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

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.