Machine learning in emotional intelligence studies: a survey

Dollmat, Khairi Shazwan; Abdullah, Nor Aniza

doi:10.1080/0144929x.2021.1877356

Cited by 8 publications

(3 citation statements)

References 119 publications

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“…Researchers have proposed personalized approaches to emotion and personality assessment, tailoring recommendations and interventions based on individual pro les [97]. Ethical contributions address the responsible use of tools for emotion and personality assessment.…”

Section: Rq3-what Types Of Contributions Have Been Proposed In This R...mentioning

confidence: 99%

Systematic Mapping Study of Tools to Identify Emotions and Personality Traits

Islam,

Noor,

Rahman

2024

Preprint

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Emotions and personality traits profoundly influence human behavior and well-being. Recent advancements in computer-based tools utilizing machine learning techniques have opened new avenues for identifying and understanding these psychological aspects in individuals. This systematic mapping study comprehensively reviews research articles from reputable journals, focusing on tools that leverage various data sources, such as text analysis, face recognition, gestures, and heart rate monitoring. The selected papers underwent rigorous analysis, leading to the categorization of identified tools based on their methodologies, objectives, and application domains. Natural language processing techniques were found to excel in capturing emotions from textual data, while deep learning models demonstrated accuracy in face recognition. Machine learning algorithms showed promise in analyzing gestures and heart rate to understand personality traits and emotional responses. However, the study also highlights the importance of validation standardization and large-scale studies across diverse populations to enhance the reliability and effectiveness of these tools.

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Section: Rq3-what Types Of Contributions Have Been Proposed In This R...mentioning

confidence: 99%

Systematic Mapping Study of Tools to Identify Emotions and Personality Traits

Islam,

Noor,

Rahman

2024

Preprint

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“…Even though it is a recent concept, interest in the concept has grown dramatically ever since. When a person is aware of their own emotions, they may control their emotional responses, manage their social abilities, recognize the feelings of others' emotional states, be driven by intrinsic motivation, and be deemed emotionally intelligent [17]. The EQ is a measurement of EI, and there are various methods for quantification available, [18].…”

Section: A Emotional Intelligencementioning

confidence: 99%

“…It is measured from an assortment of distinctive tests has been created to survey EI. The two most popular types of such assessments are Triat EI and Ability EI [17]. In response to questions or remarks, test takers score their behavior.…”

Section: Related Workmentioning

confidence: 99%

Student Placement Probabilistic Assessment Using Emotional Quotient With Machine Learning: A Conceptual Case Study

Kathirisetty,

Jadeja,

Thakkar

et al. 2023

IEEE Access

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The primary goal of the proposed study is to measure a student's Emotional Quotient (EQ) for job placement and to correlate the EQ with the ability of student's survival in the industry. EQ is expected to be influenced by several demographic factors such as age, gender, academic performance, location, parental education, parental income, and family structure. However, the previous studies did not take these factors in consideration. To validate the correlation of demographic factors with EQ, developed a data set considering the above mentioned factors followed by designing several Machine Learning (ML) based ensemble techniques. Ratings for each parameter ranged from 1 to 10. Based on that, evaluating the results to choose the best approach. The primary goal of this inquiry was to identify the factors other than academic performance that prompt a student to get hired by a company more quickly. The final grade for all students is determined by ascertaining a student's emotional and intellectual ability. The fundamental contribution of this study is the establishment of a student's emotional calculation, along with an explanation of how to evaluate it, the advantages of such a concept, its psychometric validity, and its difficulties. The background and variety of validation studies will show how measurements can accurately and rigorously evaluate the behavioral level of EQ.

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Trends in NLP for personalized learning: LDA and sentiment analysis insights

Yu,

Chauhan

2024

Educ Inf Technol

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Machine learning in emotional intelligence studies: a survey

Cited by 8 publications

References 119 publications

Systematic Mapping Study of Tools to Identify Emotions and Personality Traits

Systematic Mapping Study of Tools to Identify Emotions and Personality Traits

Student Placement Probabilistic Assessment Using Emotional Quotient With Machine Learning: A Conceptual Case Study

Trends in NLP for personalized learning: LDA and sentiment analysis insights

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