• 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 Digital Convergence
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• v.10 no.2
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• pp.293-297
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• 2012

In order to provide with personalized recommendation service in context-awareness environment, the collected context data should be analyzed fast and the objective of user should be able to inferred effectively. But, the context collected from the mobile devices is not suitable for applying the existing inference algorithms as they are due to the omission or uncertainty of information and the efficient algorithms are required for mobile environment. In this paper, the behavior pattern was classified using naive bayes classification for minimize the loss caused by the omission or error of information. And pattern matching was used to effectively learn of the users inclination and infer the behavior purpose. The accuracy of the suggested inference model was evaluated by applying to the application recommendation service in the smart phones.

• Smart Media Journal
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• v.13 no.2
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• pp.68-84
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• 2024

This paper describes the development of a system and algorithms for high-quality welfare services by recognizing behavior development indicators (activity, sociability, danger) in children aged 0 to 2 years old using action recognition technology. Action recognition targeted 11 behaviors from lying down in 0-year-olds to jumping in 2-year-olds, using data directly obtained from actual videos provided for research purposes by three nurseries in the Gwangju and Jeonnam regions. A dataset of 1,867 actions from 425 clip videos was built for these 11 behaviors, achieving an average recognition accuracy of 97.4%. Additionally, for real-world application, the Edge Video Analyzer (EVA), a behavior analysis device, was developed and implemented with a region-specific random frame selection-based PoseC3D algorithm, capable of recognizing actions in real-time for up to 30 people in four-channel videos. The developed system was installed in three nurseries, tested by ten childcare teachers over a month, and evaluated through surveys, resulting in a perceived accuracy of 91 points and a service satisfaction score of 94 points.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.60-64
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• 2003

Individualization serverces to be persuited in most web sites are not one automated by system but collectivization services provided into several groups with information collected in initial register. Also, as most of the web sites provide individualization services according to environmental setting fitted by each individual, it is hard to offer to provide them with analyzing members by system itself. In this paper, as we store behavior characters of members on web surfing into member database and anlyze them automatically, system itself enables to provide individualization services.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.158-163
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• 2006

유비쿼터스 시스템은 개인화 서비스를 위한 사용자 모델링이 필요하다. 사용자 모델링은 더 정확한 컨텍스트 모델을 만들기 위한 중요한 단계이다. 본 논문에서는 컨텍스트 모델을 기반으로 사용자에게 적당한 서비스를 제공하기 위한 방법을 연구한다. 이를 위해서 우리는 개념 의존(conceptual dependency)을 이용한 온톨로지 기반 컨텍스트 모델링 방법을 제안한다. 이 모델은 관찰된 사용자 행동을 모델링한다. 우리는 사용자 행동을 모델링하기 위해서 개념 의존 이론을 기반으로 컨텍스트 온톨로지를 설계한다. 컨텍스트 모델러는 사용자 행동을 모니터하고 행동을 표현하기 위해 온톨로지 인스턴스를 생성한다. 더 정확한 행동 표현을 위해 본 연구에서는 시간 개념(temporal concept)을 기반으로 시간 추론을 사용하여 컨텍스트 모델을 구축한다. 생성된 시간 컨텍스트 모델은 온톨로지 추론을 이용하여 유비쿼터스 컴퓨팅을 위한 상위 컨텍스트의 추론이 가능하다.

• 한국IT서비스학회:학술대회논문집
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• 2008.11a
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• pp.453-456
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• 2008

소프트웨어와 음악파일, 영화 등의 불법복제로 인한 사회적인 문제가 대두되어 왔다. 온라인디지털콘텐츠의 산업규모와 중요성이 증대되고 있는 시점에서 동일하게 불법복제로 인한 피해규모와 이용자들의 불법복제 행동이 만연해 있다. 이 연구는 계획된 행동이론(TPB)를 통해 개인의 온라인디지털콘텐츠의 불법복제 행동에 대한 모형을 검증하고 불법복제에 영향을 미치는 요인을 검증하고 인과관계를 확인하고자 한다. TPB의 확대모형을 제안하고자 하는데 단속, 교육 및 홍보, 이전경험, 자기효능감이 불법복제 행동의도와 의도에 영향을 미치는 태도와 주관적 규범에 어떠한 영향을 미치는지 검증해보고 한다. 단속과 교육 및 홍보가 개인의 인식과정을 통해 태도와 내적인 자기 규범에 어떠한 영향을 미칠 것인지는 정책적 전략적 시사점을 얻는데 중요한 요인이 될 것이다. 파일럿 테스트 결과 기존 TPB 모형은 온라인디지털콘텐츠 영역에 있어서도 적합한 모델임이 검증되었고, 단속과 교육 및 홍보가 태도와 주관적 규범에 유의한 영향을 미침을 나타내었다.

• Journal of Digital Contents Society
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• v.13 no.3
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• pp.291-299
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• 2012

Ubiquitous computing is a technique to provide users with appropriate services, collecting the context information in somewhere by attached sensor. An intelligent system needs to automatically update services according to the user's various circumstances. To do this, in this paper, we propose a design of context ontology, trigger rule for mining service pattern related to users activity and an active mining architecture integrating trigger system. The proposed system is a framework for active mining user activity and service pattern by considering the relation between user context and object based on trigger system.

• Culinary science and hospitality research
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• v.18 no.2
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• pp.118-133
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• 2012

The purpose of this study is to investigate the relationships of core-self evaluation, service recovery performance, job satisfaction and turnover intention among frontline staff in the Korean hotel industry. In order to examine the proposed hypotheses, descriptive statistics analysis, frequency analysis, confirmatory factor analysis, reliability analysis, correlation analysis and covariance structure analysis were undertaken using SPSS(10.0) and AMOS(4.0) to explore the relationships among variables. The results showed that core-self evaluation had a significantly positive effect on service recovery performance. In addition, service recovery performance had a significantly positive effect on job satisfaction, while there was no evidence of relationship between service recovery performance and turnover intention. Job satisfaction was explored to have a significant negative effect on turnover intention.

• Journal of Korea Multimedia Society
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• v.16 no.9
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• pp.1089-1097
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• 2013

The applications for considering their position and daily patterns of dementia patients have been developed in an early stage even if the older patients who have weaker or serious symptoms has increased in various forms. In this paper, we develop an android-based application which displays positions and pathways of patients on maps and provide messages in the cases of dangerous situations. Guardians need to register schedules including safe areas and personal information of their patients. This system registers behavior status categorized as normal or abnormal each position which is sent to a database. In particular, the deviation status is assigned in case the patients are not within the safe areas that their guardians registered on their schedule. The wandering status is assigned in case the patients are repeatedly passed by their pathways. This smart application contains the modules such as patient position sending, guardian and patient information, patient schedule and safe zone registration, position and behavior status registration, pathway display and message sending, and rescue request. This system sends the notification and alarm service providing normal and abnormal behavior with deviation and wandering status of patients respectively.

• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.440-448
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• 2011

This study is to investigate the impact of hotel service quality and voluntary behavior upon behavior intentions by the actual analysis of four deluxe hotels in Seoul and Incheon. As a research methodology, a statistical package of SPSS 15.0 for window & Path Analysis 7.0 were used with 124 respondents. The empathy of service quality affects the voluntary behavior of the customers composed of three factors. Cooperation out of the voluntary behavior has an effect on the behavioral intentions and the rest of voluntary behavior only influences revisit. Accordingly it suggests that hotel employees should serve the customers with individual care and concern. In addition, it reveals significantly that the empathy is the main factor resulting in voluntary behavior and behavior intentions of the hotel customers.