• The Journal of Bigdata
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• v.2 no.2
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• pp.105-114
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• 2017

Today, many services are supported on the web sites. Analysis of usage patterns of web site visitors is very important to optimize the use and efficiency of the web sites. In this study, analysis of usage patterns and comparative analysis of user groups were conducted by analyzing web access log provided by BPI Challenge 2016. This data provides access logs to the web site in the IT system of a Dutch Employee Insurance Agency (UWV). The customer information, and the click data describing the customers' behavior when using the agency's web site. In this study, we use process mining techniques to analyze the usage patterns of customers and the characteristics of customer groups, and ultimately improve the service quality of customers using web services.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.9 no.1
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• pp.53-58
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• 1998

Objectives : To compare the voice quality and voice problems of untrained professional voice user groups with that of normal control group without voice problem. Materials and Methods : The sustained vowel sounds of 13 male and 36 female teachers, 46 clergies and 15 telephone operators, and 40 normal male and 20 normal female persons were analyzed, using a videostroboscopy and acoustic analyzer. Together with these analyses, a questionnaire associated with risk factors for current and past voice problems was handed over to the patients. Results : The most common symptom in subjective groups was the voice fatigue. In stroboscopic examination, the professional voice user groups shelved functional voice disorder findings regardless of the Intensity of voice use. In the clergy and teacher using loud voice, vocal polyp, vocal nodule and hyperfunction of laryngeal muscle were frequently observed. In the clergy and telephone operator, jitter and shimmer were significantly increased. In the female teacher, the value of jitter, fundamental frequency variation and fundamental frequency were statiscally significant. However, the voice of male teacher showed no significant findings in the acoustic and aerodynamic studies. Conclusion : In the management of voice problems for untrained professional voice user groups, it is important to find the exact causes and patterns of voice problems, and to be individualized the management according to the causes.

• Journal of Korean Library and Information Science Society
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• v.31 no.1
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• pp.87-114
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• 2000

The purpose of this study is offering appropriate system and training program to helf the system designer and the trainer in addition to analyze information use behavior about the web search tools and evaluate the estimated system by user groups. The results of the study are as follows $\circledS1$ It is desirable to consider age than other demographic variables in the case of web search tool. $\circledS2$ It is desirable to design Directory Search Tool in the case of web search tool which serves the student user group. $\circledS3$ An Intelligent Search Tool is more appropriate for the students who are using keyword search tool than any other tools. $\circledS4$ A discussion about standard classification of the web information should be accomplished soon because users feel confused in using web search tools due t o absence of standard mode of classification about classified item. $\circledS5$ Librarians need the cognition about data on internet s a source of information and need positive service and user training program about these information because student users hardly get help from librarians or library orientation for learning method to use web search tool. $\circledS6$ Internet use experience and years of computer use had effect on their use ability when using web search tool, whereas computer use experience, library use experience and Online Public Access Catalogs (OPAC) use experience had no effect on it. Especially, OPAC use experience had no effect on use ability of web search tool of student user group because student user groups had no information about internet and web search tool and they did not recognized the difference about search method between web search tool and OPAC. $\circledS7$In the case of web search tool, it si important to index the increasing web resource automatically by a searching robot. But in the case of student users, web search tool is much more needed to index by index expert due to the absence of ability about selecting and combining keyword.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1957-1968
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• 2013

This study figured out how could mobile contents quality factors, such as usefulness, accuracy, timeliness, entertaining, economic, security etc., affect satisfaction by user individuality using empirical analysis with an aim of finding difference in content quality factors which have an influence on mobile contents satisfaction by user characteristics in integrated view systemically. The result of analysis shows that usefulness has an influence on satisfaction in principle regardless of user characteristics. This study discovered that both of usefulness and entertaining are significant to satisfaction in the groups with high-user individuality. On the other hand, in the groups with low-user individuality both of usefulness and accuracy affect satisfaction. Findings show that contents preference can be different based on user characteristics. Implications are discussed and limitations are proposed based on empirical analysis.

• Journal of Multimedia Information System
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• v.4 no.3
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• pp.145-150
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• 2017

Recently, game companies are having difficulties in exactly figuring out the right consumer groups for their games. To solve this problem, a system algorithm which recommends user-customized games based on the user information entered has been proposed in this study. Game developers will be able to clearly determine the consumer group(s) of both on and off-line games through accumulated data while consumers can find the game they desire. It is expected that the gaming culture will advance further with the proposed algorithm.

