Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Empathy02:34

Empathy

10.0K
Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor. 
10.0K
Multiple Intelligences Theory01:20

Multiple Intelligences Theory

8.7K
Howard Gardner's theory of Multiple Intelligence proposes that there are nine distinct types of intelligence, each reflecting different ways of interacting with the world. Introduced in 1983 and expanded in subsequent years, Gardner's framework challenges the traditional notion of a single, generalized intelligence.
8.7K
Introduction to Motivation and Emotion01:29

Introduction to Motivation and Emotion

1.0K
Motivation is a multifaceted process that drives behavior toward fulfilling various physiological or psychological needs. This process involves initiating, guiding, and maintaining specific actions influenced by internal and external factors. For example, when someone feels hungry while watching television, hunger is a motivator, prompting the individual to get up, walk to the kitchen, and find something to eat. In this instance, hunger initiates and sustains the behavior necessary to meet the...
1.0K
Emotional Expression01:26

Emotional Expression

903
Emotional expression encompasses how individuals convey their emotions through verbal communication and non-verbal cues. These non-verbal actions include facial expressions, body language, and physical gestures, such as frowning or smiling. Among these, facial expressions play a crucial role in emotional expression and are understood universally, indicating a biological basis for how humans communicate emotions.
Universal Facial Expressions
Psychologist Paul Ekman identified seven basic...
903
Introspection01:29

Introspection

194
Introspection, long upheld as a reliable route to self-knowledge, involves examining one's thoughts, emotions, and mental processes. It underpins many psychological practices, from mindfulness meditation to psychotherapy and self-help strategies. However, empirical evidence challenges the accuracy of introspection as a means of understanding oneself.Limitations of Introspective InsightSeminal work by Nisbett and Wilson demonstrated that individuals are frequently unaware of the true causes...
194
Role of Emotions in Social Life01:01

Role of Emotions in Social Life

324
Emotions play a fundamental role in shaping human experience and interactions. The absence of emotions would render life incomplete and fail to capture the essence of human nature. In social psychology, feelings and moods have been extensively studied due to their profound impact on social life and interpersonal relationships. These affective states influence decision-making, behavior, and social perceptions, making them integral to understanding human interactions.Emotions and Social...
324

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A methodological assessment of information complementarity between MRI and GAN-based synthetic PET for multimodal medical image analysis.

Scientific reports·2026
Same author

YUV-based SVD-VGG hybrid fusion for multimodal MRI-PET image integration.

PloS one·2026
Same author

Multi-class: spectral-spatial temporal pyramid network and multi-class classifier-based cardiovascular disease classification.

Frontiers in physiology·2025
Same author

Hyperparameter tuned deep learning-driven medical image analysis for intracranial hemorrhage detection.

PloS one·2025
Same author

Indigofera aspalathoides protection against 20-methylcholanthrene-induced experimental fibrosarcoma growth after transplantation in rats - role of xenobiotic drug metabolizing enzymes.

Asian Pacific journal of cancer prevention : APJCP·2011
Same author

Inhibitory effects of Indigofera aspalathoides on 20-methylcholanthrene-induced chemical carcinogenesis in rats.

Journal of carcinogenesis·2011
Same journal

A tri-axis optomechanical accelerometer with plasmonic MIM waveguide and structural direction-dependent optical signatures.

Scientific reports·2026
Same journal

Holographic leaky-wave antennas with independently controlled multiple counter-rotating vortex beams.

Scientific reports·2026
Same journal

Differential associations of longitudinal hearing and vision trajectories with dementia and mild cognitive impairment in older adults.

Scientific reports·2026
Same journal

Abdominal obesity and leisure-time sedentary behavior in relation to gastroesophageal reflux disease risk: a prospective cohort study from the UK Biobank.

Scientific reports·2026
Same journal

Effect of nitrogen-rich COF incorporation on the structure and separation performance of polyamide nanofiltration membranes.

Scientific reports·2026
Same journal

Withanolide A inhibits hIAPP aggregation: An In silico, biophysical, and drosophila-based In vivo validation.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Jan 9, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.2K

Empowering emotional intelligence through deep learning techniques.

B V Gokulnath1, Pampana Charmitha2, Pampana Chathurya2

  • 1School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, 522237, India. gokulnath.b@vitap.ac.in.

Scientific Reports
|December 3, 2025
PubMed
Summary
This summary is machine-generated.

An ensemble of deep learning models, including CNNs, BERT, RNNs, and GANs, significantly improves human emotion recognition and adaptive responses compared to single models. This multimodal approach enhances AI empathy for various applications.

Keywords:
Bidirectional Encoder Representations from Transformers (BERT)Convolutional Neural Networks (CNN)Deep learningEmotional intelligenceFacial emotion recognitionGenerative Adversarial Networks (GANs)Human–computer interactionMultimodal emotion recognitionRecurrent Neural Networks (RNN)Sentiment analysis

Related Experiment Videos

Last Updated: Jan 9, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.2K

Area of Science:

  • Artificial Intelligence
  • Cognitive Science
  • Human-Computer Interaction

Background:

  • Current AI systems often struggle with nuanced human emotion recognition.
  • Single deep learning models have limitations in capturing the complexity of emotional states.
  • Multimodal approaches are emerging as a promising direction for more sophisticated AI.

Purpose of the Study:

  • To propose and evaluate an ensemble of deep learning models for enhanced human emotion recognition and adaptive response.
  • To introduce a multimodal emotional intelligence system integrating various neural network architectures.
  • To demonstrate the superiority of a combined model approach over single models.

Main Methods:

  • Developed a multimodal system blending Convolutional Neural Networks (CNNs) for facial emotion detection, Bidirectional Encoder Representations from Transformers (BERT) for text sentiment analysis, Recurrent Neural Networks (RNNs) for temporal emotion tracking, and Generative Adversarial Networks (GANs) for content generation.
  • Utilized TensorFlow, Keras, and PyTorch frameworks for model development.
  • Trained models on Kaggle datasets, including FER-2013 for facial expressions and labeled text data for sentiment analysis.

Main Results:

  • CNNs achieved approximately 80% accuracy in facial emotion recognition.
  • BERT demonstrated about 92% accuracy in text sentiment analysis.
  • RNNs reached around 89% accuracy for sequential emotion tracking.
  • GANs generated personalized, age-related content deemed contextually appropriate in over 90% of cases.

Conclusions:

  • An ensemble of deep learning models offers superior accuracy and adaptability in emotional intelligence compared to single-model approaches.
  • The proposed multimodal framework provides a robust solution for recognizing and responding to human emotions.
  • This technology has potential applications in healthcare, customer service, education, and digital well-being to foster more empathetic AI.