• Journal of the Korean Society for Library and Information Science
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• v.54 no.4
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• pp.83-105
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• 2020

The study explored the extent of the effect of content book trailer services among the specialized services of the library using the latest technology. The AIDMA&AISAS model was employed to measure the seven reactions of user behavior: Attention, Interest, Search, Desire, Memory, Action, and Share. A total of 287 responses were analyzed by conducting surveys with users who had experienced book trailer services at 13 public libraries located in Incheon. The study found that there were significant differences in user behavioral reactions in all of the content genre, including message, conflict, and character, and in particular, the character genre had the highest effects, followed by conflict and message genres. However, the post-hoc test indicated that there was no significant difference between the genres of conflict and character in terms of interest, search, and user satisfaction. The present study suggests theoretical implications by assessing and confirming the effects of book trailer services of the content genre on the reactions of user behavior compared with previous studies that measured the effects of the book trailer services of the form genre, and further practical implications for effective book trailer services.

• Journal of the Korean Society for Library and Information Science
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• v.37 no.4
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• pp.295-310
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• 2003

This study used content analysis to examine research methods and trends of the user study articles from 1991 to 2003. Analysis measured research subjects, research method, data collection methods, data analysis methods, hypotheses. The average yearly papers in the case of scholarly journal - 2.8 pieces. The year published the largest number of papers is 2001. The order of the number of papers information behavior, user study, user interface, user education, OPAC use. Used research methods are literature search and survey research, data analysis methods are $X^2$, correlation and T-test.

• Journal of The Korea Institute of Healthcare Architecture
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• v.21 no.2
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• pp.45-53
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• 2015

Purpose: This study is to derive the behavioral characteristics of the users appear in the outpatient department of psychiatry. Methods: By referencing John Zeisel's Tools for environment-behavior research, observation of user behavior and expert interviews as a method of the study has been carried out. Results: The results of this study are as follows. First, adjacent placement among children, youth and regular the outpatient department of psychiatry is necessary and easy access to internal medicine department and family medicine department is required in order to allow cooperated treatments. Secondly, depending on the characteristics of the outpatient department of psychiatry treatment, adjustment of space requirement or the change of kinds of necessary space is required. Third, considering the psychological and behavioral characteristics of mental illness and guardians, various search for the environment that can support this. Implications: This study is a basic research for space improvement and evaluation of the outpatient department of psychiatry, and need to be followed by further study using various perspectives and methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.11
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• pp.3723-3737
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• 2022

Google Play is one of the largest Android phone app markets and it contains both free and paid apps. It provides a variety of categories for every target user who has different needs and purposes. The customer's rate every product based on their experience of apps and based on the average rating the position of an app in these arch varies. Fraudulent behaviors emerge in those apps which incorporate search rank maltreatment and malware proliferation. To distinguish the fraudulent behavior, a novel framework is structured that finds and uses follows left behind by fraudsters, to identify both malware and applications exposed to the search rank fraud method. This strategy correlates survey exercises and remarkably joins identified review relations with semantic and behavioral signals produced from Google Play application information, to distinguish dubious applications. The proposed model accomplishes 90% precision in grouping gathered informational indexes of malware, fakes, and authentic apps. It finds many fraudulent applications that right now avoid Google Bouncers recognition technology. It also helped the discovery of fake reviews using the reviewer relationship amount of reviews which are forced as positive reviews for each reviewed Google play the android app.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.3
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• pp.55-70
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• 2014

Although a significant number of studies have been conducted in user-based relevance criteria, a need for further research still remains. The rational is associated with the following inadequacies: (1) research on young user groups, (2) research on the Web environment with multimedia resources, (3) research on the irrelevance criteria and implications to improve related systems and services. Accordingly, this study identified user - based relevance and irrelevance criteria, examining 40 middle school third grader students who use KERIS Edunet site. The results identified 16 relevance criteria and 8 irrelevance criteria. Major implications related to information system and service improvements.

