Emotion Recognition System Adoption: A Proposed Framework

Muhammad Nadzree Mohd Yamin, Kamarulzaman Ab. Aziz (), Tan Gek Siang and Nor Azlina Ab. Aziz
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Muhammad Nadzree Mohd Yamin: Multimedia University, Faculty of Management
Kamarulzaman Ab. Aziz: Multimedia University, Faculty of Business
Tan Gek Siang: Multimedia University, Faculty of Business
Nor Azlina Ab. Aziz: Multimedia University, Faculty of Engineering and Technology

A chapter in Proceedings of the International Conference on Technology and Innovation Management (ICTIM 2022), 2022, pp 187-198 from Springer

Abstract: Abstract An emotion recognition system or ERS is an emerging technology due to its potential use in various platforms, applications and sectors. ERS is a key technology arising from the fourth industrial revolution (IR 4.0) and arguably it is becoming a key technology in enabling the fifth industrial revolution (IR 5.0). This is so because IR 5.0 main feature is personalization. The body of knowledge on ERS consists largely of works on exploring the modalities or modes to recognise or determine emotion; the development of the system itself; and the creation of applications utilising the emotion recognition functions. However, to enable the researchers and innovators to develop better and more impactful ERS, they need to understand the factors shaping usage and determining adoption amongst the intended users. This particular aspect relating to ERS is not yet fully explored and understood. Plus, there is yet to be a definitive framework or model on determinants for ERS adoption. This research intends to address this important need. Specifically, this study will look into the key adopters that will be using ERS, and propose a conceptual framework for ERS adoption. The theories underpinning the proposed conceptual framework are the Theory of Planned Behaviour (TPB), Unified Theory of Acceptance and Use of Technology (UTAUT) and Diffusion of Innovations (DOI). It is envisioned that this research will; confirm the validity of the proposed framework and generate new findings that will benefit ERS practitioners as well as adopters.

Keywords: Emotion recognition system (ERS); artificial intelligence (AI); affective computing (AC); adoption; acceptance; Malaysia (search for similar items in EconPapers)
Date: 2022
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DOI: 10.2991/978-94-6463-080-0_16

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