• Journal of Digital Convergence
• /
• v.18 no.4
• /
• pp.479-487
• /
• 2020

The purpose of this study is to identify a potential user's need for use and operational of the elderly day care center and to identify the problems and suggest development directions. The data collection was conducted on 320 ordinary people living in J-do through a questionnaire, and sought to understand the operational status of in-depth interview institutions for the heads and employees of six center. As a result of the analysis, a potential user's ware not aware of the functions and specific roles of day care center, the cost of facilities was covered by the government, and that facilities and the environment were important factors when using the center. In-depth interviews show that the current policy or system is far from reality and does not fit the status or role of the workers and the operational status of the agency, requiring the re-establishment of the on-site system. Based on the research results, the development direction of day care facilities requires active promotion and strengthening of family support for improving and enhancing awareness of day care facilities to citizens at the national level. Second, the quality of nursing services should be enhanced through improvements in facilities and the environment that reflect users' needs. Third, The government should improve the quality of nursing services by improving the poor employment conditions and treatment of workers to fit the reality.

• 한국정보디스플레이학회:학술대회논문집
• /
• 2009.10a
• /
• pp.304-304
• /
• 2009

We may need to consider 'display' interface and product design as distinct from traditional user- and technologydriven product design. Technology-dominated product development may lead users to demand another 'technological improvement' rather than 'design improvement.' This cycle of product development may cause both users and producers to disregard the potential of 'display' technology and interface. We must develop a better understanding of significant and unique 'display' potential in comparison with 'real' world communications and current sociological and technological contexts.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.12 no.2
• /
• pp.181-186
• /
• 2012

This paper proposes a method for evaluating web pages by considering implicit user reaction on web pages. Usually users spend more time and make more reactions, such as clicking, dragging and scrolling, while reading interesting pages. Based on this observation, a web page evaluation method by observing implicit user reaction is proposed. The system is designed with Ajax for observing user reactions, and neural networks for learning correlation between user reactions and usefulness of pages. The amounts of each type of user reactions are inputted to neural networks. Also the numbers of characters and images of pages are used as inputs because the amount of users' behaviors has a tendency to increase as the length of pages increase. The experiment is conducted with 113 people and 74 pages. Each page is ranked by users with a questionnaire. The proposed method shows more close ranking results to the user ranks than Google. That is, our system evaluates web pages more closely to users' viewpoint than Google. Although our experiment is limited, our result shows powerful potential of new element for web page evaluation. Some approaches evaluate web pages with their contents and some evaluate web pages with structural attributes, particularly links, of pages. Web page evaluation is for users, so the best evaluation can be done by users themselves. So, user feedback is one of the most important factors for web page evaluation. This paper proposes a new method which reflects user feedbacks on web pages.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.12
• /
• pp.3798-3814
• /
• 2022

Social recommendation algorithm can alleviate data sparsity and cold start problems in recommendation system by integrated social information. Among them, matrix-based decomposition algorithms are the most widely used and studied. Such algorithms use dot product operations to calculate the similarity between users and items, which ignores user's potential preferences, reduces algorithms' recommendation accuracy. This deficiency can be avoided by a metric learning-based social recommendation algorithm, which learns the distance between user embedding vectors and item embedding vectors instead of vector dot-product operations. However, previous works provide no theoretical explanation for its plausibility. Moreover, most works focus on the indirect impact of social friends on user's preferences, ignoring the direct impact on user's rating preferences, which is the influence of user rating preferences. To solve these problems, this study proposes a user bias drift social recommendation algorithm based on metric learning (BDML). The main work of this paper is as follows: (1) the process of introducing metric learning in the social recommendation scenario is introduced in the form of equations, and explained the reason why metric learning can replace the click operation; (2) a new user bias is constructed to simultaneously model the impact of social relationships on user's ratings preferences and user's preferences; Experimental results on two datasets show that the BDML algorithm proposed in this study has better recommendation accuracy compared with other comparison algorithms, and will be able to guarantee the recommendation effect in a more sparse dataset.

• Journal of Korea Multimedia Society
• /
• v.17 no.11
• /
• pp.1325-1334
• /
• 2014

Recently game addiction of young people has become a social issue. Therefore, many studies, mostly surveys, have been conducted to diagnose game addiction. In this paper, we suggest how to distinguish levels of addiction based on EEG. To this end, we first classify four groups by the degrees of addiction to internet games (High-risk group, Vigilance group, Normal group, Good-user group) using CSG (Comprehensive Scale for Assessing Game Behavior) and then measure their Event Related Potential(ERP) in the Go/NoGo Task. Specifically, we measure the signals of P300, N400 and N200 from the channels of the NoGo stimulus and Go stimulus. In addition, we extract distinct features from the discrete wavelet transform of the EEG signal and use these features to distinguish the degrees of addiction to internet games. The experiments in this study show that High-risk and Vigilance group exhibit lower Go-N200 amplitude of Fz channel than Normal and Good-user groups. In Go-P300 and NoGo-P300 of Fz channel, High-risk and Vigilance groups exhibit higher amplitude than Normal and Good-user group. In Go-N400 and NoGo-N400 of Pz channel, High-risk and Vigilance group exhibit lower amplitude than Normal and Good-user group. The test after the learning study of the extracted characteristics of each frequency band from the EEG signal showed 85% classification accuracy.

