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. 2021 May 10:15:535542.
doi: 10.3389/fninf.2021.535542. eCollection 2021.

Validation of Affect-tag Affective and Cognitive Indicators

Laurent Sparrow  1 , Hugo Six  2 , Lauren Varona  2 , Olivier Janin  2
Affiliations

Validation of Affect-tag Affective and Cognitive Indicators

Laurent Sparrow et al. Front Neuroinform. .

Abstract

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.

Keywords: affective computing; bio-signal; cognitive load; electrodermal acitivity; emotional states discrimination; wearable.

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Conflict of interest statement

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.

Figures

Figure 1
Figure 1
Raw EDA signals for a single participant simultaneously measured using BIOPAC and Affect-tag.
Figure 2
Figure 2
Number of participants vs. reaction time intervals during the reaction time tests showing an asymmetric Gaussian distribution.
See this image and copyright information in PMC

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