4.5 Article

Validation of Affect-tag Affective and Cognitive Indicators

期刊

FRONTIERS IN NEUROINFORMATICS
卷 15, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fninf.2021.535542

关键词

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

资金

  1. Neotrope
  2. Programme d'Investissements d'Avenir [ANR-11-EQPX-0023, FEDER SCV-IRDIVE]

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The study utilizes physiological signals and a created database to provide a range of emotional and cognitive indicators for the Affect-tag solution. Through experimental design and participants' physiological responses, all indicators achieved statistical significance in their respective tasks, with a combined accuracy rate of 89%.
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.

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