• Proceedings of the Korea Contents Association Conference
• /
• 2003.05a
• /
• pp.372-375
• /
• 2003

To effectively adopt individual customer's preference and actively adapt change of business situation, suppose an architecture of the system which include information categorization using user's preference. In the experimental results, it is found that information providing system implemented by this idea is more flexible than existing systems in extension of usage of information and goes beyond the traditional models.

• 한국정보디스플레이학회:학술대회논문집
• /
• 2007.08b
• /
• pp.1143-1146
• /
• 2007

We carried out the human visual evaluation on PDPs and LCDs to clarify the viewer preference and the related physical and physiological factors. In the subjective evaluation, the impression test using the semantic differential method was carried out. In the objective evaluation, the eye motion tracking system was used. Our study showed that considering the real usage, the optimum display for viewers was that which showed more soft and smooth image without blurring.

• KIEAE Journal
• /
• v.12 no.5
• /
• pp.53-61
• /
• 2012

As aging society progresses, it is necessary to establish a housing standard that provides a healthy, safe, and convenient environment for the elderly. The objective of the study is to propose a housing space standard that is geared towards elderly living in the urban area. Three steps were taken to attain the objective. First, characteristics of housing preference, spatial usage and furniture preference of the elderly were attained through a survey. The survey was conducted targeting the respondents of the ages 60 to 79 living in three different administrative districts in Seoul. Second, the required floor space to perform individual specific behavior using anthropometric dimension of the elderly was investigated by literature review. Lastly, floor space of each space is suggested combining each area for individual specific behavior which reflects characteristics of housing preference and spatial usage. The results of the research as follows. A bedroom was planned, which includes the function of receiving guests by giving the area for the placement of a sofa. The space for the use of dinning table for two person was planned in the kitchen and The space for the behavior of showering on a chair was planned in a bathroom. Lastly, the space for the behavior of taking off shoes on a chair was considered in the entrance area. Consequently, $35.4m^2$ is suggested as the necessary floor space for the elderly housing considering the characteristics of the elderly in urban area. However, because of space composition and space for accessibility, the additional space should be considered to plan the elderly housing.

• CRM연구
• /
• v.4 no.1
• /
• pp.55-68
• /
• 2011

Recently with the development of Web services by utilizing a variety of web content, the studies on user experience and personalization based on web usage has attracted much attention. Majority of personalized analysis are have been carried out based on existing data, primarily using the database and statistical models. These approaches are difficult to reflect in a timely mannerm, and are limited to reflect the true behavioral characteristics because the data itself was just a result of customers' behaviors. However, recent studies and commercial products on web analytics try to track and analyze all of the actions from landing to exit to provide personalized service. In this study, by analyzing the customer's click-stream behaviors, we define U-Score(Usage Score), P-Score (Preference Score), M-Score(Mania Score) to indicate variety of customer preferences. With the devised three indicators, we can identify the customer's preferences more precisely, provide in-depth customer reports and customer relationship management, and utilize personalized recommender services.

• Journal of Digital Convergence
• /
• v.12 no.6
• /
• pp.171-180
• /
• 2014

Recently, in order to promote their marketing strategy, the entrepeneurs attach importance to many shopping Application services and execute it. The representative elements of shopping Application are interactivity, information offering, convenience of use. This study verified the effects of interactivity, information supplying, and usage convenience, the application characteristics, on the application preferences and repurchase intentions, and the moderating effects of price sensitivity and usage frequency. The result states that the shopping application characteristics affect the shopping application preference, In terms of price sensitivity, the group with higher price sensitivity showed more significant result on the interactivity and usage convenience, and when the information supplying affects on the application preference, the group with higher price sensitivity showed more significant result than the group with lower price sensitivity.

• Journal of the Korean Society for Library and Information Science
• /
• v.54 no.3
• /
• pp.41-69
• /
• 2020

The purpose of this study is to design and develop a alternative material recommendation system using automatic classification, based on user preference. Details of usage data by users from DREAM was analysed in order to develop the way of a method on selecting proper alternative material, and then the data by user preference were allocated under each category of 10 KDC categories. The keyword, selected from the title of users' usage data from a certain period of time, were divided into 10 subject categories and ranked by the order of frequency of appearance. Books including high frequency of the keyword in title can be selected as a preferred target for producing alternative materials. Lastly, a dynamic linkage for sharing usage data among National Library for the Disabled and other libraries is proposed to produce more proper alternative materials, based on user preference.

