Muhammad Nadzree Mohd Yamin¹, Kamarulzaman Ab. Aziz¹, Tan Gek Siang¹, Nor Azlina Ab. Aziz^2
1Faculty of Business, Multimedia University, Jalan Ayer Keroh Lama, 75450 Bukit Beruang, Melaka
²Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450 Bukit Beruang, Melaka
pp. 193–204
ABSTRACT
Artificial intelligence (AI) has revolutionized the way we interact with technology, and one of its key subcategories is the automated emotion recognition system (ERS). ERS is a technology that enables AI to recognize human emotional states, and it has the potential to transform human-computer interaction (HCI) as we move towards the fifth industrial revolution (IR 5.0). ERS has significant implications for various sectors, including healthcare, education, and the workplace. For example, in healthcare, ERS can be used to identify and treat mental health disorders, while in the workplace, it can be used to monitor employee well-being and improve productivity. However, the adoption of ERS is crucial for its success, and there is a need to understand the factors that affect its adoption. This paper aims to explore the landscape of ERS adoption in Malaysia by conducting a systematic literature review of studies published over the past decade between 2011 and 2022. The review will focus on understanding the current levels of adoption of ERS in Malaysia, identifying the factors that hinder or facilitate its adoption, and discussing the potential benefits and drawbacks of using ERS in different contexts. The findings of this review will provide insights into the current ERS research landscape in Malaysia and inform future research on the adoption and use of ERS in the country.

ARTICLE INFO
Article History
Received 17 November 2022
Accepted 01 June 2023

Keywords
Emotion recognition system (ERS)
Artificial intelligence (AI)
Affective computing (AC)s
The fourth industrial revolution (IR 4.0)
The fifth industrial revolution (IR 5.0)
Technology adoption

JAALR3402

Download article(PDF)