• Journal of the Korea society of information convergence
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• v.7 no.2
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• pp.1-5
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• 2014

In this study, the smartphone features and service quality to analyze the effects of immersion. Smartphone attribute convenience, entertainment, and a ubiquity. The quality of service is composed of interactivity and personalization. Empirical analyzed. Results of the characteristics entertaining smartphone has a significant impact on both the affective commitment and normative commitment. Ubiquity have had a significant effect on normative commitment. Personalization of service quality has a significant impact on affective commitment and normative commitment. Entertainment and of smartphone features, let's highlight of the personalization of service quality. Emotionally can increase the normative commitment.

• Journal of the HCI Society of Korea
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• v.4 no.1
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• pp.11-15
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• 2009

Social Network Service has been extremely popular these days and providing diverse features and functions to users. Social networking and interest sharing in between users are key factors of SNS and this circles back to draw more users to the service. Web is the first media to provide SNS and mobile is the next. The service based on mobile environmental uniqueness such as Location-based-service(LBS) is the key success factors to convert users to web SNS to mobile SNS. TV has also been a possible SSN market to draw users to share interests and participation. However TV has been always community electronics in family members and personalization to provide SNS has been barrier to overcome. In this study, we explorer ideas of key factors of personalization in TV environment and conducted a field study to define characteristics of TV personalization in terms of depth, method, style and structure. Research finds out that there are significant differences in these categories.

• Journal of the Korean Society for information Management
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• v.20 no.4 s.50
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• pp.113-134
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• 2003

With SDI service provided in libraries and information centers traditionally, this paper studies component technologies and structure of system platform in PIS(personalization information service based on the customized information service served currently in some institutions. The PIS system should provide relevant information as an output through the learning system analyzing user information searching behavior as an input value with personal profile information. To do it, this paper studies requirements and algorithms to develop PIS, and proposes learning system and recommendation system as core components in PIS.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.263-270
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• 2020

The growth of the mobile app markets has made it popular among people who recommend relevant information about restaurants. The recommendation service app based on AI Chatbot is that it can efficiently manage time and finances by making it easy for restaurant consumers to easily access the information they want anytime, anywhere. Eating out consumers use smartphone applications for finding restaurants, making reservations, and getting reviews and how to use them. In addition, social attention has recently been focused on the research of AI chatbot. The Chatbot is combined with the mobile messenger platform and enabling various services due to the text-type interactive service. It also helps users to find the services and data that they need information tersely. Applying this to restaurant recommendation services will increase the reliability of the information in providing personal information. In this paper, an artificial intelligence chatbot-based smartphone restaurant recommendation app using personalization information is proposed. The recommendation service app utilizes personalization information such as gender, age, interests, occupation, search records, visit records, wish lists, reviews, and real-time location information. Users can get recommendations for restaurants that fir their purpose through chatting using AI chatbot. Furthermore, it is possible to check real-time information about restaurants, make reservations, and write reviews. The proposed app uses a collaborative filtering recommendation system, and users receive information on dining out using artificial intelligence chatbots. Through chatbots, users can receive customized services using personal information while minimizing time and space limitations.

• The Journal of Information Systems
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• v.32 no.2
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• pp.63-85
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• 2023

Purpose According to a recent survey, more than 90% of customers make purchase or use decisions for their products and services, primarily based on word-of-mouth(WOM) information (reviews, recommendations, ratings, etc.). However, few studies have explored what factors influence user's WOM intention in the context of OTT service. To address this gap, this study investigates the antecedent factors of WOM intention by adopting stimulus-organism-response (SOR) theory and pleasure arousal dominance (PAD) theory as a theoretical basis. Design/methodology/approach The research model consists of stimulus factors (diversity of original content, aesthetics, interactivity, personalization quality), emotional factors (pleasure, excitement, dominance), and behavioral factor (WOM intention). The research hypothesis was tested using the survey data collected from OTT service users of 305. Findings The result reveals that diversity of original content significantly affects on pleasure and arousal whereas it is not associated with dominance. Findings indicate that aesthetics positively influences pleasure, and interactivity is not associated with arousal. It is also proven that personalization quality has a positive effect on dominance. In addition, pleasure, arousal, and domination are proven to be positively and significantly related to WOM intention.

