• Korean Institute of Interior Design Journal
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• v.23 no.5
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• pp.112-121
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• 2014

The purpose of this study is to develop the user-oriented housing interior space sensibility evaluation tools: The user-oriented housing interior space sensibility evaluation tools shall be developed through the systematic selection process of the extracted housing interior space images, which were linked with the adjectives of sensibility evaluation selected for the housing interior space preferred by the user from the specific words of the sensibility extracted to identify the characteristics of the user's sensibility which is recently being changed. In the results of analyzing the words of sensibility for the residential space preferred by the users with 48 pairs of adjectives. The user-oriented sensibility assessment tool was built by extracting 8 sensibility factors of 'cozy', 'practical' 'cheerful', 'traditional', 'unique', 'congenial', 'sensuous', and 'gorgeous' in the exploratory factor analysis. The image scale was constructed in two-dimensions of the sense of space and the type of space for the residential interior space images. The dimension of the 'sense of space' is explained by the axis of open-closed and the dimension of 'type of space, is explained by the axis of 'natural-artificial'. Such a structural model of the residential interior design attributes were divided into 8 groups. And the 42 images representing each group were selected and the user-oriented residential interior space image tool was built by adding user's selective elements.

• Journal of Korea Game Society
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• v.7 no.3
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• pp.49-58
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• 2007

The progress of the MMORPG is being under discussion based on 'User Created Content' recently. User Created Content is to be classified into four types - IC User Created Content, IC User Crafted Content, OOC User Created Content, OOC User Crafted Content. Mechanism, Dynamics and Aesthetics on the process of Game Design and Game Play that Marc Leblanc suggested are brought out differently from each other. So, User Created Content can make you understand the various desire of users who's playing game. And It is meaningful in Game Design, either. Therefore, User Created Content is significant as the interaction of IC culture and OOC culture and as the interaction of a process of game play and game design.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.1
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• pp.37-46
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• 2019

The energy of the building is influenced by the user 's activity due to the population, society, and economic characteristics of the building user. In order to obtain accurate energy information, the difference in the amount of energy consumption by the activities and characteristics of building users should be identified. The purpose of the study is to identify the difference in the amount of energy consumption by the user's activities in the same building, and to analyse the relationship between user's activities and demographic, social and economic characteristics. For research, energy simulation is performed based on actual user activity schedule. The results of the simulation were clustered by using K-Means clustering, a machine learning technique. As a result, four types of users were derived based on the amount of energy consumption. The more energy used in a cluster, the lower the user's income level and older. The longer a user's indoor activity times, the higher the energy use, and these activities relate to the user's characteristics. There is more than twice the difference between the group that uses the least energy consumption and the group that uses the most energy consumption.

• Journal of Information Processing Systems
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• v.19 no.2
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• pp.219-231
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• 2023

Intelligent applications are crucial for increasing the popularity of shared urban electric bicycles (EBs). Building an application platform architectural system that can satisfy independent user operations is critical for increasing the intelligent usage of shared EBs. Consequently, we collected online reviews of shared EB applications, conducted semantic processing and sentiment analysis, and refined the positive and negative review data for each function. The positive and negative review indices of each function were calculated using the formulae for positive and negative review indices of product functions, thereby determining the functions that need to be improved. Each function of the Shared EB application was improved according to its business process. The main contributions of this study are to build a user requirement architecture system for the Shared EB application with five dimensions and 22 functions using the Delphi method to design the user interface (UI) of this application based on user satisfaction evaluation results; to create a high-fidelity dynamic interaction prototype and compare user satisfaction before and after improving the Shared EB application functions. The testing results indicate that the changes in the UI significantly improve the user experience satisfaction of the urban Shared EB application, with the positive experience index increasing by 69.21% and the negative experience index decreasing by 75.85% overall. This information can be directly used by relevant companies to improve the functions of the Shared EB application.

• Journal of Korean Library and Information Science Society
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• v.51 no.3
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• pp.281-302
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• 2020

This study aims to suggest the ways to improve academic library's services for foreign users. For this purpose, this study analysed foreign user services of the libraries of universities which have more than 1,000 foreign students and also examined the K university library's foreign user services. And this research classified the information services for foreign users into four types, which are multilingual library homepage, multilingual notices, librarian dedicated to foreigners and multilingual user education. This study analysed the information services of a librarian dedicated to foreigners, user education for foreign students, library space for foreigners and specialized programs for foreign users and also examined the user education satisfactory survey of the K university library and conducted in-depth interview with foreign students and faculties of the K university to figure out the effect of foreign user services. As a result, this research suggests 'providing multilingual service through positioning a librarian for foreign users', 'study and research support services through customized user education', 'developing specialized service' and 'supporting extracurricular program by academic library' as the practical ways to improve academic library's services for foreign users.

