Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)

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Affective Computing Research Progress and Its Implications for Education Technology: A Bibliometric Analysis Based on Web of Science via VOSviewer

Authors
Qingbo Jiang1, Yong Huang2, *
1School of Humanities, Jinan University, Zhuhai, 519070, Guangdong, China
2Library of Zhuhai Campus, Jinan University, Zhuhai, 519070, Guangdong, China
*Corresponding author. Email: huangyong@jnu.edu.cn
Corresponding Author
Yong Huang
Available Online 22 September 2023.
DOI
10.2991/978-94-6463-242-2_53How to use a DOI?
Keywords
Emotion Recognition; Physiological Signal; Deep Learning; Electroencephalography
Abstract

Affective Computing (AC) is a dynamic and evolving research field. This paper presents a bibliometric analysis of 1428 publications related to affective computing, extracted from the Web of Science database, using the VOSviewer software. Through an examination of the existing literature, the study investigates the quantity of AC publications, research countries, important institutions, and leading authors. Co-citation analysis reveals that IEEE Transactions on Affective Computing is the most influential source of literature. Keyword co-occurrence and clustering analysis identify five main research directions in AC: emotion recognition, physiological signal, human-computer interaction, deep learning, and electroencephalography. Lastly, the paper provides relevant recommendations for AC research in educational technology, focusing on personalized learning experiences, affective feedback, emotion recognition, and affective robots.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
22 September 2023
ISBN
10.2991/978-94-6463-242-2_53
ISSN
2589-4900
DOI
10.2991/978-94-6463-242-2_53How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Qingbo Jiang
AU  - Yong Huang
PY  - 2023
DA  - 2023/09/22
TI  - Affective Computing Research Progress and Its Implications for Education Technology: A Bibliometric Analysis Based on Web of Science via VOSviewer
BT  - Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)
PB  - Atlantis Press
SP  - 425
EP  - 437
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-242-2_53
DO  - 10.2991/978-94-6463-242-2_53
ID  - Jiang2023
ER  -