• Korean Institute of Interior Design Journal
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• v.22 no.6
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• pp.88-97
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• 2013

This study aims to find out various users' diverse interior design needs for their housing and interior design through the personality, which is intrinsic and consistent traits of the individual. The survey research followed the literature reviews including personality studies and interior design assessments. 176 undergraduate and graduate students as controlled by age, sex, and major answered the questionnaire. Their housing and interior design attitudes, the semiotic assessment of interior design styles, and interior design preference were compared in accordance with four pairs of preference dichotomy of MBTI (Myers-Briggs Type Indicator): Extraversion -Introversion, Sensing-iNtuition, Thinking-Feeling, Judging-Perceiving. As a result, the framework of housing and interior design needs by the users' personality types are proposed. It shows specific needs for 16 types of personality based on eight preference dichotomy: extroversion-open, introversion-closed, sensing-functional, intuition-emotional, thinking-restricted, feeling-receptive, judging-simple, and perceiving-creative.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.55-60
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• 2020

Adaptive recommendation systems have been developed with big data processing as a system that provides services tailored to users based on user information and usage patterns. Deep learning can be used in these adaptive recommendation systems to handle big data, providing more efficient user-friendly recommendation services. In this paper, we propose a system that uses deep learning to categorize and recommend tourism types to suit the user's personality. The system was divided into three layers according to its core role to increase efficiency and facilitate maintenance. Each layer consists of the Service Provisioning Layer that real users encounter, the Recommendation Service Layer, which provides recommended services based on user information entered, and the Adaptive Definition Layer, which learns the types of tourism suitable for personality types. The proposed system is highly scalable because it provides services using deep learning, and the adaptive recommendation system connects the user's personality type and tourism type to deliver the data to the user in a flexible manner.

• Journal of Korean Library and Information Science Society
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• v.42 no.4
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• pp.69-88
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• 2011

The purpose of this study is to investigate the relationship between personality type and reading tendency of the youth who are main users in a public library and are in a very important period of character formation, and thereby to find out the possibility of bibliotherapy based on the personality type. For this study, data was collected through surveys with 538 students(324 senior years in elementary school students and 259 middle school students). This study reveals that the reading tendencies are closely related with individual, social and cultural adaptation of the youth. Based on the results of this study, a reading education method according to the personality type is expected to be developed.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.61-68
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• 2021

The development of the fourth industry has enabled users to quickly share a lot of data online. We can analyze big data on information about tourist attractions and users' experiences and opinions using artificial intelligence. It can also analyze the association between characteristics of users and types of tourism. This paper analyzes individual characteristics, recommends customized tourist sites and proposes a system to provide the sacred texts of recommended tourist sites as AR services. The system uses machine learning to analyze the relationship between personality type and tourism type preference. Based on this, it recommends tourist attractions according to the gender and personality types of users. When the user finishes selecting a tourist destination from the recommendation list, it visualizes the information of the selected tourist destination with AR.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.4
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• pp.91-114
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• 2019

This study intends to classify the users by the MBTI personality type and investigate and analyze information resources and services of library preferred by personality type. Towards this end, we have surveyed the K University students on their personality types and preferred resources and services, and also attempted to explore the possibility of providing customized information services of university libraries according to the MBTI personality type based on the results. As a result of the study, it turned out that there was a significant difference in the preference of digital contents type in the analysis of the data type preference and the quadrant type through the analysis of attitude index type from validating the difference between data / information source and service preference according to the MBTI type. The analysis of 16 types of personality also demonstrated a significant difference in the perception of digital contents. Accordingly, In order to provide services for data and digital contents suitable for personality types in university libraries, it should be preceded by collecting MBTI personality type data for users in the library. After that, when a user requests a reference information service from a library, or requests a book or information, it is necessary to provide a form-specific service or provide a content-specific service.

• Journal of the Korea Society of Computer and Information
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• v.16 no.1
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• pp.153-161
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• 2011

Focusing upon the post-adoption stage of IS, this study reasoned that IS users' personality is one of major influencing factors of continuous IS usage intention and empirically examined how the degree of continuous IS usage intention is variable according to the IS users' personality types classified based on MBTI(Myers Briggs Type Indicator). In order to validate the research model and hypotheses, this study made a field survey of 330 IS users and statistically analysed response data. The results of empirical analyses showed that the intent of continuous IS usage was affected by self-efficacy of IS; and self-efficacy by self-leadership of IS; and self-leadership by IS user' personality type and expectation confirmation. That is, it was found that IS users' personality type and three intervening variables(expectation confirmation, self-leadership and self-efficacy) were significant predictors of the intent of continuous IS usage. This study is thought to be contributive to providing the theoretical basis of finding IS success factors in the post-adoption stage and the practical guideline for effective personnel management relevant to IS implementation.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.8
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• pp.491-498
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• 2016

This paper proposes a visualization method that expresses users' MBTI personality types based on the categorization method called 'Big Five Personality Traits' and their representative celebrities' facial images. This system has significance for visualizing traits from texts to images effectively. The entire system is composed of making backgrounds to represent traits of each MBTI category using 'Big Five Personality Traits' and showing facial images of celebrities with corresponding MBTI personality types. First, 'Big Five Personality Traits' classifies 16 MBTI types into four categories and each of category traits lays the foundation to make background using visual elements such as colors and lines. Second, celebrities' facial images are substituted for the corresponding literal explanation of each MBTI type. By adjusting the color saturation, users can distinguish relationship between the types intuitively. As a result, this system enables users to take information for their own / opposite / similar MBTI types simultaneously.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.407-419
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• 2015

As the use of social media has gained mainstream popularity, concerns on the particulars of the users' motivation and method of use is on the rise. Under uses and gratifications approach, this study analyzes the use behaviors in Kakao-story, Facebook, and Twitter, and analyzes the changes in the perception of social support by the users of the media. Data was analyzed from 240 online questionnaire surveys. The study finds that the frequency of use of social media differs depending upon the personality of the users and their purpose of use, both of which also influence their type of use. It also finds that frequent use of social media increased the users' perception of social support, whereas their type of use had no effect with such perception. Communication behavior through social media seem to increase perception of social support.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.19-24
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• 2022

"Know thyself" is one of the most famous ancient proverbs. We need to know ourselves to understand others and find true ourselves. Enneagram is one of the tools we can use to do it. It has drawn more and more attention from people by its effectiveness and spiritual depth. It has been widely promoted in both business management and spirituality contexts. It has many concepts to be understood. Holy ideas and virtues are understood to be restored to find our true self which is the purpose of using the Enneagram. Actually, holy ideas and virtues are similar with character qualities which comprise character. In this paper, holy ideas and virtues are matched with corresponding character qualities. To promote transformative process of character development through Enneagram, an app was designed. It has 2 levels. Level 1 is to find personality type and show corresponding character qualities of 9 personality types to users. Level 2 is to find subtypes and Enneagram Levels of Development for further purpose.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.200-210
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• 2023

Until now, it is popular to use question-and-answer-based for human personality. The current inspection of representative personality types includes Myers-Briggs Type Indicator (MBTI) and job suitability evaluations. The problem of these inspection methods is influenced by the user's environment and psychological status during MBTI inspection. To solve this problem, we proposed MBTI Identification Model based on measuring bioelectricity patterns. We adapt traditional Korean medicine, the Eight Constitution, to this model. We develop an automatic MBTI identification algorithm that maps the Eight Constitution via biological current patterns to identify MBTI personality types. By utilizing the algorithm proposed in this research, it is anticipated that users will be able to measure MBTI more easily and accurately.