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Validation of Affect-tag Affective and Cognitive Indicators
The Affect-tag solution measures physiological signals to deliver indicators derived from cognitive science. To provide the most accurate and effective results, a database of electrodermal activity (EDA) signals acquired using the Affect-tag A1 band was created. An experimental paradigm was designed...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141551/ https://www.ncbi.nlm.nih.gov/pubmed/34040510 http://dx.doi.org/10.3389/fninf.2021.535542 |
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author | Sparrow, Laurent Six, Hugo Varona, Lauren Janin, Olivier |
author_facet | Sparrow, Laurent Six, Hugo Varona, Lauren Janin, Olivier |
author_sort | Sparrow, Laurent |
collection | PubMed |
description | The Affect-tag solution measures physiological signals to deliver indicators derived from cognitive science. To provide the most accurate and effective results, a database of electrodermal activity (EDA) signals acquired using the Affect-tag A1 band was created. An experimental paradigm was designed to measure action-taking, autonomic regulation, cognitive load (CL), emotions, and stress, affects, and social stress. The Affect-tag emotional power (EP), emotional density (ED), and CL affective and cognitive indicators were refined based on the physiological responses of 48 participants during these tasks. Statistical significance was obtained for all indicators in tasks they were designed to measure, resulting in a total accuracy score of 89% for the combined indicators. Data obtained during this study will be further analyzed to define emotional and affective states. |
format | Online Article Text |
id | pubmed-8141551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81415512021-05-25 Validation of Affect-tag Affective and Cognitive Indicators Sparrow, Laurent Six, Hugo Varona, Lauren Janin, Olivier Front Neuroinform Neuroscience The Affect-tag solution measures physiological signals to deliver indicators derived from cognitive science. To provide the most accurate and effective results, a database of electrodermal activity (EDA) signals acquired using the Affect-tag A1 band was created. An experimental paradigm was designed to measure action-taking, autonomic regulation, cognitive load (CL), emotions, and stress, affects, and social stress. The Affect-tag emotional power (EP), emotional density (ED), and CL affective and cognitive indicators were refined based on the physiological responses of 48 participants during these tasks. Statistical significance was obtained for all indicators in tasks they were designed to measure, resulting in a total accuracy score of 89% for the combined indicators. Data obtained during this study will be further analyzed to define emotional and affective states. Frontiers Media S.A. 2021-05-10 /pmc/articles/PMC8141551/ /pubmed/34040510 http://dx.doi.org/10.3389/fninf.2021.535542 Text en Copyright © 2021 Sparrow, Six, Varona and Janin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Sparrow, Laurent Six, Hugo Varona, Lauren Janin, Olivier Validation of Affect-tag Affective and Cognitive Indicators |
title | Validation of Affect-tag Affective and Cognitive Indicators |
title_full | Validation of Affect-tag Affective and Cognitive Indicators |
title_fullStr | Validation of Affect-tag Affective and Cognitive Indicators |
title_full_unstemmed | Validation of Affect-tag Affective and Cognitive Indicators |
title_short | Validation of Affect-tag Affective and Cognitive Indicators |
title_sort | validation of affect-tag affective and cognitive indicators |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141551/ https://www.ncbi.nlm.nih.gov/pubmed/34040510 http://dx.doi.org/10.3389/fninf.2021.535542 |
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