• 반도체디스플레이기술학회지
• /
• 제21권1호
• /
• pp.56-61
• /
• 2022

The purpose of this study is to provide a cultural and artistic content guide service that can provide customized guides according to the disability status of the disabled who consume cultural and artistic contents. It is designed to provide a more individualized service through user input of disability information including the type and degree of disability of the disabled, the type of cultural and artistic content desired by the disabled, and information on the cultural and artistic level of the disabled. In addition, it is not limited by time and place, and it has the distinction of providing appreciation of cultural and artistic contents and commentary information of the corresponding cultural and artistic contents in various ways on the application. In particular, to provide cultural and artistic contents differently by identifying the type or degree of disability of the user, or to provide cultural and artistic contents with different expertise in consideration of the user's cultural level and taste, and to improve the cultural level. The most special feature is that it provides recommended content in consideration of the difficulty of art content. User analysis was conducted through in-depth interviews and persona techniques. As a result of the analysis, the needs for the enjoyment of culture and arts are also increasing among the disabled, while the services that reflect those needs are very insufficient. Therefore, all interviewees stated that they are willing to actively utilize these services if they are released. In the future, it is necessary to increase the accessibility of the disabled to culture and arts by developing various services using new ICT technologies.

• 한국비블리아학회지
• /
• 제27권1호
• /
• pp.291-312
• /
• 2016

본 연구의 목적은 대학도서관에서 이용자의 연구를 지원하는 정보서비스를 활성화하기 위하여 이용자 특성과 요구에 기반 한 정보서비스 개발에 도움이 될 수 있는 기초자료를 제시하는데 있다. 본 연구는 탐험적인 연구로써 실제 이용자를 대상으로 정보서비스 전 과정을 조사 분석하였다. 이용자와 정보제공자 사이의 면담과정과 정보서비스에 대한 정보제공자의 관점에 의하면, 이용자 정보 및 주제 분석, 효과적인 면담방법, 커뮤니케이션 기술, 정보제공자의 정보서비스에 대한 인식 및 핵심능력이 효과적인 정보서비스의 중요한 요소임을 나타내었다.

• Journal of Information Science Theory and Practice
• /
• 제10권1호
• /
• pp.73-88
• /
• 2022

This exploratory study aims to understand the potential of log data analysis and expand its utilization in user research methods. Transaction log data are records of electronic interactions that have occurred between users and web services, reflecting information-seeking behavior in the context of digital libraries where users interact with the service system during the search for information. Two ways were used to analyze South Korea's National Digital Science Library (NDSL) log data for three days, including 150,000 data: a log pattern analysis, and log context analysis using statistics. First, a pattern-based analysis examined the general paths of usage by logged and unlogged users. The correlation between paths was analyzed through a χ² analysis. The subsequent log context analysis assessed 30 identified users' data using basic statistics and visualized the individual user information-seeking behavior while accessing NDSL. The visualization shows included 30 diverse paths for 30 cases. Log analysis provided insight into general and individual user information-seeking behavior. The results of log analysis can enhance the understanding of user actions. Therefore, it can be utilized as the basic data to improve the design of services and systems in the digital library to meet users' needs.

• 문화기술의 융합
• /
• 제6권3호
• /
• pp.437-442
• /
• 2020

인터넷이라는 혁신적인 정보기술의 도래 이후, 정보 환경의 다이너미즘(dynamism)은 정보 이용자들의 니즈 및 행태에 있어서의 변화를 초래하였다. 이러한 급변하는 환경의 정보 이용자들에 대한 이해는 필수적이며, 이를 기초해서 정보서비스와 이를 위한 시스템을 효과적으로 구축하여 운영할 필요가 있다. 본 연구의 목적은 과학기술정보서비스시스템 이용자의 세분화(segmentation)에 따른 특성을 이해하고 콘텐츠 이용실태 조사·분석을 통하여 맞춤형 서비스와 콘텐츠 개발에 대한 개선사항을 도출함에 있다. 총 816명의 과학기술정보서비스시스템 이용자들이, 지난 9월부터 11월까지, 온라인 설문조사에 참여하였다. 수집된 데이터는 요인 분석과 클러스터 분석 기법을 적용하여, 이용자를 세분화하고 새로운 정보기술과 정보서비스에 대한 인식, 과학기술정보 니즈, 그리고 이용자들이 중요하게 생각하는 과학기술 속성 등을, 세분화된 이용자그룹에 따른 결과를 도출하였다.

• Fashion, Industry and Education
• /
• 제15권1호
• /
• pp.12-28
• /
• 2017

In the era of social media, marketers have struggled to understand and serve participants' diverse and multifaceted needs in a novel form of online brand community in the social-networking sites such as Facebook. Thus, this study identifies different groups of participants affiliated with Facebook brand pages based on their needs for brand connection. The need-based segments are validated by comparing results across foodservice and consumer goods. Results of cluster analysis reveal three distinct segments (i.e., residents, lurkers, and peepers) based on participants' functional, experiential, and incentive needs. Results of multivariate analysis of variance illustrate significant differences in relational tendencies for a brand of interest among these three groups. The three groups are profiled based on participants' engagement level. Findings of this study are expected to help marketers better understand the needs of diverse participants in their SNS-embedded brand community so they can develop tailored communication strategies for targeted groups.

