Exploring Artificial Intelligence for Advancing Performance Processes and Events in Io3MT

Romulo Vieira*, Debora Muchaluat-Saade, Pablo Cesar

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review


The Internet of Multisensory, Multimedia and Musical Things (Io3MT) is a new concept that arises from the confluence of several areas of computer science, arts, and humanities, with the objective of grouping in a single place devices and data that explore the five human senses, besides multimedia aspects and music content. In the context of this brave new idea paper, we advance the proposition of a theoretical alignment between the emerging domain in question and the field of Artificial Intelligence (AI). The main goal of this endeavor is to tentatively delineate the inceptive trends and conceivable consequences stemming from the fusion of these domains within the sphere of artistic presentations. Our comprehensive analysis spans a spectrum of dimensions, encompassing the automated generation of multimedia content, the real-time extraction of sensory effects, and post-performance analytical strategies. In this manner, artists are equipped with quantitative metrics that can be employed to enhance future artistic performances. We assert that this cooperative amalgamation has the potential to serve as a conduit for optimizing the creative capabilities of stakeholders.

Original languageEnglish
Title of host publicationMultiMedia Modeling - 30th International Conference, MMM 2024, Proceedings
EditorsStevan Rudinac, Marcel Worring, Cynthia Liem, Alan Hanjalic, Björn Pór Jónsson, Yoko Yamakata, Bei Liu
Place of PublicationCham
Number of pages15
ISBN (Electronic)978-3-031-53302-0
ISBN (Print)978-3-031-53301-3
Publication statusPublished - 2024
Event30th International Conference on MultiMedia Modeling, MMM 2024 - Amsterdam, Netherlands
Duration: 29 Jan 20242 Feb 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14557 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference30th International Conference on MultiMedia Modeling, MMM 2024

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Artificial Intelligence
  • Internet of Multisensory
  • Multimedia and Musical Things
  • Networked Performances


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