Citation

Mohd Yamin, Muhammad Nadzree and Ab. Aziz, Kamarulzaman and Tan, Gek Siang and Ab Aziz, Nor Azlina (2023) A Systematic Literature Review on Emotion Recognition System In Malaysia. In: 28th International Conference on Artificial Life and Robotics, ICAROB 2023, 9-12 Feb 2023, Oita, Japan.

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Abstract

Artificial intelligence (AI) is an important technology that evolved from theories into tangibility with significant impacts and applications across sectors as well as borders. It is also one of the key technologies that gave rise to the fourth industrial revolution (IR 4.0). One key subcategory of AI is the automated emotion recognition system (ERS); the application of AI to recognize human emotional states. ERS is seen as an embedded technology that can be used in our daily lives and environment including the workplace. The importance of ERS will become more significant as we move towards the fifth industrial revolution (IR 5.0), where one of the key aspects identified is the enhancements in human-computer interaction (HCI). ERS has the potential to enable smart HCI, i.e. ERS can be seen as a technology to bridge us from IR 4.0 into IR 5.0. Crucial for this is good adoption or diffusion levels of ERS amongst society. Therefore, there is a need to understand the factors that affect the adoption of ERS. Specifically, this paper seeks to establish and discuss the current ERS research landscape in Malaysia by reporting findings from the systematic literature review covering works over a decade; from the year 2011 to 2022

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Emotion recognition system (ERS), Artificial intelligence (AI), Affective computing (AC), The fourth industrial revolutionR1 (IR 4.0), The fifth industrial revolution (IR 5.0), Technology adoption
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA329-348 Engineering mathematics. Engineering analysis
Divisions:	Faculty of Business (FOB) Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	07 Apr 2023 02:09
Last Modified:	07 Apr 2023 02:09
URII:	http://shdl.mmu.edu.my/id/eprint/11300

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