Literature DB >> 26736593

Mental workload estimations in unilateral deafened children.

Giulia Cartocci, Anton Giulio Maglione, Giovanni Vecchiato, Gianluca Di Flumeri, Alfredo Colosimo, Alessandro Scorpecci, Pasquale Marsella, Sara Giannantonio, Paolo Malerba, Gianluca Borghini, Pietro Arico, Fabio Babiloni.   

Abstract

Despite of technological innovations, noisy environments still constitute a challenging and stressful situation for words recognition by hearing impaired subjects. The evaluation of the mental workload imposed by the noisy environments for the recognition of the words in prelingually deaf children is then of paramount importance since it could affect the speed of the learning process during scholar period.The aim of the present study was to investigate different electroencephalographic (EEG) power spectral density (PSD) components (in theta 4-8 Hz - and alpha - 8-12 Hz - frequency bands) to estimate the mental workload index in different noise conditions during a word recognition task in prelingually deaf children, a population not yet investigated in relation to the workload index during auditory tasks. A pilot study involving a small group of prelingually deaf children was then subjected to EEG recordings during an auditory task composed by a listening and a successive recognition of words with different noise conditions. Results showed that in the pre-word listening phase frontal EEG PSD in theta band and the ratio of the frontal EEG PSD in theta band and the parietal EEG PSD in alpha band (workload index; IWL) reported highest values in the most demanding noise condition. In addition, in the phase preceding the word forced-choice task the highest parietal EEG PSD in alpha band and IWL values were reported at the presumably simplest condition (noise emitted in correspondence of the subject's deaf ear). These results could suggest the prominence of EEG PSD theta component activity in the pre-word listening phase. In addition, a more challenging noise situation in the pre-choice phase would be so "over-demanding" to fail to enhance both the alpha power and the IWL in comparison to the already demanding "simple" condition.

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Year:  2015        PMID: 26736593     DOI: 10.1109/EMBC.2015.7318693

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  11 in total

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Review 2.  Consumer Behaviour through the Eyes of Neurophysiological Measures: State-of-the-Art and Future Trends.

Authors:  Patrizia Cherubino; Ana C Martinez-Levy; Myriam Caratù; Giulia Cartocci; Gianluca Di Flumeri; Enrica Modica; Dario Rossi; Marco Mancini; Arianna Trettel
Journal:  Comput Intell Neurosci       Date:  2019-09-18

3.  A New Perspective for the Training Assessment: Machine Learning-Based Neurometric for Augmented User's Evaluation.

Authors:  Gianluca Borghini; Pietro Aricò; Gianluca Di Flumeri; Nicolina Sciaraffa; Alfredo Colosimo; Maria-Trinidad Herrero; Anastasios Bezerianos; Nitish V Thakor; Fabio Babiloni
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4.  Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements.

Authors:  Giulia Cartocci; Myriam Caratù; Enrica Modica; Anton Giulio Maglione; Dario Rossi; Patrizia Cherubino; Fabio Babiloni
Journal:  J Vis Exp       Date:  2017-08-28       Impact factor: 1.355

5.  Neurophysiological Profile of Antismoking Campaigns.

Authors:  Enrica Modica; Dario Rossi; Giulia Cartocci; Davide Perrotta; Paolo Di Feo; Marco Mancini; Pietro Aricò; Bianca M S Inguscio; Fabio Babiloni
Journal:  Comput Intell Neurosci       Date:  2018-09-19

6.  Neurophysiological Measures of the Perception of Antismoking Public Service Announcements Among Young Population.

Authors:  Giulia Cartocci; Enrica Modica; Dario Rossi; Patrizia Cherubino; Anton Giulio Maglione; Alfredo Colosimo; Arianna Trettel; Marco Mancini; Fabio Babiloni
Journal:  Front Hum Neurosci       Date:  2018-08-29       Impact factor: 3.169

7.  NeuroDante: Poetry Mentally Engages More Experts but Moves More Non-Experts, and for Both the Cerebral Approach Tendency Goes Hand in Hand with the Cerebral Effort.

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Journal:  Brain Sci       Date:  2021-02-25

8.  Wearable Technologies for Mental Workload, Stress, and Emotional State Assessment during Working-Like Tasks: A Comparison with Laboratory Technologies.

Authors:  Andrea Giorgi; Vincenzo Ronca; Alessia Vozzi; Nicolina Sciaraffa; Antonello di Florio; Luca Tamborra; Ilaria Simonetti; Pietro Aricò; Gianluca Di Flumeri; Dario Rossi; Gianluca Borghini
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9.  Gender and Age Related Effects While Watching TV Advertisements: An EEG Study.

Authors:  Giulia Cartocci; Patrizia Cherubino; Dario Rossi; Enrica Modica; Anton Giulio Maglione; Gianluca di Flumeri; Fabio Babiloni
Journal:  Comput Intell Neurosci       Date:  2016-05-26

10.  Brain-Computer Interfaces: Toward a Daily Life Employment.

Authors:  Pietro Aricò; Nicolina Sciaraffa; Fabio Babiloni
Journal:  Brain Sci       Date:  2020-03-09
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