Affective Computing: Research Advances and Future Challenges

Emotion, which is an unavoidable part of human beings, is getting hot in cognitive science these years. Affective computing, which is based on the research progress of human intelligence and emotion in psychological science, as a research field composed of many disciplines, has attracted much attention in recent years. There are many research directions and challenges to be solved. At the same time, it also has broad application prospects. As a result, it is particularly difficult for those eager to understand affective computing to get a simple but general understanding quickly. By collecting the research results mainly distributed in the past four years, this paper summarizes the overall research status in this field, including the development status of technology, practical application, and possible ethical issues. The goal of this paper is to provide a basic but comprehensive picture for researchers who are eager to get a preliminary understanding of this field.

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Publication Details

Journal
Applied and Computational Engineering
Published
2025-01-10
DOI
https://doi.org/10.54254/2755-2721/2025.19737
Citations
1
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
2.12
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article

Affective Computing: Research Advances and Future Challenges

Shiyi Shen
1 citations
Applied and Computational Engineering
Emotion and Mood Recognition
2.12
article

Affective Computing: Research Advances and Future Challenges

Shiyi Shen
article en
1 citations

Abstract

Emotion, which is an unavoidable part of human beings, is getting hot in cognitive science these years. Affective computing, which is based on the research progress of human intelligence and emotion in psychological science, as a research field composed of many disciplines, has attracted much attention in recent years. There are many research directions and challenges to be solved. At the same time, it also has broad application prospects. As a result, it is particularly difficult for those eager to understand affective computing to get a simple but general understanding quickly. By collecting the research results mainly distributed in the past four years, this paper summarizes the overall research status in this field, including the development status of technology, practical application, and possible ethical issues. The goal of this paper is to provide a basic but comprehensive picture for researchers who are eager to get a preliminary understanding of this field.

Applied and Computational EngineeringVol. 121(1)
Shanghai University of Engineering Science (CN)
Openalex Percentile: Top 17%
Emotion and Mood Recognition
2.12
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Affective Computing: Research Advances and Future Challenges — Shiyi Shen · Applied and Computational Engineering (2025) | TGRS Research Map | TGRS