• Title/Summary/Keyword: 이용자 행태분석

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Interactive Searching Behavior with Elements-Based on XML Documents Retrieval System (엘리먼트 기반 XML 검색 시스템에서의 이용자의 정보 탐색 행태 연구)

  • Jung, Young-Mi
    • Journal of Korean Library and Information Science Society
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    • v.40 no.4
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    • pp.159-176
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    • 2009
  • The aim of this study was to investigate the users' behaviour when interacting with elements based on XML documents retrieval system and develop approaches for XML retrieval which are effective in user-based environment. We followed the experimental guidelines from the INEX 2006 iTrack organizers. For the research goals, 16 responses from the questionnaires per subject and system logs were collected and analyzed using Excel and SPSS 17.0.

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A Study on Public Library Users' Perceptions and Behavior Changes after Using the Theme Display Service (공공도서관의 테마전시 이용에 따른 이용자의 도서관 인식 및 이용행태 변화 연구)

  • Chung, Yoo Ra;Lee, Jee Yeon
    • Journal of the Korean Society for information Management
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    • v.34 no.2
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    • pp.27-45
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    • 2017
  • We investigated the user behavior of the theme display provided by the public libraries as an active information service. Specifically, we wanted to study the library patrons' library use behavior and perception. There were in-depth interviews with seven librarians and eight patrons to develop a set of research questions and the questionnaire. We conducted the survey with 232 patrons then the statistical analysis. The analysis result revealed that the theme display helped the patrons' wider use of the library resources and also positively affected patrons' perception on the librarians as well as the evaluation of the library services. Based on the findings, we recommended the active incorporation of the theme display within the limitation of the libraries' facility and patrons' interests.

A Study on the User Satisfaction and Information Behavior of Information Commons in the National Digital Library of Korea (국립디지털도서관 정보광장 이용자의 만족도 및 이용행태에 관한 연구)

  • Chang, Yunkeum;Lee, Jisu;Lee, Hyeyoung
    • Journal of the Korean Society for Library and Information Science
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    • v.48 no.2
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    • pp.201-220
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    • 2014
  • This study examines user satisfaction and information behavior of information commons in the National Digital Library (NDL) of Korea through survey method. It analyzed service quality factors that affect the overall user satisfaction, and users' information behavior according to the physical spaces/facilities in the information commons. User satisfaction factors were developed to measure library satisfaction in all aspects of the eleven physical spaces/facilities of information commons service, and information behavior on eleven physical spaces/facilities in information commons were explored by users' character. According to survey findings, overall level of user satisfaction was maintained highly since the beginning of NDL. In particular, the facility of 'Productivity Computer Cluster' was ranked highest as 83.8 and the 'UCC Studio' was ranked lowest as 70.8 among the eleven facilities in information commons.

Identifying Daily and Weekly Charging Profiles of Electric Vehicle Users in Korea : An Application of Sequence Analysis and Latent Class Cluster Analysis (전기차 이용자의 일단위 및 주단위 충전 프로파일 유형화 분석 : 순차패턴분석과 잠재계층분석을 중심으로)

  • Jae Hyun Lee;Seo Youn Yoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.6
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    • pp.194-210
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    • 2022
  • The user-centered EV charging infrastructure construction policy the government is aiming for can increase convenience for electric vehicle users and bring new electric vehicle users into the market. This study was conducted to provide an in-depth understanding of the charging behaviors of actual electric vehicle users, which can be used as basic information for the electric vehicle charging infrastructure. Based on charging diary data collected for a week, the charging of electric vehicles was analyzed on a daily and weekly basis, and sequence analysis and latent class analysis were used. As a result, five daily charging profiles and four weekly charging profiles were identified, which are expected to contribute to revitalizing the electric vehicle market by providing key information for decision-making by potential electric vehicle users as well for establishing user-centered charging infrastructure policies in the future.

Analysis of Use Behavior of Urban Park Users Expressing Depression on Social Media Using Text Mining Technique (텍스트 마이닝 기법을 활용한 SNS 상에서 우울감을 언급한 도시공원 이용자의 이용행태 분석)

  • Oh, Jiyeon;Nam, Seongwoo;Lee, Peter Sang-Hoon
    • The Journal of the Korea Contents Association
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    • v.22 no.6
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    • pp.319-328
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    • 2022
  • The purpose of this study was to investigate the relationship between depression due to the COVID-19 pandemic and park use behaviors using on line posts. During the period of the pandemic prevention activities, text data containing both 'park' and 'depression' were collected from blogs and cafes in the search engine of Naver and Daum, then analyzed using Text Mining and Social Network techniques. As a result, the main usage behaviors of park users who mentioned depression were 'look', 'stroll(walk)' and 'eat'. Other types of behaviors were connected centering around 'look', one of the communication behaviors. Also, from CONCOR analysis, as the cluster referred from communication behavior and dynamic behavior was formed as a single behavior type, it was considered park users with depression perceived the park as the space for communication and physical activities. As the spread of COVID-19 caused the restriction of communication activities, the users might consider parks as one of the solutions. In addition, it was considered that passive usage behaviors have prevailed rather than active ones due to the depression. Resulting outcomes would be useful to plan helpful urban park for citizens. It is necessary to further analyze the park use behavior of users in relation to the period of before/after the COVID-19 pandemic and the existence/nonexistence of depression.

