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Emotions

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A Mood Semantic Awareness Model for Emotional Interactive Robots.

Sensors (Basel, Switzerland)
The rapid development of natural language processing technology and improvements in computer performance in recent years have resulted in the wide-scale development and adoption of human-machine dialogue systems. In this study, the Icc_dialogue model...

The Role of Coherent Robot Behavior and Embodiment in Emotion Perception and Recognition During Human-Robot Interaction: Experimental Study.

JMIR human factors
BACKGROUND: Social robots are becoming increasingly important as companions in our daily lives. Consequently, humans expect to interact with them using the same mental models applied to human-human interactions, including the use of cospeech gestures...

Developing an ontology of non-pharmacological treatment for emotional and mood disturbances in dementia.

Scientific reports
Emotional and mood disturbances are common in people with dementia. Non-pharmacological interventions are beneficial for managing these disturbances. However, effectively applying these interventions, particularly in the person-centred approach, is a...

Human Digital Twin in Industry 5.0: A Holistic Approach to Worker Safety and Well-Being through Advanced AI and Emotional Analytics.

Sensors (Basel, Switzerland)
This research introduces a conceptual framework designed to enhance worker safety and well-being in industrial environments, such as oil and gas construction plants, by leveraging Human Digital Twin (HDT) cutting-edge technologies and advanced artifi...

Deep learning strategies with CReToNeXt-YOLOv5 for advanced pig face emotion detection.

Scientific reports
This study underscores the paramount importance of facial expressions in pigs, serving as a sophisticated mode of communication to gauge their emotions, physical well-being, and intentions. Given the inherent challenges in deciphering such expression...

Leveraging natural language processing to study emotional coherence in psychotherapy.

Psychotherapy (Chicago, Ill.)
The association between emotional experience and expression, known as emotional coherence, is considered important for individual functioning. Recent advances in natural language processing (NLP) make it possible to automatically recognize verbally e...

An emotion recognition method based on EWT-3D-CNN-BiLSTM-GRU-AT model.

Computers in biology and medicine
This has become a significant study area in recent years because of its use in brain-machine interaction (BMI). The robustness problem of emotion classification is one of the most basic approaches for improving the quality of emotion recognition syst...

In praise of empathic AI.

Trends in cognitive sciences
In this article we investigate the societal implications of empathic artificial intelligence (AI), asking how its seemingly empathic expressions make people feel. We highlight AI's unique ability to simulate empathy without the same biases that affli...

Understanding Naturalistic Facial Expressions with Deep Learning and Multimodal Large Language Models.

Sensors (Basel, Switzerland)
This paper provides a comprehensive overview of affective computing systems for facial expression recognition (FER) research in naturalistic contexts. The first section presents an updated account of user-friendly FER toolboxes incorporating state-of...

Cross-subject emotion recognition using hierarchical feature optimization and support vector machine with multi-kernel collaboration.

Physiological measurement
. Due to individual differences, it is greatly challenging to realize the multiple types of emotion identification across subjects.. In this research, a hierarchical feature optimization method is proposed in order to represent emotional states effec...