• Journal of the Korean Operations Research and Management Science Society
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• v.34 no.2
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• pp.15-34
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• 2009

Today the u-government services are becoming more personalized and intelligent. For the successful implementation of personalization, individual user's privacy concerns must be respected and taken care of. Based on the empirical survey results, this research summarizes the reluctance to the government's use of private information using six categories. We measure user's psychological distance toward e-government using the four levels, adopting the suggestions by the Proxemics. Since a positive correlation is Identified between people's psychological Intimacy toward e-government and their tolerance to the use of private Information, the amount and/or types of private information should be sequentially used in personalization systems. Initially allowing the least intolerable private information such as occupation information, the personalization system should additionally use the next tolerable Information such as health information or service request/interest information, as user's psychological distance toward government services becomes shorter.

• Journal of Information Technology Services
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• v.9 no.2
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• pp.21-42
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• 2010

As digital convergence and mobile services evolve, personalization becomes one of the most important factors attracting customers. Personalization means functions offering individually customized services with relevant contents using information on individual preferences. This sort of personalized services has attracted great attention of a large part of online firms. One of representative services of such personalized services is a mobile widget service. In this study, we identified seven antecedents affecting the quality of personalized mobile widget services and empirically investigated which antecedent has a significant effect of the quality of personalized mobile widget services. In addition we carried out empirical investigation into the effect of the quality of personalized mobile widget service on user satisfaction and trust. As a result of this research, we revealed that seven variables including information services affected components of personalized services, and usefulness and perceived benefit as components of personalized services affected user trust and satisfaction for personalized services.

• Journal of Multimedia Information System
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• v.3 no.4
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• pp.111-118
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• 2016

Today, the proliferation of various mobile devices, such as smart phones and tablet PC, brought changes in the existing TV viewing behavior. People use smart devices as secondary device while watching TV. Researches on a wide range of services linked with second-screen devices around the smart TV in the home network have been actively conducted. While there exist several Web-related technologies for connections between devices, specialized techniques for a second screen service are quite insufficient. There are still some problems related to the display of contents from multiple devices and the efficient transfer of these contents. Considering the characteristics of broadcasting systems In this study, we focus on a second screen service that permits a dynamic transfer of contents by connecting a television (TV) with mobile devices. Here, we propose a second screen service model to enable the personalization of TV contents by combining the existing broadcasting and Web-related techniques.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.6
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• pp.700-711
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• 2011

The purposes of the study were to identify the online service attributes that contribute to online consumer experiences of satisfaction, service failure, and service recovery and to examine whether differences exist in these attributes between U.S. and Korea. E-A-S-QUAL provided a useful framework for the study. Focus group interviews and web surveys were conducted by utilizing college students in both countries. No significant cultural differences were found in online service dimensions of service satisfaction. Personalization was the most frequently mentioned online service dimension of service satisfaction both in the U.S. and Korea. The findings showed significant cultural differences in terms of online service dimensions responsible for service failure and recovery. For Korean consumers, merchandising was one of the key online service dimensions of service failure, while efficiency was the important service dimension resulting in service failure for the U.S. consumers. In addition, for U.S. consumers, efficiency and personalization were the two most frequently mentioned service dimension for service recovery, while Korean consumers put more importance on the contact and information dimensions for service recovery. This study provided a comprehensive list of online service attributes important to online apparel retailing.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.5
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• pp.871-883
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• 2018

This study tests consumer responses to online product recommendation service offered by a website. A product recommendation service refers to a filtering system that predicts and shows items that consumers would like to purchase based on their searches or pre-purchase information. The survey is conducted on 300 people in an age group between 20 and 40 years in a panel of an online survey firm. Data are analyzed using confirmatory factor analysis and structural equation modeling by AMOS 20.0. The results show that personalization quality does not have a significant effect on trust, but relationship quality and technology quality have a positive effect on trust. Three types of quality of recommendation service also have a positive effect on commitment. Trust and commitment are factors that increase service usage intentions. In addition, this study reveals the moderating effect of light users vs heavy users based on online shopping time. Light users show a negative effect of personalization quality on trust, indicating that they are likely to be uncomfortable to the service using personal information, compared to heavy users. This study also finds that trust vs commitment is an important factor increasing service usage intentions for heavy users vs light users.