• Information Systems Review
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• v.23 no.3
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• pp.201-223
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• 2021

Smart home is an advanced Internet of Things (IoT) service that enhances the convenience of human daily life and improves the quality of life at home. Recently, with the emergence of smart home products and services to which artificial intelligence (AI) technology is applied, interest in smart home is increasing. To gain a competitive edge in the smart home market, companies are providing "personalized service" to users, which is a key service that can promote smart home use. This study investigates the factors affecting the value awareness of personalized service and intention to use smart home. This research focuses on four-dimensional motivated innovativeness (cognitive, functional, hedonic, and social innovativeness) and privacy risk awareness as key factors that influence the value awareness of personalized service of smart home. In particular, this study conducts a comparative analysis between the generation MZ (young people in late teens to 30s), who are showing socially differentiated characteristics, and the generation X and baby boomers in 40s to 50s or older. Based on the analysis results, this study derives the distinctive characteristics of generation MZ that are different from the older generation, and provides academic and practical implications for expanding the use of smart home services.

• IEMEK Journal of Embedded Systems and Applications
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• v.3 no.4
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• pp.198-206
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• 2008

Internet protocol television (IPTV), one of the most emerging services, offers multimedia streaming services with security, reliability, and relevant quality of service (QoS)/quality of experience (QoE). It provides added values to all the involving players and also brings technical and business challenges to them. For IPTV services, we expect to adopt the next generation network (NGN) environment for high quality and the Web technologies for personalization to meet the customer's necessity. Web can provide an open, flexible, and agile platform. Therefore, in this paper, we propose personalized IPTV services based on Web-based open platform in NGN environment and present functional architecture for Web-based personalized IPTV services. Technical issues for deploying the proposed IPTV services using Web are also provided. The objective of this paper is to analyze the critical architectural issues for developing viable and feasible networking platform models for personalized IPTV services.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.242-248
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• 2004

Personalized reminder systems have to identify the user's current needs dynamically and proactively based on the user's current context. However, need identification methodologies and their feasible architectures for personalized reminder systems have so far been rare. Hence, this paper aims to propose a proactive need identification mechanism by applying agent and semantic web technologies and RFID-based context subsystem for a personalized reminder system, which is one of the supporting systems for a robust ubiquitous service support environment. We have created a prototype system, RFID-based NAMA (Need Aware Multi-Agent), to demonstrate the feasibility of the methodology and of the mobile settings framework that we propose in this paper. NAMA considers the context, user profile with preferences, and information about currently available services, to discover the user's current needs and then link the user to a set of services, which are implemented as web services.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.359-368
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• 2005

Personalized reminder systems have to identify the user's current needs dynamically and proactively based on the user's current context. However, need identification methodologies and their feasible architectures for personalized reminder systems have been so far rare. Hence, this paper aims to propose a proactive need awaring mechanism by applying agent, semantic web technologies and RFID-based context subsystem for a personalized reminder system, which is one of the supporting systems for a robust ubiquitous service support environment. Rescorla-Wagner model is adopted as an underlying need awaring theory. We have created a prototype system. called NAMA(Need Aware Muiti-Agent)-RFID. to demonstrate the feasibility of the methodology and of the mobile settings framework that we propose in this paper Moreover, to test if the proposed system works in terms of scalability, a simulation was performed and the results are described.

• Journal of Korean Society of Archives and Records Management
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• v.10 no.2
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• pp.7-29
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• 2010

This study aims to design and implement RSS-based archival information service system for activating online-based archival information circulation and providing personalized archival information services. To achieve the goals, XML document formats and database schema for four selected items are designed and implemented. Also, an performance of the implemented service system is evaluated to with a general web browser.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.311-317
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• 2016

