Predicting aesthetic preferences: does the Big-Five matters?

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

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Abstract

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.

Item Type:	Article
Keyword:	User experience, Aesthetic dimensions, Personality traits, Big-five
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Department:	FACULTY > Faculty of Computing and Informatics
Depositing User:	SITI AZIZAH BINTI IDRIS -
Date Deposited:	18 Jan 2024 15:26
Last Modified:	18 Jan 2024 15:26
URI:	https://eprints.ums.edu.my/id/eprint/37343

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