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Mapping codependency: Intermedial causality in real-time audiovisual performance

Published online by Cambridge University Press:  30 September 2026

Roberto Alonso Trillo*
Affiliation:
Academy of Music, Hong Kong Baptist University, Hong Kong
Peter A. C. Nelson
Affiliation:
Academy of Visual Arts, Hong Kong Baptist University, Hong Kong
Kratika Jain
Affiliation:
Indian Institute of Technology Kanpur, India
*
Corresponding author: Roberto Alonso Trillo; Email: robertoalonso@hkbu.edu.hk
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Abstract

This paper examines how multimodal mapping can function as a collaborative methodology in real-time audiovisual performance. It explores how functional codependency and real-time risk create bonds between artists, becoming fundamental narrative and dramaturgical vectors, and revealing the aesthetic influence of the technological systems shaping contemporary practice. Building on technical research into connectivity and latency, we examine the compositional affordances of those systems and how they shape the experience of performers and audiences. We treat telematic performance as an enabling condition for intermediality and develop our argument through two real-time performances built on a recursive mapping process. The first focused on capturing and transforming gestural data from a violin bow into a robotic system for painting calligraphy within a general constraint of telematic data transfer; the second constructed a longer chain of causality between kinetic sculpture, machine vision, generative music and video mapping. We detail a four-stage multimodal mapping methodology and reflect on how performers and audiences perceive chains of dependency in real-time systems, on the broader apophenic tendency to interpret causation and intention in complex systems, and on what this implies for a reconsideration of post-media aesthetics.

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Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Figure 1. The four-stage multimodal mapping framework. Each actuated output re-enters the space as a capturable signal (dashed return), closing the loop.

Figure 1

Figure 2. A violinist plays when the UR3e robot arm paints in the foreground based on their bow motion. A close-up of the painting process is projected onto the 360° screen.

Figure 2

Figure 3. System architecture diagram for Remote Gestures, showing the spatial configuration of the performance (left) and the data flow from violin sensors and microphones through AllHands/JackTrip to TouchDesigner, and out to the 360° projection and UR3e robot arm (right).

Figure 3

Figure 4. Figure 4 long description.Histogram trace animation driven by motion from the Metabow from performers both inside and outside the 360° cinema from Remote Gestures.

Figure 4

Figure 5. Figure 5 long description.A violinist performs with the real-time calligraphy system in Remote Gestures.

Figure 5

Figure 6. manteia saw the creation of a larger ecology of artists and linked works.

Figure 6

Figure 7. Figure 7 long description.System architecture diagram for manteia. Top: the spatial configuration of the performance, keyed as 1 audio computer, 2 central control computer (‘brain’), 3 lighting control system, 4 smoke sculpture, 5 central performance platform, 6 kinetic sculpture, 7 main projection screen and 8 side projection screens, with human performers and cameras also marked. Bottom: the data flow from the kinetic artworks with sensors, routed through the central ‘brain’ via MadMapper and back out to other artworks, screens and speakers.

Figure 7

Figure 8. Turbulent patterns in smoke are detected via webcam and drawn in real-time via Supercollider in manteia.

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