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A non-Invasive Approach to Extract the User’s Patterns of Visual Arts Exploration through Wearable Technologies Application: the NEFFIE Project

Authors:
Diana Trojaniello
Matteo Zardin
Marco Mura
Alberto Sanna

Keywords: visual art; wearable; fMRI; artificial intelligence; machine learning

Abstract:
Understanding human cognitive perception processes during visual art fruition represents both a neuroscientific and technological challenge. By addressing the cognitive processes behind the art appreciation and by employing the last generation technologies to analyze human bio signals, the NEFFIE project aims to propose a new approach to emphasize the visual art fruition experience while increasing the awareness of what we actually see. The project consists of four different experimental phases, including both In-Lab and Out-Lab evaluations: I) In-Lab images rating; II) In-Lab functional Magnetic Resonance Imaging fMRI -based study; III) In-Lab Wearable-based study; IV) Out-Lab Wearable-based study. Through these experimental steps, the NEFFIE project will develop a unique platform based on Artificial Intelligence human-centric algorithms to identify each person’s unique fingerprint of visual art perception and discovery. The current idea-paper aims to describe the above-mentioned experimental phases.

Pages: 53 to 54

Copyright: Copyright (c) IARIA, 2020

Publication date: February 23, 2020

Published in: conference

ISSN: 2308-4448

ISBN: 978-1-61208-772-6

Location: Lisbon, Portugal

Dates: from February 23, 2020 to February 27, 2020