In a smart commerce market, customers are seeking customized shopping services optimized for personal tastes and customized shopping experiences based on customers' tastes. Accordingly, individually customized services are needed more than anytime now. According to this demand, companies provide messaging services to the consumer, but do not include a personalized service for each individual. The purpose of this study is to combine the techniques of personalized services with messaging services and presents system construction plan and integrated model system for corporate messaging services and thereby possible are maximizing marketing effects and analyzing effects of cost savings. Applying the operation of the integrated model is proposed and message transmission scheme through effective personalization can be applied to personalized model using the personalized information according to customers' requirements. The integrated model of personalization on this study is expected to be highly effective when combined with the search service.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.441-447
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• 2017

In order to provide personalized services on the Web and for mobile services, it is necessary to collect and analyze information processed by users. Typically, information collected by users is managed online. Using information collected online may be sufficient to provide personalized service. However, in terms of O2O services, which are currently mixed with online and offline services, user information from the offline service can also be an important part of personalized service. Therefore, this study suggests an architecture to collect offline user information to provide more precise personalization services. The collection architecture includes Node Analyzer, Distance Checker, Holding Time Checker, and Cross Analyzer as core elements. This study also offers proposals for processing algorithms of key components that make up the proposed architecture. A case study collects user information of interest based on BLE in order to verify the proposed architecture and algorithms.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.44 no.1
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• pp.38-53
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• 2007

Nowadays, as it goes on digitalization of the broadcasting and the convergence of the broadcasting and communications , it has been developed into the ubiquitous individual media consuming pattern which can easily and comfortably consume the favorite contents through any devices at anytime and/or anywhere. For this, in this paper, we propose personalized broadcasting service that can provide a convenient access of the contents that users want to watch at anytime by considering the user preference and consumption characteristics as well as an efficient browsing and watching of the particular program segments more advanced than the data broadcasting services. Moreover, it is implemented the TV-Anytime standard based on personalized broadcasting terminal platform by us. The developed services and terminal will used on broadcasting environment in which many services and the contents. The result of that is the broadcasters/service providers and content providers can provide differential broadcasting services which is suitable to each user such as personalized broadcasting service in near future.

• Korean Journal of Community Nutrition
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• v.18 no.1
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• pp.65-76
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• 2013

The purpose of this study was to investigate the effects of a nutrition education and personalized lunch service program in a senior welfare center. A total of 30 elderly (14 males, 16 females) aged 62~89 years participated in this study. Nutrition education lessons (2 hour/lesson/week) were provided for 4 weeks. Also, ten weeks from week 3rd to week 12th, personalized lunch providing 1/3 personal needed energy was served 5 times for a week. After the nutrition intervention program, we compared anthropometric characteristics, blood biochemical characteristics, nutrition knowledge, dietary attitude and dietary intake using 24 hr recall with those before the intervention. The body weight (p < 0.001) and body mass index (BMI) (p < 0.001) were decreased. There were significant increases in score of nutrition knowledge (p < 0.01) and consumption of milk & milk products for snacks. There was a positive effect on fasting blood sugar (FBS) showing significant decreases in portion of impaired fasting glucose and diabetes mellitus (p < 0.05). Also, serum triglyceride (TG) was significantly decreased (p < 0.05). In evaluation of nutrient intake by Dietary Reference Intakes for Koreans (KDRIs), riboflavin (p < 0.01), vitamin C (p < 0.001), calcium (p < 0.05) were positively improved. The index of nutritional quality (INQ) and intakes of vitamin C (p < 0.001), riboflavin (p < 0.05), Ca (p < 0.01) and Fe (p < 0.05) were increased. In conclusion, this nutrition education and lunch service program providing 1/3 personal needed energy can be used to develop and implement a tailored nutritional intervention programs in the setting of a community senior welfare center to improve health and nutritional status of Korean elderly.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.7
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• pp.738-742
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• 2008

The user model is an indispensable factor for providing users with personalized. services in the ubiquitous computing environment. In general user models, services which users prefer should be described in advance so that the system can recognize and interpret them automatically. Also, user's preferences as to the change of situation are not reflected in general user models due to their ignoring the situation. In this paper, we propose the self-growing user model which learns user experience and the system which automatically provides personalized community services through extracting user preferring services by situation.