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A Study of the State of the Art in Synthetic Emotional Intelligence in Affective Computing
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Author(s): Syeda Erfana Zohora (Taif University, Saudi Arabia), A. M. Khan (Mangalore University, India), Arvind K. Srivastava (Systron Donner Inertial, USA), Nhu Gia Nguyen (Duy Tan University, Vietnam)and Nilanjan Dey (TechnoIndia College of Technology, India)
Copyright: 2020
Pages: 14
Source title:
Natural Language Processing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-0951-7.ch058
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Abstract
In the last few decades there has been a tremendous amount of research on synthetic emotional intelligence related to affective computing that has significantly advanced from the technological point of view that refers to academic studies, systematic learning and developing knowledge and affective technology to a extensive area of real life time systems coupled with their applications. The objective of this paper is to present a general idea on the area of emotional intelligence in affective computing. The overview of the state of the art in emotional intelligence comprises of basic definitions and terminology, a study of current technological scenario. The paper also proposes research activities with a detailed study of ethical issues, challenges with importance on affective computing. Lastly, we present a broad area of applications such as interactive learning emotional systems, modeling emotional agents with an intention of employing these agents in human computer interactions as well as in education.
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