Insights into the Emotion Classification of Artificial Intelligence: Evolution, Application, and Obstacles of Emotion Classification
Year: 2025
Type: conference-paper
Study design: Systematic Review
Abstract: In this systematic literature review, we examined the integration of emotional intelligence into artificial intelligence (AI) systems, focusing on advancements, challenges, and opportunities in emotion classification technologies. Accurate emotion recognition in AI holds immense potential in healthcare, the IoT, and education. However, challenges such as computational demands, limited dataset diversity, and real-time deployment complexity remain significant. In this review, we included research on emerging solutions like multimodal data processing, attention mechanisms, and real-time emotion tracking to address these issues. By overcoming these issues, AI systems enhance human–AI interactions and expand real-world applications. Recommendations for improving accuracy and scalability in emotion-aware AI are provided based on the review results.
Institution: Universitas Amikom Yogyakarta
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4413993933