A Systematic Literature Review of Machine Learning-Based Personality Trait Detection Using Electroencephalographic Data

Traditional self-report personality assessments, such as detecting Big Five personality traits through the NEO-Five-Factor-Inventory, are personnel-, time- and cost-intensive approaches that are prone to bias, whereas electroencephalography provides a biometric alternative by capturing neural correl...

Volledige beschrijving

Bibliografische gegevens

Hoofdauteurs:	Celina Rieck, Pascal Penava, Ricardo Buettner
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2025-01-01
Reeks:	IEEE Access
Onderwerpen:	Big five OCEAN personality traits physiological signals electroencephalography machine learning
Online toegang:	https://ieeexplore.ieee.org/document/11071699/
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!