• Journal of the Korean Society for Library and Information Science
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• v.46 no.2
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• pp.219-243
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• 2012

The purposes of this study are to develop spatial factors for children's libraries and fulfill the evaluation of importance of expert and user groups for it. So, this study developed spatial evaluation factors by analyzing materials of domestic/international groups and associations and precedent studies, drawing spatial factors and organizing them. Next, for the spatial factors developed to 12 evaluation areas and 127 detailed indexes, an importance was evaluated for 4 expert groups; children's librarians, people majoring in early childhood education, elementary school's librarians, people in charge of architecture, etc. and 3 groups; infants, elementary school's lower grades, elementary school's high grades, etc. The evaluation results are as follows. First, the expert groups approved an importance of indexes by evaluating all of the 12 evaluation areas and 120 indexes of 127 detailed indexes as more than 3.0. Second, the user groups also approved an importance of indexes by evaluating all of 12 evaluation areas and 125 detailed indexes of 127 detailed indexes as more than 3.0. Third, as the result of evaluating an importance between expert groups and user groups, there was a difference between two groups in 2 areas among the 12 evaluation areas.

• Asia pacific journal of information systems
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• v.11 no.2
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• pp.23-55
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• 2001

It is generally agreed that realizing the full potential of the internet shopping mall(ISM) requires careful identification of customer needs and expectations. However, a quantitative framework to explain and predict users' behavior toward ISM has not been well established because the research on the user acceptance of ISM is still in its infancy. This study proposes a model which uses factor analysis to identify factors of ISM characteristics and individual characteristics affecting user acceptance of ISM. Predictive models based on the multiple regression analyses select the factors and their interactions with individual characteristics that significantly influence user acceptance. Results show that five factors including economy, convenience, credibility, reliability, information risks, and performance risks affects user acceptance. In addition, individual differences in terms of innovativeness, playfulness, and recreational shopping traits have both direct and interaction effects on user acceptance. The implication of this study is that, although user attitudes towards ISM characteristics in general are important to their acceptance behavior, the level of importance depends upon different user groups.

• Journal of Digital Convergence
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• v.22 no.1
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• pp.15-21
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• 2024

The purpose of this study is to analyze the use of generative AI and the perception of differences between user groups. This study explored the perceptions of different user groups regarding generative AI, aiming to derive implications for enhancing AI utilization capabilities for each group. Upon analysis, it was found that there were no significant differences in perceptions across age groups. However, notable differences were observed between professional backgrounds, particularly in the areas of generative AI application and ethical perspectives. Consequently, this study suggests the need for diversified AI solutions tailored to specific fields of expertise. It underscores the importance of customized education and training programs, as well as specialized education focused on ethical considerations. Additionally, this research contributes academically by proposing varied AI usage strategies for different age and professional groups. It also highlights the role of text mining techniques in developing and improving AI utilization skills.

• Journal of Digital Convergence
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• v.10 no.9
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• pp.73-78
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• 2012

The appearance and evolution of cloud service is potentially one of the major advances in information and communication technology. However, it is necessary to identify and understand the various issues of cloud service, both from the perspectives of the providers and the consumers of it. While a lot of studies such as cloud business model, profit model and technology itself are currently taking place in cloud service considering provider's aspects, there are a few researches dealing with cloud service user's aspects. This paper presents the user behavior analysis focused on SaaS users and discusses the development strategy of SaaS service based on the results of user behavior analysis. In order to analyze the user behavior, we surveyed SaaS users divided into two groups such as present and future user groups. Eventually, we proposed the SaaS prospects, development strategy and policy issues based on user behavior analysis.

• Journal of KIISE:Software and Applications
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• v.37 no.9
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• pp.659-668
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• 2010

Collaborative filtering systems grasp behaviors for a new user and need new information for the user in order to recommend interesting items to the user. For the purpose of acquiring the information the collaborative filtering systems learn behaviors for users based on the previous data and can obtain new information from the results. In this paper, we propose an inductive inference method to obtain new information for users and rank items by using the new information in the proposed method. The proposed method clusters users into groups by learning users through NMF among inductive machine learning methods and selects the group features from the groups by using chi-square. Then, the method classifies a new user into a group by using the bayesian probability model as one of inductive inference methods based on the rating values for the new user and the features of groups. Finally, the method decides the ranks of items by applying the Rocchio algorithm to items with the missing values.