26isfam158 10.3205/26isfam158 urn:nbn:de:0183-26isfam1582 Meeting Abstract Vélez Vélez Alex A

784m

author Nguyen Nguyen Giáng Mi GM

784m, Freie Universität Berlin

author Goyret Goyret Juan J

784m

author German Medical Science GMS Publishing House

Düsseldorf

610 20260612 engl This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). M0652 158 International Society for Arts and Medicine The Healing Arts – Forging Alliances of Arts & Medicine Poster Abstracts Berlin 20260618 20260620 26isfam158 TextCulture is currently evolving drastically at a seemingly ever-increasing rate. For Music Therapy, this means facing the challenge of developing frameworks that can continuously produce knowledge to stay updated. Futures Studies then becomes a perfect partner in this mission. As a discipline, it conceptualizes the “future” as a collectively constructed network of signals, rather than reducing it to a singular predictable phenomena. It invites a notion of future as a plural materially involved asset that can support designing processes of more attuned, accessible tools of care.Our work presents three speculative yet operational scenarios produced at 784M, a transdisciplinary lab researching emerging technologies for people with disabilities. Each prototype is designed for professional music therapy and broader practices of care.A wearable, biometric-driven music interface that enables motor compromised users to generate and modulate sound using only physiological signals (e.g., HR, Temperature) for training autonomic regulation. Signals are mapped to musical parameters, enabling real time sound generation to support accessible music making as well as autonomic regulation (e.g., blood pressure, breathing, attention).A communication app for non-verbal users that uses frequency-detection tuning algorithms to map vocalizations to an adaptive semantic database. Over time, it learns individual sound/signal/meaning correspondences, supporting caregiver interpretation and user agency (e.g., yes/no).A biometric-responsive XR environment employing real-time physiological and neural feedback to incentivize brainwave entrainment, supporting homeostasis in individuals with PTSD.This approach highlights how emerging technologies can complement the landscape of musical care rather than reinforce hegemonic extractive data cultures.This approach highlights how emerging technologies can complement the landscape of musical care rather than reinforce hegemonic extractive data cultures. 0 0 0 0