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...

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Bibliografische Detailangaben

Hauptverfasser:	Celina Rieck, Pascal Penava, Ricardo Buettner
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Big five OCEAN personality traits physiological signals electroencephalography machine learning
Online-Zugang:	https://ieeexplore.ieee.org/document/11071699/
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