• Journal of radiological science and technology
• /
• v.42 no.5
• /
• pp.387-392
• /
• 2019

This study analyzed the influence of smartphone addiction on adaptation to school life by using the questionnaire survey method of 431 students of radiological science in six regions. The results showed that 89.6% of students are the general user group, 6.3% the high risk group and 4.2% the potential risk group. Adaptability to school life was found to be social adaptability 3.71, righteous adaptability 3.17 and academic adaptability 2.95. Academic adaptability was 3.06 for male students and 2.79 for female students. And righteous adaptability was 3.26 for male students and 3.03 for female students. As a result, male students were more adaptable than female students in academic adaptability and righteous adaptability, which was statistically significant. And Social adaptability was 3.73 for female students and 3.68 for male students, but there was no significant difference(p<.001). Adaptability to school life by smartphone addiction level was found to be the general user group 3.19, the potential risk group 3.05 and the high risk group 2.81. The difference of righteous adaptability between the general user group and the high risk group was statistically significant. And social and academic adaptability of the general user group and the high risk group was no significant(p<.01).

• Journal of Biomedical Engineering Research
• /
• v.17 no.2
• /
• pp.179-188
• /
• 1996

A clinically oriented 32-channel electroencephalogram (EEG) and evoked potential (EP) mapping system has been developed EEG and EP signals acquired from 32-channel electrodes attached on the heroid surface are amplified by a pre-amplifier which is separated from main amplifier and is located near the patient to reduce signal attenuation and noise contamination between electrodes and the amplifier. The amplified signals are further amplified by a main amplifier where various filtering and gain contr61 are achieved An automatic artifact rejection scheme is employed using neural network-based EEG and artifact classifier, by which examination time is substantially reduce4 The continuously measured EEG sigrlals are used for spectral mapping, and auditory and visual evoked potentials measured in synchronous to the auditory and visual stimuli are used for temporal evoked potential mapping. A user-friendly graphical interface based on the Microsoft Window 3.1 is developed for the operation of the system. Statistical databases for comparisons of group and individual are included to support a statistically-based diagnosis.

• Journal of the Ergonomics Society of Korea
• /
• v.31 no.1
• /
• pp.63-76
• /
• 2012

Objective: The main objective of this study is to propose a user-centered assessment metric for ubiquitous services. Background: As the ubiquitous era took off, the interactions between ubiquitous services and users have come to take an important position. It is essential to conceptualize a new assessment model that considers human-system interaction capability with a user-centered design perspective. Method: The evaluation model for the interactivity of ubiquitous service was approached from the concept of usability and inter-personality of services. As a validation study, suggested assessment metric was utilized to evaluate the u-Home service. Priority weighting of each assessment metric was derived using the quantification type-I analysis. Results: To evaluate interactivity, this study suggested a quantitative metric for user testing performed after classifying the interactivity characteristics to contextualization; ubiquity; user experience; and service capability. Conclusion: This study suggest the metric for the ubiquitous service that are experienced in real life, and introduced the concept of ubiquitous service interactivity. Application: The suggested evaluation metric can be used to evaluate interactivity level of ubiquitous service and identify the potential problem and usability requirements at the early stage of service development.

• JSTS:Journal of Semiconductor Technology and Science
• /
• v.12 no.2
• /
• pp.240-253
• /
• 2012

In this paper we propose a protection mechanism for the debug port. While debug ports are useful tools for embedded device development and maintenance, they can also become potential attack tools for device hacking in case their usage is permitted to hackers with malicious intentions. The proposed approach prevents illicit use of debug ports by controlling access through user authentication, where the device generates and issues authentication token only to the server-authenticated users. An authentication token includes user access information which represents the user's permitted level of access and the maximum number of authentications allowed using the token. The device authenticates the user with the token and grants limited access based on the user's access level. The proposed approach improves the degree of overall security by removing the need to expose the device's secret key. Availability is also enhanced by not requiring server connection after the initial token generation and further by supporting flexible token transfer among predefined device groups. Low implementation cost is another benefit of the proposed approach, enabling it to be adopted to a wide range of environments in demand of debug port protection.

• Journal of the Architectural Institute of Korea Structure & Construction
• /
• v.35 no.4
• /
• pp.193-200
• /
• 2019

Maintenance services provided to users in buildings are not sufficient simply to provide them, but it is necessary to provide them with a service system that can accurately identify and respond to users' needs. This study analyzed the relationship between user satisfaction with the helpdesk service corresponding to the building claim and the quality of service of the maintenance organization to identify the interaction between the user and the maintenance organization in the building. We then examined whether there were significant differences between the buildings in terms of variables in the helpdesk service that affect the user's satisfaction. It was also presented as a measure of the quality of service of the SERVQUAL tool to assess the potential for building maintenance response strategies. Research shows that each building has a helpdesk service item that is significant in user satisfaction and empathy has emerged in a typical dimension as SERVQUAL dimension.