• Korean Journal of Community Nutrition
• /
• v.22 no.1
• /
• pp.40-52
• /
• 2017

Objectives: This study was conducted to examine the length of exposure to smartphone and its association with dietary behavior toward snacks, lifestyle, and nutrition knowledge in elementary school students. Methods: Subjects were 372 5th and 6th grade schoolchildren in Cheongju, Korea, and data was collected by a self-administered questionnaire. They were divided into two groups by the time spent using smartphone: moderate (< 2 hours/day) and overexposure (${\geq}2$ hours/day). Data was analyzed using frequency analysis, ${\chi}^2$-test, and independent t-test as well as analysis of covariance when necessary. Results: Approximately half of subjects (41.4%) reported spending ${\geq}2$ hours/day using smartphone. That habit was more frequent among students in the 6th grade, those who received more monthly allowance, and who has a working mother. 63.4% of the subjects reported that they consumed snacks while watching television, using a computer and/or a smartphone and 48.1% said that they consumed snacks while they use a smartphone. Both situations were most prevalent among those with overexposure to smartphone (${\geq}2$ hours/day). We also observed that a higher percentage of subjects from the overexposure group spent more money on snack foods with the preference for ice cream, fast food, and carbonated drinks. Further, those in the overexposure group consumed more ice cream, cookies, and carbonated drinks. In addition, they had less desirable dietary behavior and health-related lifestyle (sleep duration and frequency of regular exercise) compared to those with moderate smartphone usage (< 2 hours/day). However, there was no statistical difference in nutrition knowledge among children with different degrees of smartphone usage. Conclusions: Our results showed that longer smartphone use was associated with less desirable snack preference/consumption and other dietary behavior in elementary school students. Thus interest and positive attitudes towards healthy snacks and diet should be reinforced in nutrition education programs, especially for those who are prone to use smartphones.

• Journal of KIISE:Computer Systems and Theory
• /
• v.34 no.10
• /
• pp.511-520
• /
• 2007

Decay usage scheduling algorithm gives preference to processes that have consumed little CPU in the recent past. It has been widely-used in time-sharing systems such as UNIX, where CPU-intensive processes and interactive processes are mixed. However, there has been no sound understanding about the mixed effects of decay usage parameters on the service performance. This paper empirically analyzes their effects in terms of the resulting service bandwidth and delay Based on such empirical analysis, we derive the clear meaning of each parameter. Such analysis and understanding provides a basis of controlling decay usage parameters for desirable service provision as required by applications.

• Journal of the East Asian Society of Dietary Life
• /
• v.6 no.3
• /
• pp.403-410
• /
• 1996

This survey was carried out to investigate the usage of traditional fermented foods. Questionaries were answered by 283 female adults ranging from 20 to 60 ages in Daegu city and Kyungbuk province. 39.72% of total subjects answered that they made Meju and soybean paste by themselves. There were significant differences according to income, residential area, deucation level, and family size, In the results of the preference and consumption study on traditional soybean pastes, Kimchi and salted sea foods, preference of salted sea foods was the highest, whereas the consumption of salted sea foods was the lowest. The recognition of soybean pastes and traditional foods was remarkably low. However the consumption frequency of traditional fermented foods and the recognition of soybean pastes and traditional foods were significantly increased with age.

• Journal of the Korea Society of Computer and Information
• /
• v.21 no.3
• /
• pp.73-81
• /
• 2016

With the increasing popularity of social network services (SNSs), there have been many attempts to analyze the users of SNSs. By doing so, the characteristics and preferences of the users can be understood, which can help companies provide personalized information and services that they need or are relevant for them. This study aimed to analyze the usage behavior of Korean Twitter users from various perspectives to deepen the understanding of it. For this research goal, an online survey was conducted for the users of Twitter and the data about their actual usage were collected using the open API of Twitter. Factor analysis of the data revealed five factors that explain about 69.3% of the usage variables. It was also investigated how the factors are related to gender, age, and brand preferences. The results showed that the usage behavior of Twitter is largely affected by age (p<0.001), and also by gender through an interaction effect (p<0.05). Also, the factors showed significant statistical correlations with the brand preferences of the users.