Predicting aesthetic preferences: does the Big-Five matters?

User experience is imperative for the success of interactive products. User experience is notably affected by user preferences; the higher the preference, the better the user experience. The way users develop their preferences are closely related to personality traits. However, there is a void in un...

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Main Authors: Carolyn Salimun, Esmadi Abu Abu Seman, Wan Nooraishya Wan Ahmad, Zaidatol Haslinda Abdullah Sani, Saman Shishehchi
Format: Article
Language:English
English
Published: International Journal of Advanced Computer Science and Applications 2021
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/37343/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/37343/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/37343/
https://dx.doi.org/10.14569/IJACSA.2021.0121223
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spelling my.ums.eprints.373432024-01-18T07:26:14Z https://eprints.ums.edu.my/id/eprint/37343/ Predicting aesthetic preferences: does the Big-Five matters? Carolyn Salimun Esmadi Abu Abu Seman Wan Nooraishya Wan Ahmad Zaidatol Haslinda Abdullah Sani Saman Shishehchi QA71-90 Instruments and machines QA75.5-76.95 Electronic computers. Computer science User experience is imperative for the success of interactive products. User experience is notably affected by user preferences; the higher the preference, the better the user experience. The way users develop their preferences are closely related to personality traits. However, there is a void in understanding the association between personality traits and aesthetic dimensions that may potentially explain how users develop their preferences. This paper examines the relationship between the Big-Five personality traits (Openness to Experience, Conscientiousness, Extraversion, Agreeableness, and Neuroticism) and the two dimensions of aesthetics (classical aesthetics, expressive aesthetics). Two hundred twenty participants completed the Big-Five questionnaire and rated their preference for each of the ten images of web pages on a 7- point Likert scale. Results show Openness to Experience, Conscientiousness, Extraversion, and Neuroticism were not significantly correlated with aesthetic dimensions. Only Agreeableness showed a significant correlation (although weakly) with both classical and expressive aesthetics. The finding conforms to literature that personality traits have influence on the preference of individual design features in lieu of aesthetic dimensions. In other words, personality traits are inapt predictor of aesthetic dimension. Therefore, more studies are needed to explore other factors that potentially help to predict aesthetic dimensions. International Journal of Advanced Computer Science and Applications 2021-12 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/37343/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/37343/2/FULL%20TEXT.pdf Carolyn Salimun and Esmadi Abu Abu Seman and Wan Nooraishya Wan Ahmad and Zaidatol Haslinda Abdullah Sani and Saman Shishehchi (2021) Predicting aesthetic preferences: does the Big-Five matters? International Journal of Advanced Computer Science and Applications, 12 (12). pp. 175-182. ISSN 2158-107X https://dx.doi.org/10.14569/IJACSA.2021.0121223
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic QA71-90 Instruments and machines
QA75.5-76.95 Electronic computers. Computer science
spellingShingle QA71-90 Instruments and machines
QA75.5-76.95 Electronic computers. Computer science
Carolyn Salimun
Esmadi Abu Abu Seman
Wan Nooraishya Wan Ahmad
Zaidatol Haslinda Abdullah Sani
Saman Shishehchi
Predicting aesthetic preferences: does the Big-Five matters?
description User experience is imperative for the success of interactive products. User experience is notably affected by user preferences; the higher the preference, the better the user experience. The way users develop their preferences are closely related to personality traits. However, there is a void in understanding the association between personality traits and aesthetic dimensions that may potentially explain how users develop their preferences. This paper examines the relationship between the Big-Five personality traits (Openness to Experience, Conscientiousness, Extraversion, Agreeableness, and Neuroticism) and the two dimensions of aesthetics (classical aesthetics, expressive aesthetics). Two hundred twenty participants completed the Big-Five questionnaire and rated their preference for each of the ten images of web pages on a 7- point Likert scale. Results show Openness to Experience, Conscientiousness, Extraversion, and Neuroticism were not significantly correlated with aesthetic dimensions. Only Agreeableness showed a significant correlation (although weakly) with both classical and expressive aesthetics. The finding conforms to literature that personality traits have influence on the preference of individual design features in lieu of aesthetic dimensions. In other words, personality traits are inapt predictor of aesthetic dimension. Therefore, more studies are needed to explore other factors that potentially help to predict aesthetic dimensions.
format Article
author Carolyn Salimun
Esmadi Abu Abu Seman
Wan Nooraishya Wan Ahmad
Zaidatol Haslinda Abdullah Sani
Saman Shishehchi
author_facet Carolyn Salimun
Esmadi Abu Abu Seman
Wan Nooraishya Wan Ahmad
Zaidatol Haslinda Abdullah Sani
Saman Shishehchi
author_sort Carolyn Salimun
title Predicting aesthetic preferences: does the Big-Five matters?
title_short Predicting aesthetic preferences: does the Big-Five matters?
title_full Predicting aesthetic preferences: does the Big-Five matters?
title_fullStr Predicting aesthetic preferences: does the Big-Five matters?
title_full_unstemmed Predicting aesthetic preferences: does the Big-Five matters?
title_sort predicting aesthetic preferences: does the big-five matters?
publisher International Journal of Advanced Computer Science and Applications
publishDate 2021
url https://eprints.ums.edu.my/id/eprint/37343/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/37343/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/37343/
https://dx.doi.org/10.14569/IJACSA.2021.0121223
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score 13.19449