A Study on User Information Seeking Behavior of Metasearch System in the Academic Library (대학도서관 이용자의 메타서치시스템 이용행태 연구)

  • Nam, Young-Joon;Yang, Ji-Ann
    • Journal of the Korean Society for information Management
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    • v.27 no.3
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    • pp.307-323
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    • 2010
  • The amount of online scholarly information rapidly expands in numerous resources, while user behavior demands single search box interface like Google Scholar. Despite scholarly values of e-resources libraries provide, users consider Google Scholar as the most efficient research tool attracted by its speed, simplicity, ease of use, and convenience. Characteristics of Metasearch System compared with Google Scholar are analyzed from perspectives of the interface and e-resource. Based on usage statistics of Metasearch System along with a link resolver in one academic library, e-resource accessibility patterns and information seeking behaviors of subject-specific areas are investigated for electronic information services.

Analysis of Space Use Patterns of Public Library Users through AI Cameras (AI 카메라를 활용한 공공도서관 이용자의 공간이용행태 분석 연구)

  • Gyuhwan Kim;Do-Heon Jeong
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.4
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    • pp.333-351
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    • 2023
  • This study investigates user behavior in library spaces through the lens of AI camera analytics. By leveraging the face recognition and tracking capabilities of AI cameras, we accurately identified the gender and age of visitors and meticulously collected video data to track their movements. Our findings revealed that female users slightly outnumbered male users and the dominant age group was individuals in their 30s. User visits peaked between Tuesday to Friday, with the highest footfall recorded between 14:00 and 15:00 pm, while visits decreased over the weekend. Most visitors utilized one or two specific spaces, frequently consulting the information desk for inquiries, checking out/returning items, or using the rest area for relaxation. The library stacks were used approximately twice as much as they were avoided. The most frequented subject areas were Philosophy(100), Religion(200), Social Sciences(300), Science(400), Technology(500), and Literature(800), with Literature(800) and Religion(200) displaying the most intersections with other areas. By categorizing users into five clusters based on space utilization patterns, we discerned varying objectives and subject interests, providing insights for future library service enhancements. Moreover, the study underscores the need to address the associated costs and privacy concerns when considering the broader application of AI camera analytics in library settings.

A Study on the Collection Use of an Academic Library: Focused on the Analysis of Circulation Statistics of the A-Academic Library Users (대학도서관의 자료 이용에 관한 연구 - A대학도서관 이용자의 대출통계 분석을 중심으로 -)

  • Kim, Sun-Ae
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.24 no.4
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    • pp.115-131
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    • 2013
  • The goal of this study is to analyze use patterns of library collections using circulation statistics of academic library user's. For this purpose, the 264,804 circulation-related data of A-academic library which were occurred between March 2012 and February 2013 were collected and used. Five patterns of common user group (undergraduate, graduate students, professors, staffs, the others users) are identified for this study. Gross circulation statistics was analyzed and compared for different users groups and for different subjects. And based on these analysis results, author understood degree of collection use by subject, degree of collection use by user groups, latest materials preference in collection use by subject, latest materials preference in collection use by user groups.

User-oriented Evaluation of NDSL Information Service (국가과학기술전자도서관 이용자 정보요구와 이용 행태 분석)

  • Yoo, Sa-Rah
    • Journal of the Korean Society for Library and Information Science
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    • v.36 no.1
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    • pp.25-40
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    • 2002
  • With the perspective of information management, on-going monitoring of the specified service function is one of the major activities and even critical process. The research consisted of three empirical research questions such as, the current usage and overall user-satisfaction, the quality of the R&D information content and the service, and the problems which have been observed by the actual user group of National Digital Science Library (NDSL). The results of the investigation provided several guidelines that can be utilized for the improvements of the R&D information user service as well as some recommendations for overall optimal administration.

Time Series Analysis of Park Use Behavior Utilizing Big Data - Targeting Olympic Park - (빅데이터를 활용한 공원 이용행태의 시계열분석 - 올림픽공원을 대상으로 -)

  • Woo, Kyung-Sook;Suh, Joo-Hwan
    • Journal of the Korean Institute of Landscape Architecture
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    • v.46 no.2
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    • pp.27-36
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    • 2018
  • This study suggests the necessity of behavior analysis as changes to a park environment to reflect user desires can be implemented only by grasping the needs of park users. Online data (blog) were defined as the basic data of the study. After collecting data by 5 - year units, data mining was used to derive the characteristics of the time series behavior while the significance of the online data was verified through social network analysis. The results of the text mining analysis are as follows. First, primary results included 'walking', 'photography', 'riding bicycles'(inline, kickboard, etc.), and 'eating'. Second, in the early days of the collected data, active physical activity such as exercise was the main factor, but recent passive behavior such as eating, using a mobile phone, games, food and drinking coffee also appeared as a new behavior characteristic in parks. Third, the factors affecting the behavior of park users are the changes of various conditions of society such as internet development and a culture of expressing unique personalities and styles. Fourth, the special behaviors appearing at Olympic Park were derived from educational activities such as cultural activities including watching performances and history lessons. In conclusion, it has been shown that people's lifestyle changes and the behavior of a park are influenced by the changes of the various times rather than the original purpose that was intended during park planning and design. Therefore, it is necessary to create an environment tailored to users by considering the main behaviors and influencing factors of Olympic Park. Text mining used as an analytical method has the merit that past data can be collected. Therefore, it is possible to form analysis from a long-term viewpoint of behavior analysis as well as to measure new behavior and value with derived keywords. In addition, the validity of online data was verified through social network analysis to increase the legitimacy of research results. Research on more comprehensive behavior analysis should be carried out by diversifying the types of data collected later, and various methods for verifying the accuracy and reliability of large-volume data will be needed.