• Journal of Korean Library and Information Science Society
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• v.52 no.3
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• pp.267-285
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• 2021

Due to COVID-19, user instruction programs could not be conducted face-to-face, and the sessions have been moved online. The present study attempted to investigate how online user instruction influences the information literacy ability of college students. The study randomly selected college students (N=50) who completed online user instruction sessions and college college students (N=50) who did not complete them among freshment who went to to college in 2020 to measure their information literacy abilities. For this study, a tool for measuring information literacy abilities was developed by referring to several previous studies. The measurement results were analyzed by the independent samples t-test, and significant differences were found between students who completed online user instruction sessions and those who did not. The findings of the study have confirmed that it is effective in enhancing library users' information literacy abilities to provide user instruction online under the COVID-19 situation, and even in post-COVID 19 times, which helps them appropriately utilize the characteristics of digital libraries. The information literacy measurement tool used in the present study was developed to evaluate online information literacy, and thus contributed to the extension of the literature of digital information literacy and user instruction. The present study provided practical implications for how academic libraries will promote information services to cope with environmental changes in which contact-free (untact) services are obliged.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.517-528
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• 2016

This study attempted to explore and examine a new user experience (UX) research method for IoT products which are becoming widely used but lack practical user research. While user experience research has been traditionally opted for survey or observation methods, this paper utilized big data analysis method for user online reviews on an intelligent agent IoT product, Amazon's Echo. The results of topic modelling analysis extracted user experience elements such as features, conversational interaction, and updates. In addition, regression analysis showed that the topic of updates was the most influential determinant of user satisfaction. The main implication of this study is the new introduction of big data analysis method into the user experience research for the intelligent agent IoT products.

• Archives of design research
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• v.15 no.4
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• pp.399-408
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• 2002

According to the improvement in quality of life and the progress of user's taste in this modern society, people great deal with the symbolic meaning of product which express user's self-concept(image). Therefore, this kind of information of users' image is needed to deal importantly for the product design development processes, particularly, the early stage of design development such as the concept design development stage. But, there is not much analysis tools which deal qualitative data of users for the design development. From this reason, the supply of information of user's image through the development of verbal analysis method of user's self-concept will help a designer. For this purpose, this study not only developed the twenty-one factors in order to evaluate user's self-concept, but also suggested that the new approach method that can classify user's group within the same characteristic of user's image using the twenty-one developed verbal measurement items with tools of statistical analysis for the design direction of product. The developed this verbal analysis tool was testified through the case study in this research work.

• Journal of the Korean Society for information Management
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• v.31 no.3
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• pp.201-226
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• 2014

This study aims to develop measures to turn former users and non-users of public libraries back into users by understanding the differences between the user, former user and non-user groups in terms of their perceptions to public libraries, as well as the differences between these groups in their perceptions regarding the factors to non-use of public libraries. A literature review and statistical analysis of the results from a questionnaire survey were conducted to identify the differences. The results from the statistical analysis showed significant differences between the user, former user and non-user groups in terms of their perceptions to public libraries and the non-use factors. From the results, we could categorize the factors into common non-use factors, non-use-only factors, and use interrupt factors, and we develop suggestions to improve the factors in order to move non-users and former users to frequent users of the public libraries.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1407-1414
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• 2016

In this study, we develop that Location Recommending System using personal emotion information based on Collaborative Filtering. Previous Location Recommending System recommended a place visited by the user of the rating or the pattern of location for the user place. These systems are not high user satisfaction because that dose not consider the user status or have not objectively the information. Using user's personal emotion information to recommend a high-affinity users who have visited the place felt similar emotions objectively can improve user satisfaction with the place. In this study, a user using a mobile application directly register the recognized emotion information using the current position and bio-signal, and using the registered information measuring the similarity of user with a similarity emotion, predicts a preference for the place it is recommended to emotional place. The system consists of a user interface, a database, a recommendation module.