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Multi-modal Virtual Scenario Enhances Neurofeedback Learning

Cohen, Avihay, Keynan, Jackob Nimrod, Jackont, Gilan, Green, Nili, Rashap, Iris, Shany, Ofir, Charles, Fred, Cavazza, Marc, Hendler, Talma, Raz, Gal and others. (2016) Multi-modal Virtual Scenario Enhances Neurofeedback Learning. Frontiers in Robotics and AI, 3 . p. 52. ISSN 2296-9144. E-ISSN 2296-9144. (doi:10.3389/frobt.2016.00052) (KAR id:57238)

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https://doi.org/10.3389/frobt.2016.00052

Abstract

In the past decade neurofeedback (NF) has become the focus of a growing body of

monitoring of emotion-related areas, such as the amygdala, many have begun testing

interfaces, thus possibly limiting user engagement and weakening learning efficiency.

at enhancing user experience and improving learning. We examined whether relative to

scenario will result in improved NF learning. As a neural-probe, we used the recently

amygdala-EFP), enabling low-cost and mobile limbic NF training. Amygdala-EFP was

become impatient, approach the admission desk and complain loudly. Successful

relative to a standard uni-modal 2D graphic thermometer (TM) interface, this AS could

underwent two separated NF sessions (1 week apart) practicing downregulation of

interface. Learning efficiency was tested by three parameters: (a) effect size of the

in the absence of online feedback, and (c) transferability to an unfamiliar context.

revealed that the AS produced a higher effect size. In addition, NF via the AS showed

better transferability to a new unfamiliar interface. Lastly, participants reported that

demonstrate the promising potential of integrating realistic virtual environments in NF

to enhance learning and improve user’s experience.

Item Type: Article
DOI/Identification number: 10.3389/frobt.2016.00052
Uncontrolled keywords: EEG–fMRI integration, EEG-neurofeedback, fMRI-neurofeedback, real-time fMRI, amygdala, emotion regulation, User Interface, Virtual Reality
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.575 Multimedia systems
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.9.H85 Human computer interaction
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: Marc Cavazza
Date Deposited: 12 Sep 2016 14:48 UTC
Last Modified: 01 Aug 2019 10:40 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/57238 (The current URI for this page, for reference purposes)
Cavazza, Marc: https://orcid.org/0000-0001-6113-9696
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