Epistemic accesses and biases in technologically-enhanced learning and performance of complex piano music – the case of Iannis Xenakis (Prof. Dr. Pavlos Antoniadis, Präsentation Forschungsprojekt)
After a brief overview of the research outputs during my Humboldt Stiftung / Foundation Fellowship at the Audio Communication Group of TU Berlin, I will focus on forms of epistemic access and biases in technologically-enhanced learning and performance of complex piano music. The forms of epistemic access in question include introspection, embodied cognitive theories, computation of multimodal performance data, interactive system development, performance augmentation and Human-AI comprovisation. Epistemic biases refer to a priori conceptions and models of human understanding, learning, knowledge and judgment, which could constrain both systems’ architectures as well as human-in-the-loop components of the above-mentioned applications. As an homage to the Iannis Xenakis Centenary 2022, my case studies will mostly feature the French-Greek composer’s solo piano works, with an emphasis on the development of the interactive system GesTCom (Gesture Cutting through Textual Complexity) with Ircam’s ismm team, on the EUR-ArTeC project ‘Habiter (avec) Xenakis’ and on Ircam’s REACH programme.
Official website: https://www.tu.berlin/ak/veranstaltungsdetails/events/event/01859798-de6c-76aa-99ab-d2cdd2843cbf?fbclid=IwAR0yXtbZ-LKZ2dXXXGsQ3gIHmlgB-FLdn6Fg0gG7t15gY0QTvzTugQOrEIc