Emotion recognition system towards sustainability development

Muhammad Nadzree Mohd Yamin (), Kamarulzaman Ab. Aziz (), Tan Gek Siang () and Nor Azlina Ab. Aziz ()

International Journal of Innovative Research and Scientific Studies, 2025, vol. 8, issue 6, 3222-3235

Abstract: Artificial Intelligence (AI), a transformative innovation in the past two decades, is reshaping industries and societies. Emotion Recognition System (ERS), a subset of AI, enables machines and robots to discern human emotions. As more AI solutions incorporate ERS, it has led to the establishment of Emotion AI as a promising development enhancing human-computer interaction (HCI) which is a key feature of Industrial Revolution 5.0. Many researchers suggested that Emotion AI will lead to many potential innovative solutions that can be applied in various sectors. Through Emotion AI we would gain the ability to have better awareness, empathy and emotional intelligence, leading to better engagement. Thus, sustainability practitioners utilising Emotion AI can affect better engagement for their initiatives and realise the desired impact. Since ERS engineers, practitioners and developers are expanding the used of ERS and emotion AI to be part of every individuals lives, therefore, there is a need to understand the perspective of the potential users in adopting ERS and being ready for ERS. This research provides insights into individuals' readiness to integrate ERS into their lives. Specifically, this study examines Malaysian youths' readiness and adoption of ERS. With a sample of 177 respondents using PLS-SEM, the study identifies Attitude, Subjective Norms, Perceived Behavioral Control, Facilitating Conditions and Awareness as determinants of ERS adoption. Furthermore, Technology Aptitude moderates the relationship between the determinants and ERS adoption intention. The findings can help future researchers develop more accurate and impactful ERS technologies that can affect better achievement of sustainability goals.

Keywords: Artificial intelligence; Emotion recognition system; Human-computer interaction; Sustainability; Technology adoption. (search for similar items in EconPapers)
Date: 2025
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