Multisensory-Learning-Environments: artificial intelligence for the domotisation and replication of lights and sounds that foster the state of Flow

Autori

  • Arianna Cittadini Università Telematica Pegaso
  • Claudia Chierichetti Niccolò Cusano University
  • Luna Lembo Niccolò Cusano University
  • Stefania Morsanuto Pegaso University

DOI:

https://doi.org/10.32043/jimtlt.v3i4.115

Parole chiave:

Evoluzione digitale, ; Potenziamento; Cognizione

Abstract

This contribution aims to create a potential synergy among human, artificial intelligence, and the environment. The objective is to leverage the home automation of multisensory environments through the use of artificial intelligence software, in order to provide a multisensory learning context characterized by customization and calibration in delivering specific stimuli, particularly luminous and auditory stimuli. These stimuli aim to enable the individual to undergo a neurosensory experience that facilitates the achievement of the Flow state. The results related to the physiological activation state, attention levels, and brain activation of the individual, emerging from each experience, will be an integral part of the AI (Artificial Intelligence) software training. This is intended to obtain personalized and calibrated intervention protocols, tailored to the specificity of the users on each occasion.

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Pubblicato

2024-02-27

Come citare

Cittadini, A., Chierichetti, C., Lembo, L., & Morsanuto, S. (2024). Multisensory-Learning-Environments: artificial intelligence for the domotisation and replication of lights and sounds that foster the state of Flow. Journal of Inclusive Methodology and Technology in Learning and Teaching, 3(4). https://doi.org/10.32043/jimtlt.v3i4.115