• Journal of the Korean Society for information Management
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• v.34 no.3
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• pp.89-107
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• 2017

This study aims to compare information seeking behavior of 1300K users on PC and mobile phone. Transaction logs of 1300K, a major Korean shopping search engine, were analyzed. These transaction logs were collected over 1 month period, from April 1 to April 31, 2016. The results of this study show that there are a little more mobile sessions than PC sessions. Users conducted slightly more browsing on PCs than mobile phones, whereas users submitted queries more than two times on mobile phones than on PCs. Users clicked more search results on PCs than mobile phones, whereas users made important decision makings such as product purchases more on mobile phones than PCs. Top queries and categories were similar between PCs and mobile phones. Queries and categories on mobile phones were more focused than queries on PCs. Overall, mobile search behavior is more simple, passive, and focused than PC search behavior. The results of this study can be implemented to the effective improvement and development of search services for different devices.

• Journal of the Korean Society for Library and Information Science
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• v.32 no.4
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• pp.209-225
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• 1998

This research focuses on how users behave when they search by subject using online public access catalog(OPAC). Major findings are as follows. 1)Main access poults are subject field$(55.2\%)$and title field$(42.2\%)$. 2) The search failure rate in subject searching is $59.3\%$. 3) Ma]or reasons for subject search failures are two-fold : use of inappropriate search terms $(48.5\%)$ and non-use of Boolean Operators$(42.5\%)$. 4) In order to overcome search failures users tend to change originally used search terms$(42.0\%)$ and search fields$(33.8\%) into different ones.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.2
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• pp.209-228
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• 2011

Web search behavior has evolved. People now search using many diverse information devices in various situations. To monitor these scattered and shifting search patterns, an improved way of learning and analysis are needed. Traditional web search studies relied on the server transaction logs and single query instance analysis. Since people use multiple smart devices and their searching occurs intermittently through a day, a bundled query research could look at the whole context as well as penetrating search needs. To observe and analyze bundled queries, we developed a proprietary research software set including a log catcher, query bundling tool, and bundle monitoring tool. In this system, users' daily search logs are sent to our analytic server, every night the users need to log on our bundling tool to package his/her queries, a built in web survey collects additional data, and our researcher performs deep interviews on a weekly basis. Out of 90 participants in the study, it was found that a normal user generates on average 4.75 query bundles a day, and each bundle contains 2.75 queries. Query bundles were categorized by; Query refinement vs. Topic refinement and 9 different sub-categories.

• Journal of Korean Library and Information Science Society
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• v.40 no.4
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• pp.139-158
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• 2009

This paper used the network analysis method to analyse a variety of attributes of searcher's search behaviors which was appeared on search access log data. The results of this research are as follows. First, the structure of network represented depending on the similarity of the query that user had inputed. Second, we can find out the particular searchers who occupied in the central position in the network. Third, it showed that some query were shared with ego-searcher and alter searchers. Fourth, the total number of searchers can be divided into some sub-groups through the clustering analysis. The study reveals a new recommendation algorithm of associated searchers and search query through the social network analysis, and it will be capable of utilization.

• Journal of the Korean Society for information Management
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• v.24 no.2
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• pp.29-44
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• 2007

The purpose of this study was to explore whether the concept of amount of invested mental effort (AIME) developed in the field of educational psychology can help explain why people put so little effort into online searching. In this experimental study, two information retrieval systems - a web search engine and a university library system - were used to make a comparison. The data were collected from 15 undergraduate students through background questionnaires, think-aloud protocols, search logs, post-search questionnaires, and post-task interviews. The findings indicate that perception of the web's "easy-ness" and high levels of self confidence in searching capability led the subjects to put less effort into web searching than they do into library system searching. In addition, the perceived difficulty of search task influenced the extent of mental effort invested. The AIME proved a useful framework for understanding search behavior and user experience for both web search engines and library systems.