This paper presents an artistic exploration of a body–machine system for music–dance performance, evolving from a concept first showcased at a previous conference on New Interfaces for Musical Expression (NIME). The main idea is to use whole-body movements to control acoustic feedback loops. Drawing inspiration from the practice of no-input mixing, we transition from traditional mixer knobs to a dynamic setup involving a lavalier microphone and a multi-speaker system, further augmented by control data from Myo armbands worn on the performer’s forearms. In the paper, we reflect on the artistic approaches that blend the uncanny nature of feedback loops with the expression of human movement. Following a brief system overview, we report a comparative evaluation grounded in a dancer’s and a musician’s embodiment and agency experiences. Finally, we introduce emerging ideas for future innovations across environments, objects, and algorithms as key areas that will guide the development of new technologies.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

From Knobs to Whole Body: Dance with Feedback

  • Çağrı Erdem,
  • Katja Henriksen Schia

摘要

This paper presents an artistic exploration of a body–machine system for music–dance performance, evolving from a concept first showcased at a previous conference on New Interfaces for Musical Expression (NIME). The main idea is to use whole-body movements to control acoustic feedback loops. Drawing inspiration from the practice of no-input mixing, we transition from traditional mixer knobs to a dynamic setup involving a lavalier microphone and a multi-speaker system, further augmented by control data from Myo armbands worn on the performer’s forearms. In the paper, we reflect on the artistic approaches that blend the uncanny nature of feedback loops with the expression of human movement. Following a brief system overview, we report a comparative evaluation grounded in a dancer’s and a musician’s embodiment and agency experiences. Finally, we introduce emerging ideas for future innovations across environments, objects, and algorithms as key areas that will guide the development of new technologies.