AIMC Topic: Emotions

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Can GPT-4 provide human-level emotion support? Insights from machine learning-based evaluation framework.

Computers in biology and medicine
The global shortage of mental health services has sparked considerable interest in leveraging generative artificial intelligence (AI) to address psychological health challenges. This study systematically evaluates the emotional support capabilities o...

Multi-modal emotional analysis in customer relation management and enhancing communication through integrated affective computing.

Scientific reports
An important part of customer relationship management (CRM) is being able to read emails for emotional cues; this helps with both communication and keeping customers satisfied. This study aims to improve email emotion identification by creating a sys...

Speech emotion recognition based on a stacked autoencoders optimized by PSO based grass fibrous root optimization.

Scientific reports
Effective speech emotion recognition (SER) poses a significant challenge due to the intricate and subjective nature of human emotions. Recognizing emotional states accurately from speech signals has a broad spectrum of practical applications, such as...

Enhancing online interaction through avatar-based dialogue systems utilizing the approaching movement.

PloS one
The rise in online interactions has introduced multiple challenges, including confusion during virtual meetings and fatigue associated with prolonged video conferencing. To address these issues, this study advocates using computer graphics (CG) avata...

Can your brain signals reveal your romantic emotions?

Computers in biology and medicine
The process of partner selection may result in emotions of romantic attraction when one expresses interest towards a potential partner, and rejection when one receives negative feedback from a potential partner. Previous EEG studies have found distin...

Decoding basic emotional states through integration of an fNIRS-based brain-computer interface with supervised learning algorithms.

PloS one
Automated detection of emotional states through brain-computer interfaces (BCIs) offers significant potential for enhancing user experiences and personalizing services across domains such as mental health, adaptive learning and interactive entertainm...

Emotion recognition in EEG Signals: Deep and machine learning approaches, challenges, and future directions.

Computers in biology and medicine
A crucial part of brain-computer interfaces is the use of electroencephalogram (EEG) signals for human emotion identification, which analyzes patterns of brain activity to determine the emotional state. This field of study is becoming increasingly im...

Psychometric Evaluation of Large Language Model Embeddings for Personality Trait Prediction.

Journal of medical Internet research
BACKGROUND: Recent advancements in large language models (LLMs) have generated significant interest in their potential for assessing psychological constructs, particularly personality traits. While prior research has explored LLMs' capabilities in ze...

The application of improved AFCNN model for children's psychological emotion recognition.

Scientific reports
Children's mental health has become an increasingly prominent concern in modern education. However, insufficient attention from schools and families to children's psychological and emotional issues has exacerbated the problem. This study proposes a p...