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Journal of Information Science
Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Journal of Information Science
Article
License: CC BY
Data sources: UnpayWall
https://dx.doi.org/10.60692/fm...
Other literature type . 2021
Data sources: Datacite
https://dx.doi.org/10.60692/gc...
Other literature type . 2021
Data sources: Datacite
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Influence of personality traits on users’ viewing behaviour

تأثير سمات الشخصية على سلوك المشاهدة لدى المستخدمين
Authors: Samer Muthana Sarsam; Hosam Al-Samarraie; Ahmed Ibrahim Alzahrani;

Influence of personality traits on users’ viewing behaviour

Abstract

Different views on the role of personal factors in moderating individual viewing behaviour exist. This study examined the impact of personality traits on individual viewing behaviour of facial stimulus. A total of 96 students (46 males and 50 females, age 23–28 years) were participated in this study. The Big-Five personality traits of all the participants together with data related to their eye-movements were collected and analysed. The results showed three groups of users who scored high on the personality traits of neuroticism, agreeableness and conscientiousness. Individuals who scored high in a specific personality trait were more probably to interpret the visual image differently from individuals with other personality traits. To determine the extent to which a specific personality trait is associated with users’ viewing behaviour of visual stimulus, a predictive model was developed and validated. The prediction results showed that 96.73% of the identified personality traits can potentially be predicted by the viewing behaviour of users. The findings of this study can expand the current understanding of human personality and choice behaviour. The study also contributes to the perceptual encoding process of faces and the perceptual mechanism in the holistic face processing theory.

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Keywords

Attractiveness, Agreeableness, Big Five personality traits, Developmental psychology, Cognitive Neuroscience, Trait, Social Sciences, Experimental and Cognitive Psychology, Business, Management and Accounting, Big Five personality traits and culture, Social psychology, FOS: Economics and business, Face Perception, Psychology, Neural Mechanisms of Face Perception and Recognition, Alternative five model of personality, Evolutionary Psychology of Human Behavior and Attraction, Extraversion and introversion, Marketing, Neuroticism, Life Sciences, Computer science, Hierarchical structure of the Big Five, Programming language, FOS: Psychology, Facial Perception, Conscientiousness, Perception, Consumer Behavior in Brand Consumption and Identification, Neuroscience, Personality

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Average
Top 10%
hybrid