• 정보관리학회지
• /
• 제38권2호
• /
• pp.305-336
• /
• 2021

본 연구는 대학도서관의 서비스 개발을 위해 대학을 둘러싼 환경에 대한 인식에 기반하여 이용자가 가진 정보요구와 정보행위를 탐색하였다. 질적 데이터의 내용분석 결과, 심층면담 참여자들은 사회, 교육, 연구 환경의 변화를 경험하면서, '적합성, 최신성, 고유성, 신뢰성, 현장성, 편의성'의 6가지 특성을 띠는 심층적 정보요구를 갖고 있었다. 참여자들은 정보요구를 해결하기 위해 정보매체와 인적자원, 그리고 장소매체를 활용하고 있었다. 이러한 정보행위를 수행하는 가운데, 참여자들의 신분이나 주제분야, 소속대학을 뛰어넘어 공통적으로 겪고 있는 정보문제로서 '개개인의 미디어·정보활용역량 차이, 대학간 자원인프라 격차, 저작권과 소통채널의 문제' 등을 발견하였다. 이에 본 연구는 대학도서관서비스 방향성으로 '개인화된 미디어·정보리터러시 서비스, 정보요구 특성에 부합하는 장소매체로서의 도서관, 인적교류장소로서 자원인프라플랫폼, 접근성 높은 정보매체 활용지원 서비스'를 제시하였다.

• 한국도서관정보학회지
• /
• 제49권1호
• /
• pp.173-191
• /
• 2018

지난 10년간 국내 도서관계에서는 도서관의 장애인서비스 관련 환경이 크게 개선되었다. 관련 법안이 마련되고, 시설과 설비가 확대되고, 관련 장서와 프로그램의 수가 증가하였다. 그럼에도 불구하고 장애인의 도서관 이용 비율이 증가추세에 이르지 못하고 있다. 본 연구는 기존 연구를 분석하여 장애유형별 이용 요구를 분석하였으며, 이용자 면담과 전문가 델파이 연구를 통해 이용자들의 도서관 서비스에 대한 핵심요구를 파악하였다. 이용자들은 자원의 양적 확대와 함께 질적 확대, 개별화된 서비스와 프로그램 제공, 시설 편의성 증대, 웹과 어플리케이션의 접근성 향상, 전문적인 인력 배치 등을 요구하였다.

• 한국병원경영학회지
• /
• 제25권1호
• /
• pp.1-12
• /
• 2020

Purposes: The aim of this study is to evaluate whether the contents of hospital reservation and reception applications(apps) are qualitatively useful in meeting the needs of medical consumers and improving hospital accessibility and convenience. Methodology: (1) identify consumer needs through social data web mining, (2) describe the status of key contents of mobile apps to improve accessibility and convenience of care, and (3) verify the quality of apps through validated tools Finding: The contents of 'mobile reservation function' and 'waiting time information provision' that can contribute to reduction of delay time of care and efficiency of desk work were supported, but the level of utilization was insufficient. The quality level of the app, including the level of consumers' needs, has shown a wide gap between the apps. Implications: The recent development of mobile apps for hospital accessibility and consumer needs has shown a wide gap in the quality of apps, including information and aesthetic. Therefore, it is necessary to develop apps based on user interface(UI), user experience(UX) based designs that can promote the usefulness and convenience of apps while monitoring needs of consumers continuously.

• Journal of Korea Artificial Intelligence Association
• /
• 제2권1호
• /
• pp.1-6
• /
• 2024

In this paper, we develop an AI-based recommendation system that matches the specifications of smartphones from company 'S'. The system aims to simplify the complex decision-making process of consumers and guide them to choose the smartphone that best suits their daily needs. The recommendation system analyzes five specifications of smartphones (price, battery capacity, weight, camera quality, capacity) to help users make informed decisions without searching for extensive information. This approach not only saves time but also improves user satisfaction by ensuring that the selected smartphone closely matches the user's lifestyle and needs. The system utilizes unsupervised learning, i.e. clustering (K-MEANS, DBSCAN, Hierarchical Clustering), and provides personalized recommendations by evaluating them with silhouette scores, ensuring accurate and reliable grouping of similar smartphone models. By leveraging advanced data analysis techniques, the system can identify subtle patterns and preferences that might not be immediately apparent to consumers, enhancing the overall user experience. The ultimate goal of this AI recommendation system is to simplify the smartphone selection process, making it more accessible and user-friendly for all consumers. This paper discusses the data collection, preprocessing, development, implementation, and potential impact of the system using Pandas, crawling, scikit-learn, etc., and highlights the benefits of helping consumers explore the various options available and confidently choose the smartphone that best suits their daily lives.

• 품질경영학회지
• /
• 제42권3호
• /
• pp.339-360
• /
• 2014

Purpose: The objective of this paper was to analyze the requirements of the end-users by class after carrying out a survey on the user requirements for sleeping bags and utilize the result for effective product development. Methods: The test for difference in means by class was conducted through one sample analysis and one-way ANOVA after the survey result has gone through a reliability verification, and an LSD (Least Significant Difference) test was conducted as a post-mortem method. Results: A significant result was derived from the survey on the user requirements for sleeping bags by method of use, use of combination of sleeping bag components or a sleeping bag alone. Conclusion: The significant result derived from the survey of this paper on the user requirements for sleeping bags can be utilized for effective development of sleeping bags.