• Journal of the Korean Society for information Management
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• v.29 no.2
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• pp.93-112
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• 2012

This study focuses on the characteristics of information seeking behavior through the casual interactions which are regular contacts with others as information sources in the context of ELIS. Qualitative data were gathered using semi-structured one-to-one interviews with 9 wild-goose mothers in order to investigate the casual interactions. We identified information needs, patterns and characteristics of information seeking behavior through the casual interactions and the major interpretative repertoires.

• Journal of the Korean Society for information Management
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• v.30 no.1
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• pp.71-92
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• 2013

This study compared the everyday-life information behaviors of urban and rural adolescents to suggest ways that school library information services can better meet the information needs of each of these groups. It focused its comparison not only on the everyday-life information-seeking behaviors but also on kinds of information grounds and barriers forming information grounds. Two qualitative methods, written activity logs and semi-structured in-depth interviews, were used to examine everyday-life information behaviors of adolescents. It is expected that the proposed strategies will be used in planning actual school library information services for urban or rural youths.

• Journal of Korean Library and Information Science Society
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• v.36 no.1
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• pp.219-236
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• 2005

This study intends to shed light on the everyday lives of the urban poor in four metro areas in Korea, viewed especially from the information perspective. Employing in-depth interviews and participant observation interchangeably, it attempts to illustrate such phenomena as information poverty, and to scrutinize the reasons of their passive behaviors in information seeking. This paper, specifically, focuses on the following characteristics of information need and information related behaviors of the urban poor : types of everyday concerns and ways to deal with them: characteristics of the help provided: types of information sources consulted : na, barriers and limitation of everyday information seeking and information use.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.243-244
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• 2021

본 논문에서는 한국어 일상대화를 연속적으로 제공하기 위한 서비스 플랫폼을 제안하였다. 본 플랫폼을 통해서 자동으로 일상대화를 수집하고, 정제하고, 학습하여, 사람과 시스템간의 일상대화를 연속적으로 진행할 수 있게 함으로써, 현재 트랜드가 반영된 대화를 실시간으로 수행할 수 있게 되었다.

• Journal of the Korean Society for Library and Information Science
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• v.38 no.3
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• pp.221-248
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• 2004

This study Intends to shed light on the everyday lives of Korean-residents in Japan, especially In terms of their information behavior. Employing survey method and In-depth Interviews interchangeably, it attempts to illustrate some features In their information need and seeking pattern, and to scrutinize major reasons of their passive behavior In information seeking. Specifically discussed are (1) their types of everyday concerns and ways to deal with such concerns; (2) types and characteristics of the problems-solving behavior; (1) types and characteristics of the preferred information sources; and, barriers to and limitation of thew everyday information seeking and Information use.

• Journal of Korean Library and Information Science Society
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• v.37 no.4
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• pp.443-462
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• 2006

This study intends to portray the everyday lives of the urban poor in Busan metro area, especially in terms of the information perspective. Employing basic qualitative data collection tools such as interviews and participant observation, the study attempts to illustrate such phenomena as information needs and behaviors, and to scrutinize the reasons of particular behaviors in information seeking and gathering. This paper, specifically, focuses on the following characteristics of information need and information-related behavior of the urban poor; types of everyday concerns and ways to cope with such concerns; types of the help providers; characteristics of information channels of everyday information seeking and information gathering. The role that interpersonal sources play in their everyday lives, has been emphasized in reality of their information environment along with information needs and information related behaviors including information gathering and information seeking.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.10
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• pp.781-785
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• 2009

We can constantly gather personal life log from developed mobile device. However, gathered personal life log in mobile environment have a large amount log and uncertainty such as uncertainty of mobile environment, limited capacity and battery of mobile device. Tagging task using a landmark such as a key word should be required to overcome the above problem and to manage personal life log. In this paper, we propose new tagging method and a life log tagging interface using high level context recognizer based on probability. The new tagging method extract high level context such as landmark of life log using recognizer which is modeled from bayesian network and recommend recognized high level context to user using tagging interface. Finally user can directly do tagging task to life log. This task is a special feature in our process. As the result of experiments in task support level which include usability, level of a goal, function and leading, we achieved a feeling of satisfaction of 81%.

• Journal of KIISE
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• v.43 no.7
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• pp.781-785
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• 2016

Learning from human behaviors in the real world is essential for human-aware intelligent systems such as smart assistants and autonomous robots. Most of research focuses on correlations between sensory patterns and a label for each activity. However, human activity is a combination of several event contexts and is a narrative story in and of itself. We propose a novel approach of human activity prediction based on event cognition. Egocentric multi-sensor data are collected from an individual's daily life by using a wearable device and smartphone. Event contexts about location, scene and activities are then recognized, and finally the users" daily activities are predicted from a decision rule based on the event contexts. The proposed method has been evaluated on a wearable sensor data collected from the real world over 2 weeks by 2 people. Experimental results showed improved recognition accuracies when using the proposed method comparing to results directly using sensory features.

• Informatization Policy
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• v.29 no.2
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• pp.91-105
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• 2022

This study investigates the effects of different types of digital informatization (i.e. access, skill, utilization) on life satisfaction. The mediation effects of the outcome of digital device use between digital informatization and life satisfaction are also tested. The '2020 Survey on the Digital Divide' conducted by the National Information Society Agency was referenced for empirical analysis. The findings show that in general, digital informatization contributes to improving life satisfaction. In addition, the outcome of digital device use mediates the positive relationship between digital informatization and life satisfaction. However, the magnitudes of the effects of digital informatization and mediation effects differed according to the types of digital informatization. This study supports the necessity and justification for a digital informatization policy and provides valuable information that helps establish and promote digital informatization policies. In addition, this study helps to understand the determinants of the third-level digital divide information by examining the relationship between digital informatization and the outcome of digital device use.

• KIISE Transactions on Computing Practices
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• v.23 no.5
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• pp.284-292
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• 2017

With the development of Internet of Things (IoT) technology, the combination of ICT and medical services has been increasing to improve the quality of medical services. Using the IoTs, we can collect personal health information continuously in a patient's everyday life. We expect that this will improve the quality of medical service through analysis. However, the problem of ensuring the protection of personal information within the personal health information has been hampering the research, development, and application of such services. Other problems include lack of IoT devices and lack of user convenience for collecting health information about a patient's everyday life. Therefore, in this study, we construct a daily health information management service that can collect the health related information at any time and store this data in personal storage. This data is then only provided to the healthcare worker when necessary. We built a test bed for an IoT-based smart home platform and are currently conducting user experiments. Based on the results of this study, we are attempting to provide a high quality medical trial service based on daily health information through linkage with medical device manufacturers, medical clinics, insurance companies, etc. We expect the proposed health information management service will contribute to the revitalization of smart health care services via activating various health related IoT devices and analyzing daily health information.