Kıvanç Tatar

Assistant Professor

Kıvanç Tatar is an artist-technologist focusing on Machine Learning and Artificial Intelligence for Music and Interdisciplinary Arts. His research in Art and Technology integrates Interactive Arts, Advanced Technology, and Design to create transdisciplinary knowledge.

Gothenburg, Sweden kivanctatar.com

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Bottom-up live coding: Analysis of continuous interactions towards predicting programming behaviours

by Georgios Diapoulis, Iannis Zannos, Kıvanç Tatar, and Palle Dahlstedt

Published: Jun 16, 2022

This paper explores an alternative approach to interaction based on the discrete Huffman encoding of input from a single continuous controller. Statistical analysis indicates the feasibility of a tactically predictive system on this basis.