An Analysis on Human Personality and Hotel Web Design: a Kohonen Network Approach

Leung, Rosanna; Rong, Jia; Li, Gang; Law, Rob

doi:10.1007/978-3-7091-0503-0_46

Cited by 4 publications

(2 citation statements)

References 34 publications

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“…According to [36], visual aesthetic sensitivity is independent of personality whilst others indicated that people high in Conscientiousness, Extraversion, and Agreeableness preferred common elements of design, such as the contrast between background and text, straightforward information display with the typical organisation of menu bar, scroll bar, and buttons [13][37] [38]. These design elements are literally the execution of affordance and design convention.…”

Section: Related Workmentioning

confidence: 99%

Predicting Aesthetic Preferences: Does the Big-Five Matters?

Salimun¹,

Seman²,

Ahmad³

et al. 2021

IJACSA

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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 7point 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.

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Section: Related Workmentioning

confidence: 99%

Predicting Aesthetic Preferences: Does the Big-Five Matters?

Salimun¹,

Seman²,

Ahmad³

et al. 2021

IJACSA

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“…Despite these findings confirming the influence of personality on information search behaviour, few have examined its influence in tourism settings [38], and the psychological issues (e.g the personality) are ignored [37] in many RSs. In this sense, researchers have dedicated their efforts to identify which personality factors influence tourists' behaviour in travel choices [146,147]. Some of these aspects are already well defined [148], such as personal restrictions (income and number of children), sociodemographic characteristics (e.g.…”

Section: Aspects Of Personality and Sociodemographics In The Environmmentioning

confidence: 99%

Personality-based recommendation: human curiosity applied to recommendation systems using implicit information from social networks

Santos¹

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I n daily life, people usually rely on recommendations, traditionally given by other people (family, friends, etc.) for their most varied decisions. In the digital world, this is not different, given that recommender systems are present everywhere in such a way that we no longer realize. The main goal of these systems is to assist users in the decision-making process, generating recommendations that are of their interest and based on their tastes. These recommendations range from products in e-commerce websites, like books to read or places to visit to what to eat or how long one should walk a day to have a healthy life, who to date or who one should follow on social networks. And this is an increasing area. On the one hand, we have more and more users on the internet whose life is somewhat digitized, given than what one does in the "real world" is represented in a certain way in the "digital world". On the other hand, we suffer from information overload, which can be mitigated by the use of recommendation systems. However, these systems also face some problems, such as the cold start problem and their need to be more and more "human", "personalised" and "precise" in order to meet the yearning of users and companies. In this challenging scenario, personality-based recommender systems are being increasingly studied, since they are able to face these problems. Some recent projects have proposed the use of the human personality in recommenders, whether as a whole or individually by facet in order to meet those demands. Therefore, this thesis is devoted to this new area of personality-based recommendation, focusing on one of its most important traits, the curiosity. Additionally, in order to exploit the information already present on the internet, we will implicitly obtain information from social networks. Thus, this work aims to build a better experience for the end user through a new approach that offers an option for some of the gaps identified in personalitybased recommendation systems. Among these gap improvements, the use of social networks to feed the recommender systems soften the cold start problem

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Personality Differences and Hotel Web Design Study Using Targeted Positive and Negative Association Rule Mining

Leung

Rong

et al. 2013

Journal of Hospitality Marketing & Management

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An Analysis on Human Personality and Hotel Web Design: a Kohonen Network Approach

Cited by 4 publications

References 34 publications

Predicting Aesthetic Preferences: Does the Big-Five Matters?

Predicting Aesthetic Preferences: Does the Big-Five Matters?

Personality-based recommendation: human curiosity applied to recommendation systems using implicit information from social networks

Personality Differences and Hotel Web Design Study Using Targeted Positive and Negative Association Rule Mining

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