*Dear all,*
**
**
*(apologies for cross-posting) *
*
Please find and distribute the Call for Participation for the
EmAI–Embodied Perspectives on Musical AI
<https://www.uio.no/ritmo/english/news-and-events/events/workshops/2022/embodied-ai/index.html>–
workshop below.
*
*Call for Participation*
*
We are now welcoming submissions for the workshop Embodied Perspectives
on Musical AI that will take place in a hybrid format at the University
of Oslo, Norway, on 21-22 November 2022.
Submission deadline: September 1, 2022, Anywhere on earth (AoE)
Embodiment, or, more concretely, musical embodiment, denotes how the
body shapes our musical experiences. For example, you may exert more or
less effort depending on the uncertainty of some musical situations or
while playing technically challenging tasks. Such varying levels of
effort during a live performance can lead to particular affective states
resulting in bodily arousals. Or, you can also use your body
functionally, such as full-body swaying to facilitate keeping the groove
or nodding your head to signal your bandmate to return to the tune’s
main melody. From an enactive perspective, our perception is shaped by
our actions. As such, cognition emerges not just through information
processing but mainly from the dynamic interaction between the agent and
the environment. All in all, we experience the music with our body,
using more modalities than hearing, regardless if we perform or listen
to it.
Most musical artificial intelligence (AI) and multi-agent systems (MAS)
focus on the music information found in the auditory domain. Modeling
instrumental acoustics, synthesizing raw audio, or generating symbolic
music data are highly complex tasks that AI can already accomplish to
some extent. Still, it is unclear how these technologies can collaborate
with musicking humans. How will machines perceive humans as diverse
embodied entities, and how will humans communicate with machines
exploiting multiple modalities? How can embodiment theories contribute
to creating intelligent musical agents? At large, how will we make music
with AI in the future? The interaction and artistic contexts,
perceptual-motor constraints, affective states, environmental features,
sensing devices, and computational systems are just a few that can come
into play in an attempt to answer such questions.
An interdisciplinary research model encompassing natural sciences,
humanities, cognition, and performing arts is often necessary to
understand conventional forms of musical collaboration and create novel
music technologies. Thus, in this two-day workshop, we will convene a
group of scholars, artists, and engineers from diverse disciplines to
emphasize embodied perspectiveson musical human-AI interactions.
Together we will explore theories and practices in this intriguing
domain and discuss musical AI's past, present, and future through the
lenses of embodied cognition.
Submissions
The two-day workshop will consist of thematic sessions in addition to
two keynote lectures and one evening performance. We invite submissions
for the thematic sessions. The aim is to encourage dialogue so that
presenters will give short 10-minute presentations followed by a panel
discussion. The proposals can include demos, completed projects,
works-in-progress, and provocations. We solicit anything of relevance to
the topic of Embodied Perspectives on Musical AI. Short proposal texts
(200-300 words) can be submitted at:https://nettskjema.no/a/emai
<https://nettskjema.no/a/emai>.
Organizers
RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion,
University of Oslo
Interaction and Robotics Lab (Çağrı Erdem, Sayed Mojtaba Karbasi,
Riccardo Simionato, Alexander Refsum Jensenius)
*
Çağrı Erdem [he/him]
Doctoral Research Fellow
RITMO Centre for Interdisciplinary Studies in Rhythm, Time, and Motion
University of Oslo
https://people.uio.no/cagrie
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