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

Self-Presentation: Self-Monitoring and Self-Handicapping02:05

Self-Presentation: Self-Monitoring and Self-Handicapping

43.4K
People can go to great lengths to protect their self-image and present themselves in ways that they want others to see them. Sociologist Erving Goffman presented the idea that a person is like an actor on a stage. Calling his theory dramaturgy, Goffman believed that we use “impression management” to present ourselves to others as we hope to be perceived. Each situation is a new scene, and individuals perform different roles depending on who is present (Goffman, 1959). Think about...
43.4K
Self-Presentation01:25

Self-Presentation

262
Self-presentation is a fundamental aspect of social interaction, shaping both how others perceive individuals and how they view themselves. This dynamic process influences behaviors in various social settings, often leading people to adjust their appearance, speech, and demeanor to align with their desired identity. While self-presentation can be deliberate or unconscious, it plays a critical role in interpersonal relationships and self-perception.Forms of Self-PresentationSelf-presentation can...
262
Self-Report Tests of Personality01:22

Self-Report Tests of Personality

731
Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
731
Personal Identity01:25

Personal Identity

277
Personal identity is the deeply felt sense of self that individuals cultivate over time, intricately woven from intrinsic qualities they consider essential to their existence—qualities such as morality, intelligence, and friendliness. These attributes serve as vital internal benchmarks, guiding individuals in evaluating whether their actions resonate with their true selves.When personal identity takes center stage in one's life, individuals often emphasize their distinctiveness,...
277
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.7K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.7K
The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

The Sense of Self: Reflected Self-Appraisal and Social Comparison

55.3K
According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
55.3K

You might also read

Related Articles

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

Sort by
Same author

Objective sleep efficiency links to cortisol stress recovery via dorsolateral prefrontal-hippocampal regulation.

Psychological medicine·2026
Same author

How Verbal Behavior During Self-Presentation Is Associated With Self-Esteem: A Computational Perspective on Lexical, Syntactic, and Semantic Levels.

Journal of personality·2026
Same author

The role of personal, relational, and collective self-esteem in predicting acute salivary cortisol response and perceived stress.

Applied psychology. Health and well-being·2024
Same author

Childhood emotional neglect predicts empathic accuracy in social inclusion and exclusion contexts.

PsyCh journal·2022
Same author

Facial attractiveness is more associated with individual warmth than with competence: Behavioral and neural evidence.

Social neuroscience·2022
Same author

Neural processing of personal, relational, and collective self-worth reflected individual differences of self-esteem.

Journal of personality·2021

Related Experiment Video

Updated: Jan 7, 2026

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
06:53

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

13.7K

Self-Esteem Assessment Based on Self-Introduction: A Multimodal Approach to Personality Computing.

Xinlei Zang1,2, Juan Yang1,2

  • 1Faculty of Psychology, Southwest University, Chongqing, China.

Assessment
|December 29, 2025
PubMed
Summary

This study developed an automated method for self-esteem evaluation using multimodal analysis of self-introduction videos. The approach shows promise as a low-burden complement to traditional self-report measures.

Keywords:
machine learningmultimodal fusionpersonality computingself-esteem assessment

More Related Videos

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

8.9K
A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
08:33

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

7.4K

Related Experiment Videos

Last Updated: Jan 7, 2026

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
06:53

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

13.7K
Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

8.9K
A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
08:33

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

7.4K

Area of Science:

  • Psychology
  • Computer Science
  • Artificial Intelligence

Background:

  • Self-esteem is a crucial psychological construct.
  • Traditional self-esteem assessment relies on self-report measures like the Rosenberg Self-Esteem Scale (RSES).
  • Automated evaluation methods could offer objective and low-burden alternatives.

Purpose of the Study:

  • To develop and validate a multimodal self-esteem recognition method using self-introduction videos.
  • To achieve automated self-esteem evaluation.
  • To assess the generalizability and validity of the developed method.

Main Methods:

  • Recruited undergraduate students (N=211 and N=63) for two independent samples.
  • Collected 40-second self-introduction videos and RSES scores.
  • Extracted visual, audio, and text features; trained late-fusion multimodal models.

Main Results:

  • The multimodal model achieved an accuracy of 0.447 and Macro-F1 of 0.438 on the primary dataset.
  • The model demonstrated cross-sample generalizability (ACC=0.381, Macro-F1=0.379).
  • The method showed good reliability (κ=0.723, ICC=0.745) and correlated with various psychological measures, offering incremental validity for positive affect.

Conclusions:

  • Multimodal behavioral features from self-introductions can aid automated self-esteem evaluation.
  • This method offers a feasible, low-burden complement to traditional self-report questionnaires.
  • Further research can explore its application in diverse populations and contexts.