IDEAS home Printed from https://ideas.repec.org/a/igg/jse000/v7y2016i1p1-12.html
   My bibliography  Save this article

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

Author

Listed:
  • Syeda Erfana Zohora

    (Taif University, Taif, Saudi Arabia)

  • A. M. Khan

    (Mangalore University, Magalore, India)

  • Arvind K. Srivastava

    (Systron Donner Inertial, Concord, CA, USA)

  • Nhu Gia Nguyen

    (Duy Tan University, Da Nang, Vietnam)

  • Nilanjan Dey

    (TechnoIndia College of Technology, Kolkata, India)

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.

Suggested Citation

  • Syeda Erfana Zohora & A. M. Khan & Arvind K. Srivastava & Nhu Gia Nguyen & Nilanjan Dey, 2016. "A Study of the State of the Art in Synthetic Emotional Intelligence in Affective Computing," International Journal of Synthetic Emotions (IJSE), IGI Global, vol. 7(1), pages 1-12, January.
    • Handle: RePEc:igg:jse000:v:7:y:2016:i:1:p:1-12
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSE.2016010101
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jse000:v:7:y:2016:i:1:p:1-12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.