EEG-based emotion recognition in the investment activities

Mat Razi, Nurul Izzati and Othman, Marini and Yaacob, Hamwira Sakti (2016) EEG-based emotion recognition in the investment activities. In: 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M 2016), 22nd-24th Nov. 2016, Jakarta, Indonesia.

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Abstract

Emotion plays a significant role during a decision making process and greatly influence investor's behavior. This paper investigates investors' emotional perception and exemplify how these emotions may affect their judgement in investment activities. In our experiments, the participants' emotion were derived from electroencephalogram (EEG) while they were trading in the stock market. A negative emotion can reduce the rationality of the investor in decision making and lead them to lose money. However, positive emotion can help them to minimize the risk of negative consequences. Based on the EEG-based emotion recognition, this paper presents the result of an investor that was influenced by their emotion and behaviors while making an investment decisions.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	4573/54150
Uncontrolled Keywords:	Electroencephalography (EEG); neuro-finance; emotion recognition; decision making
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK452 Electric apparatus and materials. Electric circuits. Electric networks
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	MARINI OTHMAN
Date Deposited:	10 Mar 2017 12:06
Last Modified:	10 Mar 2017 12:08
URI:	http://irep.iium.edu.my/id/eprint/54150

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