A Study of the State of the Art in Synthetic Emotional Intelligence in Affective Computing

Syeda Erfana Zohora, A. M. Khan, A. K. Srivastava, G. Nguyen, N. Dey
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引用次数: 5

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.
情感计算中合成情绪智能的研究现状
在过去的几十年里,与情感计算相关的合成情商研究已经有了大量的研究,从技术的角度来看,这是指学术研究,系统学习和发展知识和情感技术到现实生活时间系统及其应用的广泛领域。本文的目的是介绍情感计算中情绪智力领域的一般想法。本课程概述了情商的发展现状,包括基本定义和术语,以及对当前技术情景的研究。本文还提出了研究活动,详细研究伦理问题,挑战与情感计算的重要性。最后,我们提出了一个广泛的应用领域,如交互式学习情感系统,建模情感代理,并打算在人机交互和教育中使用这些代理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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