A conceptual framework for personality modelling in correlation with EEG-based a affect

It is well known that people are naturally different and behave differently even in the given similar situations. Each individual has unique characteristic patterns of personality traits that derive and control his/her behavior. However, someone's behavior can be predicted by assessment his/her...

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Main Authors:	Alarabi, Khamis Faraj, Abdul Rahman, Abdul Wahab, Zulkifli, M. A., Kamaruddin, Norhaslinda
Format:	Article
Language:	English
Published:	2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/62678/ http://irep.iium.edu.my/62678/1/Khamis%20journal.pdf

id	iium-62678
recordtype	eprints
spelling	iium-626782018-07-10T20:02:23Z http://irep.iium.edu.my/62678/ A conceptual framework for personality modelling in correlation with EEG-based a affect Alarabi, Khamis Faraj Abdul Rahman, Abdul Wahab Zulkifli, M. A. Kamaruddin, Norhaslinda QA75 Electronic computers. Computer science It is well known that people are naturally different and behave differently even in the given similar situations. Each individual has unique characteristic patterns of personality traits that derive and control his/her behavior. However, someone's behavior can be predicted by assessment his/her personality. Therefore, personality tests have become increasingly popular in business, education, and medicine as well. The traditional way for measuring someone's personality has been through interviews or self-reported questionnaires. Such measurements depend on human behavior and can be affected by factors such as environment, subjectivity, and cultural biasness. Therefore, this paper introduces a conceptual framework for measuring personality from brain waves which are independent of the intended human behavior. Some studies have reported that behavior is highly influenced by emotions and emotions play a crucial role in causing it. On the other hand, psychologists have reported strong qualitative correlation between personality dimensions and affect dimensions specifically emotional valence and arousal. Studies have also reported that affect dimensions can be measured from brain signals by using emotion recognition systems. The main idea of this framework is to measure personality dimensions using personality test and to measure emotions from brain signals, then quantifying the correlation between personality dimensions and basic emotions primitives. The significant correlation can be then used for predicting personality factors. 2017 Article PeerReviewed application/pdf en http://irep.iium.edu.my/62678/1/Khamis%20journal.pdf Alarabi, Khamis Faraj and Abdul Rahman, Abdul Wahab and Zulkifli, M. A. and Kamaruddin, Norhaslinda (2017) A conceptual framework for personality modelling in correlation with EEG-based a affect. Science International (Lahore), 29 (4). pp. 803-808. ISSN 1013-5316
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Alarabi, Khamis Faraj Abdul Rahman, Abdul Wahab Zulkifli, M. A. Kamaruddin, Norhaslinda A conceptual framework for personality modelling in correlation with EEG-based a affect
description	It is well known that people are naturally different and behave differently even in the given similar situations. Each individual has unique characteristic patterns of personality traits that derive and control his/her behavior. However, someone's behavior can be predicted by assessment his/her personality. Therefore, personality tests have become increasingly popular in business, education, and medicine as well. The traditional way for measuring someone's personality has been through interviews or self-reported questionnaires. Such measurements depend on human behavior and can be affected by factors such as environment, subjectivity, and cultural biasness. Therefore, this paper introduces a conceptual framework for measuring personality from brain waves which are independent of the intended human behavior. Some studies have reported that behavior is highly influenced by emotions and emotions play a crucial role in causing it. On the other hand, psychologists have reported strong qualitative correlation between personality dimensions and affect dimensions specifically emotional valence and arousal. Studies have also reported that affect dimensions can be measured from brain signals by using emotion recognition systems. The main idea of this framework is to measure personality dimensions using personality test and to measure emotions from brain signals, then quantifying the correlation between personality dimensions and basic emotions primitives. The significant correlation can be then used for predicting personality factors.
format	Article
author	Alarabi, Khamis Faraj Abdul Rahman, Abdul Wahab Zulkifli, M. A. Kamaruddin, Norhaslinda
author_facet	Alarabi, Khamis Faraj Abdul Rahman, Abdul Wahab Zulkifli, M. A. Kamaruddin, Norhaslinda
author_sort	Alarabi, Khamis Faraj
title	A conceptual framework for personality modelling in correlation with EEG-based a affect
title_short	A conceptual framework for personality modelling in correlation with EEG-based a affect
title_full	A conceptual framework for personality modelling in correlation with EEG-based a affect
title_fullStr	A conceptual framework for personality modelling in correlation with EEG-based a affect
title_full_unstemmed	A conceptual framework for personality modelling in correlation with EEG-based a affect
title_sort	conceptual framework for personality modelling in correlation with eeg-based a affect
publishDate	2017
url	http://irep.iium.edu.my/62678/ http://irep.iium.edu.my/62678/1/Khamis%20journal.pdf
first_indexed	2023-09-18T21:28:48Z
last_indexed	2023-09-18T21:28:48Z
_version_	1777412372070137856

A conceptual framework for personality modelling in correlation with EEG-based a affect

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