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

Emotional Expression01:26

Emotional Expression

376
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...
376
Labeling Emotion01:20

Labeling Emotion

241
Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
241
Cognitive Theories: Lazarus Mediational Theory of Emotion01:17

Cognitive Theories: Lazarus Mediational Theory of Emotion

1.2K
Richard Lazarus' cognitive mediational theory highlights the pivotal role of cognitive appraisal in shaping emotional responses. According to this theory, the evaluation of a stimulus — based on personal values, goals, beliefs, and expectations — mediates the emotional response. This appraisal process is immediate and often occurs unconsciously, influencing the intensity and nature of the resulting emotion.
Cognitive Appraisal and Emotional Response
Lazarus proposed that...
1.2K
Coping Strategies: Emotion Focused01:20

Coping Strategies: Emotion Focused

149
Emotion-focused coping refers to a set of strategies aimed at managing the emotional impact of stressors, rather than directly addressing their causes. This approach involves altering one's emotional response to stressful situations to reduce their psychological effects. For example, individuals might talk with a friend or engage in activities like journaling to express their feelings. Such actions can help achieve emotional clarity or release, providing the psychological stability needed...
149
Empathy02:34

Empathy

9.7K
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. 
9.7K
Cognitive Theories: Schachter-Singer Theory of Emotion01:20

Cognitive Theories: Schachter-Singer Theory of Emotion

598
Stanley Schachter and Jerome Singer proposed the two-factor theory of emotion, which emphasizes the interplay between physiological arousal and cognitive labeling in forming emotional experiences. This theory suggests that emotions are not simply a result of physiological responses but rather a combination of these responses and the individual's cognitive interpretation of them.
Physiological Arousal and Cognitive Labeling
According to this theory, when an individual experiences...
598

You might also read

Related Articles

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

Sort by
Same author

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

Scientific reports·2026
Same author

Scalable quantum non-local neural network optimised with the tyrannosaurus algorithm for brain tumour detection using MRI images.

The International journal of neuroscience·2026
Same author

The Effect of Intracanal Medicaments on the Healing of Apical Periodontitis.

Cureus·2024
Same author

Sore throat, dysuria in a promiscuous male: What is your diagnosis?

Indian journal of sexually transmitted diseases and AIDS·2024
Same author

Chronic extensive warty eruptions on the genital, pubic, crural, and perianal region.

Indian journal of sexually transmitted diseases and AIDS·2024
Same author

Self-inflicted genital ulcer: An intriguing case report.

Indian journal of sexually transmitted diseases and AIDS·2023

Related Experiment Video

Updated: Sep 14, 2025

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

Published on: August 26, 2016

9.6K

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

W Gracy Theresa1, C Pabitha2, K Revathi3

  • 1Department of Artificial Intelligence and Data Science, Panimalar Engineering College, Chennai, India. sunphin14@gmail.com.

Scientific Reports
|July 21, 2025
PubMed
Summary

This study introduces a multi-modal system for analyzing emotions in customer emails, integrating visual, aural, and textual data. The advanced affective computing approach enhances customer relationship management (CRM) through personalized communication strategies.

Keywords:
Affective computingAuditory signalsCRMMulti-modal emotional analysisTextual informationVisual cues

More Related Videos

Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans
04:27

Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans

Published on: March 15, 2019

11.3K
Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

Published on: May 15, 2016

9.1K

Related Experiment Videos

Last Updated: Sep 14, 2025

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

Published on: August 26, 2016

9.6K
Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans
04:27

Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans

Published on: March 15, 2019

11.3K
Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

Published on: May 15, 2016

9.1K

Area of Science:

  • Affective computing
  • Natural Language Processing (NLP)
  • Customer Relationship Management (CRM)

Background:

  • Effective customer relationship management (CRM) relies on understanding customer emotions.
  • Current methods often focus solely on textual analysis, limiting emotional cue detection.

Purpose of the Study:

  • To develop an advanced system for identifying emotional cues in customer emails.
  • To enhance CRM by integrating visual, aural, and textual data for comprehensive emotion analysis.

Main Methods:

  • Utilized Robustly Optimized Bidirectional Encoder Representations from Transformers Approach (RoBERTa) for text and emoji analysis.
  • Employed Convolutional Neural Networks (CNN) for image data and Bidirectional Convolutional Long Short-Term Memory (BiConvLSTM) for video.
  • Integrated Cross-Modal BERT for audio signal processing to capture a wider range of emotional signals.

Main Results:

  • The multi-modal system extracts a broader spectrum of emotional signals compared to text-only analysis.
  • Demonstrated the potential for more insightful analysis of customer email content.

Conclusions:

  • The developed technology offers actionable insights for personalizing customer responses.
  • This research lays the groundwork for multi-modal emotional analysis applications across various customer-facing industries.