Validation of Affect-tag Affective and Cognitive Indicators.
affective computing
bio-signal
cognitive load
electrodermal acitivity
emotional states discrimination
wearable
Journal
Frontiers in neuroinformatics
ISSN: 1662-5196
Titre abrégé: Front Neuroinform
Pays: Switzerland
ID NLM: 101477957
Informations de publication
Date de publication:
2021
2021
Historique:
received:
13
03
2020
accepted:
14
04
2021
entrez:
27
5
2021
pubmed:
28
5
2021
medline:
28
5
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34040510
doi: 10.3389/fninf.2021.535542
pmc: PMC8141551
doi:
Types de publication
Journal Article
Langues
eng
Pagination
535542Informations de copyright
Copyright © 2021 Sparrow, Six, Varona and Janin.
Déclaration de conflit d'intérêts
HS, LV and OJ were employed by the company NEOTROPE. The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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