• Proceedings of the Korea Society of Design Studies Conference
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• 2005.05a
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• pp.6-7
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• 2005

• Journal of Korean Library and Information Science Society
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• v.18
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• pp.245-268
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• 1991

Some conclusions derived from the study are as follows : 1) Most conventional information retrieval systems require users do precisely that specify the information they require, but user's information needs are not always precise. 2) Information need arise from when users are in an anomalous stats of knowledge about some problem, so user's information needs are not always precise. 3) Information retrieval systems must assist to users make themselves correct, complement, and specify their information need. When information need arise, systems should understand the state of knowledge and will be design to present and specify their ill-defined potential information need. 4) Existing information retrieval techniques need a tool to complement current its disadvantages and to enhance retrieval efficiency. Browsing searching will be a role such as a tool. 5) Browsing searching can understand user's state of knowledge and assist to specify not only pre-searching information need but also changed information need during searching progress.

• Asia pacific journal of information systems
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• v.11 no.2
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• pp.23-55
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• 2001

It is generally agreed that realizing the full potential of the internet shopping mall(ISM) requires careful identification of customer needs and expectations. However, a quantitative framework to explain and predict users' behavior toward ISM has not been well established because the research on the user acceptance of ISM is still in its infancy. This study proposes a model which uses factor analysis to identify factors of ISM characteristics and individual characteristics affecting user acceptance of ISM. Predictive models based on the multiple regression analyses select the factors and their interactions with individual characteristics that significantly influence user acceptance. Results show that five factors including economy, convenience, credibility, reliability, information risks, and performance risks affects user acceptance. In addition, individual differences in terms of innovativeness, playfulness, and recreational shopping traits have both direct and interaction effects on user acceptance. The implication of this study is that, although user attitudes towards ISM characteristics in general are important to their acceptance behavior, the level of importance depends upon different user groups.

• Journal of Korea Artificial Intelligence Association
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• v.2 no.1
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• pp.1-6
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• 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.

• Smart Media Journal
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• v.9 no.4
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• pp.73-80
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• 2020

With the advent of the Internet era, consumer lifestyles have been changed tremendously, and mobile payment has carried out an increasingly extensive coverage of the people's life trajectory. Taking the design of the mobile payment interface as an example, we use a conjoint analysis method to survey college students in Guangxi, where questionnaires are collected from 270 people in different groups according to gender. The method separates the attributes that affect consumer choice of mobile payment interface design and the utility value of the attribute level to analyze consumer needs and preferences, and then obtains consumers' potential evaluation criteria for mobile payment interface design. The results of the study show that the attributes that influence consumers' choice of mobile payment interface design are, in order of preference: page layout, identification convenience, verification, module distribution, entertainment, and information encryption. Consumer groups of different genders show differences in their preferences in the mobile payment interface design and Consumer needs reflect consumer psychology. Several findings are obtained on the consumers' preferences on the mobile payment interface design, which may be used to improve future design processes.

• Journal of Information Technology Applications and Management
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• v.16 no.2
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• pp.79-98
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• 2009

IPTV has risen as a new driving force amid concerns against the saturated internet market and gained enormous attention of both the government and industry as niche market. Especially, IPTV banking which is one of the major services, IPTV has risen up recently as another financial service channel. Prior to the expansion of the new technology, this study attempts to predict its success possibility. In order to grasp variables that would effect formation of user intention of potential adopters, and external variables that influence user intention of IPTV banking have been confirmed and studied empirically based on Technology Acceptance Model(TAM). As a result, it was validated that self?efficacy, facilitating condition, social influence, and perceived importance to TV banking needs are the influential variables. Therefore, one may able to find appropriate direction of marketing activities for effective expansion of IPTV banking service through this study. Also, considering the fact that the number of service users has absolute influence over profit determination in the IPTV banking service industry, the study about characteristics and intention of such potential adopters could certainly be significant.

• Proceedings of the Korean Institute of Interior Design Conference
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• 1999.04a
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• pp.98-101
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• 1999

In the last several decades of 20 century, the user oriented design concept has evolved in more concrete ways, producing POE and UPD(User Participated design). These concepts are ways of achieving the fit between built environments and human needs. These, technique in the digital world has implied and promoted lots of experimental ways to interact with possible users before the construction stages in the design process to reduce the results, stemming from ineffective planning and designing. The purpose of this paper is to show an evaluation technique in the design cycle. An actually designed child care facility was evaluated before construction by potential users. For this purpose, focused group interview was employed.

• Journal of Internet Computing and Services
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• v.25 no.2
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• pp.79-92
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• 2024

ChatGPT, as a representative chatbot leveraging generative artificial intelligence technology, is used valuable not only in scientific and technological domains but also across diverse sectors such as society, economy, industry, and culture. This study conducts an explorative analysis of user sentiments and needs for ChatGPT by examining global social media discourse on Reddit. We collected 10,796 comments on Reddit from December 2022 to August 2023 and then employed keyword analysis, sentiment analysis, and need-mining-based topic modeling to derive insights. The analysis reveals several key findings. The most frequently mentioned term in ChatGPT-related comments is "time," indicative of users' emphasis on prompt responses, time efficiency, and enhanced productivity. Users express sentiments of trust and anticipation in ChatGPT, yet simultaneously articulate concerns and frustrations regarding its societal impact, including fears and anger. In addition, the topic modeling analysis identifies 14 topics, shedding light on potential user needs. Notably, users exhibit a keen interest in the educational applications of ChatGPT and its societal implications. Moreover, our investigation uncovers various user-driven topics related to ChatGPT, encompassing language models, jobs, information retrieval, healthcare applications, services, gaming, regulations, energy, and ethical concerns. In conclusion, this analysis provides insights into user perspectives, emphasizing the significance of understanding and addressing user needs. The identified application directions offer valuable guidance for enhancing existing products and services or planning the development of new service platforms.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.35 no.4
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• pp.193-200
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• 2019

Maintenance services provided to users in buildings are not sufficient simply to provide them, but it is necessary to provide them with a service system that can accurately identify and respond to users' needs. This study analyzed the relationship between user satisfaction with the helpdesk service corresponding to the building claim and the quality of service of the maintenance organization to identify the interaction between the user and the maintenance organization in the building. We then examined whether there were significant differences between the buildings in terms of variables in the helpdesk service that affect the user's satisfaction. It was also presented as a measure of the quality of service of the SERVQUAL tool to assess the potential for building maintenance response strategies. Research shows that each building has a helpdesk service item that is significant in user satisfaction and empathy has emerged in a typical dimension as SERVQUAL dimension.

• Journal of Information Science Theory and Practice
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• v.10 no.1
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• pp.73-88
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• 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.