DYSPHONIA is a music and dance work, for violin soloist with a live chamber orchestra, including multiple laptops and a custom-built gesture detection system worn by a dancer. The piece was choreographed by Professor Charlotte Adams of the University of Iowa Dance Department and premiered at the Faculty Graduate Dance Concerts in February of 2015.
This piece is inspired by ongoing research into computer programming, gesture and music-making, artificial intelligence (AI), and creative algorithms. While the actual algorithms I developed for use in this piece are far from sentient, it is my hope that this piece may bring about discussion and further interest in creative AI. In our initial discussions, choreographer Charlotte Adams and I discovered that we both have witnessed a large number of people buying into immersive technologies without questioning the total cost to their well being, without questioning whether the technology has a positive impact on their lives, and without an understanding regarding the complex changes being wrought in our society due to the mass adoption of such technologies.
Thus we designed this piece around the technology itself, so that the union between the dancer and the prosthesis is brought about by the movement and action that takes place in the piece. The intent was to create a scene where the audience suddenly becomes aware that something new is happening, namely that the dancer’s glove has started to make noise and there is a new connection made between the music and the dance.
| Identifer | oai:union.ndltd.org:uiowa.edu/oai:ir.uiowa.edu:etd-5770 |
| Date | 01 May 2015 |
| Creators | Palamara, Jason Andrew |
| Contributors | Gompper, David Karl, 1954- |
| Publisher | University of Iowa |
| Source Sets | University of Iowa |
| Language | English |
| Detected Language | English |
| Type | dissertation |
| Format | application/pdf |
| Source | Theses and Dissertations |
| Rights | Copyright © 2015 Jason Andrew Palamara |
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