Emotional intelligence and individuals’ viewing behaviour of human faces: a predictive approach

Hosam Al-Samarraie; Samer Sarsam; Ahmed Ibrahim Alzahrani

doi:10.1007/s11257-023-09372-z

Emotional intelligence and individuals’ viewing behaviour of human faces: a predictive approach

Hosam Al-Samarraie, Samer Sarsam, Ahmed Ibrahim Alzahrani

School of Strategy and Leadership

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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Abstract

Although several studies have looked at the relationship between emotional characteristics and viewing behaviour, understanding how emotional intelligence (EI) contributes to individuals’ viewing behaviour is not clearly understood. This study examined the viewing behaviour of people (74 male and 80 female) with specific EI profiles while viewing five facial expressions. An eye-tracking methodology was employed to examine individuals’ viewing behaviour in relation to their EI. We compared the performance of different machine learning algorithms on the eye-movement parameters of participants to predict their EI profiles. The results revealed that EI profiles of individuals high in self-control, emotionality, and sociability responded differently to the visual stimuli. The prediction results of these EI profiles achieved 94.97% accuracy. The findings are unique in that they provide a new understanding of how eye-movements can be used in the prediction of EI. The findings also contribute to the current understanding of the relationship between EI and emotional expressions, thereby adding to an emerging stream of research that is of interest to researchers and psychologists in human–computer interaction, individual emotion, and information processing.

Original language	English
Pages (from-to)	889-909
Number of pages	21
Journal	User Modelling and User-Adapted Interaction
Volume	33
Issue number	4
DOIs	https://doi.org/10.1007/s11257-023-09372-z
Publication status	Published - 19 Jun 2023

Bibliographical note

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords

Emotional intelligence
Human–computer interaction
Eye-movements
Facial expressions
Visual processing

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10.1007/s11257-023-09372-zLicence: CC BY

PublishedFinal published version, 3.4 MBLicence: CC BY

Cite this

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abstract = "Although several studies have looked at the relationship between emotional characteristics and viewing behaviour, understanding how emotional intelligence (EI) contributes to individuals{\textquoteright} viewing behaviour is not clearly understood. This study examined the viewing behaviour of people (74 male and 80 female) with specific EI profiles while viewing five facial expressions. An eye-tracking methodology was employed to examine individuals{\textquoteright} viewing behaviour in relation to their EI. We compared the performance of different machine learning algorithms on the eye-movement parameters of participants to predict their EI profiles. The results revealed that EI profiles of individuals high in self-control, emotionality, and sociability responded differently to the visual stimuli. The prediction results of these EI profiles achieved 94.97% accuracy. The findings are unique in that they provide a new understanding of how eye-movements can be used in the prediction of EI. The findings also contribute to the current understanding of the relationship between EI and emotional expressions, thereby adding to an emerging stream of research that is of interest to researchers and psychologists in human–computer interaction, individual emotion, and information processing.",

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Emotional intelligence and individuals’ viewing behaviour of human faces: a predictive approach

Abstract

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Keywords

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