• Journal of the HCI Society of Korea
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• v.13 no.2
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• pp.31-44
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• 2018

In the IoT environment, various things could be connected. Those connected things learn and operate themselves, by acquiring data. As human being, they have self-learning and self-operating systems. In the field of IoT study, therefore, the key issue is to design communication system connecting both of the two different types of subjects, human being(user) and the things. With the advent of the IoT environment, much research has been done in the field of UI design. It can be seen that research has been conducted to take complex factors into account through keywords such as multi-modality and interusability. However, the existing UI design method has limitations in structuring or testing interaction between things and users of IoT environment. Therefore, this paper suggests a new UI prototyping method. In this paper, the major analysis and studies are as follows: (1) defined what is the behavior process of the things (2) analyzed the existing IoT product (3) built a new framework driving personality types (4) extracted three representative personality models (5) applied the three models to the smart home service and tested UI prototyping. It is meaningful with that this study can confirm user experience (UX) about IoT service in a more comprehensive way. Moreover, the concept of the personality of things will be utilized as a tool for establishing the identity of artificial intelligence (AI) services in the future.

• Journal of the Korea Convergence Society
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• v.11 no.1
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• pp.141-150
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• 2020

This paper studies the activities characteristics of the elderly aged 60-75 years old who can take care of themselves in the community public space, and puts forward the design principles of the community public space in the aging society. Using the methodology of experience design, through naturalistic observation, questionnaires, interviews and shadowing, the spatial and temporal characteristics of daily activities of the elderly are analyzed. In the community public space, the behavior of the elderly is essentially a social activity to get more attention and communication. This determines the needs, time, frequency and duration of activities of the elderly in community public space. In the community public space, the behavior of the elderly has the characteristics of long-term and regularity, and its behavior changes slightly with the space, the objective factors that affect the elderly are gender, age and climate. The subjective factors are lifestyle, family members and income level.

• Journal of Internet Computing and Services
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• v.14 no.5
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• pp.87-99
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• 2013

As Internet advances, websites with simpel HTML pages are changing to complex web application systems with enormous contents and various services. With this trend, it is noted that situations where Web accessibility of the old and the handicapped is inhibited are growing. To solve this problem, The Disability Discrimination Act has been enacted since April 2013. This act triggers massive website reorganization efforts. However, in order for the huge and sophisticated web applications and web sites to ensure a web accessibility, a framework is required to throughout the web site development. Based on thorough review of website development methodologies, web accessibility compliance standards, and various web accessibility issues related to website characteristics, this study proposes a practice oriented "Web Accessibility Compliance Framework". The current study also examines the usefulness and value of this framework by applying it to the internet banking development project of W bank and receiving a certificate for high quality website complying web accessibility standards.

• Journal of Service Research and Studies
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• v.13 no.3
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• pp.147-159
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• 2023

This study is a study to develop a model for measurement and processing of experience data, which is emerging as a core value in quality management of medical services. In the theoretical background, a literature study was conducted on the importance of experience in medical service, measurement and processing of experience data, and realization of patient-centeredness. Based on these literature and theoretical background research results, operational definitions were performed for the following four research variables, and statistical tests were conducted. Hypothesis 1 is the effect of measuring experience data from the perspective of three factors on persona modeling, Hypothesis 2 is the effect of persona modeling on service blueprint visualization, Hypothesis 3 is the effect of service blueprint visualization on realization of patient-centeredness, and Hypothesis 4 is persona modeling This is the effect that modeling has on the realization of patient-centeredness. After data-based testing of factor analysis, reliability analysis, and correlation analysis, all four hypotheses were adopted as a result of verification using regression analysis. In conclusion, in an era where it is difficult to recognize the value of having only good medical staff and medical equipment in hospitals, it was possible to grasp the meaning that what kind of medical service experience is continuously obtained is more important to patients than the effectiveness of medical staff and medical equipment. In the era of the service economy, the core of hospital service competitiveness is providing attractive experiences, which is the real strength of hospitals, so the measurement and processing of experience data, which is the subject of this study, will have an important meaning in realizing patient-centeredness and realizing smart hospitals.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.891-899
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• 2009

We need education program and contents that satisfy on-off line's education maximize an initiative spirit development in an absence of UI design for infants and elementary students. For the multiplicity of inflection of these initiative spirit development education program, we need development of contents and teaching materials(Cre-kids) that can educate both in on-line and in off-line. Cre-kids are divided of four areas that are increased fluency, flexibility, originality and delicacy. Four areas are ideas of language, visual, making and computer. Through each area, we can develop children's systematic modeling idea ability. And we divide of fluency, flexibility, originality and delicacy each four areas and evaluate each aspect and mark for index. That is CDQ(Creativity Design Quotient). Through the evaluation result, we will be able to study about a modeling initiative spirit index.

• Journal of Engineering Education Research
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• v.13 no.6
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• pp.180-187
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• 2010

Design and management of information and industrial engineering (DMIIE) is a project-oriented junior/senior class that integrates the methodologies of industrial and information engineering in order to solve real-world problems. It examines social issues, engineering approaches to solve the problems and business models that can generate sustainable value for society. This course help students use their engineering knowledge to assess and solve the problems faced by local community. By conducting real-world projects, students get an opportunity to refine their oral and written communication skills. In this paper, the experience of DMIIE course is presented. The effects of the community-based learning for a senior design course are discussed. The possibility of using this blended type of design course to meet the ABEEK outcomes is also stated.

• Journal of Service Research and Studies
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• v.14 no.3
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• pp.1-18
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• 2024

Recent discussions regarding smart tourism have gained significant momentum in tourism policy and industry; however, knowledge production in this research area remains fragmented and sporadic. This study aims to analyze trends in smart tourism research published in domestic KCI journals up to the end of July 2024 through a systematic literature review, proposing future research tasks to foster academic development. The analysis addresses both the quantitative and qualitative dimensions of smart tourism research, particularly focusing on tourism journals where the terms and concepts are prominent in policy and industry contexts, while also diagnosing the related research paradigms. The findings indicate that the term "smart tourism" began to prominently appear in research titles, topics, keywords, and abstracts as early as 2014. Among the 126 studies analyzed, research related to tourism constituted the largest share, accounting for 30.2%. However, due to the interdisciplinary nature of smart tourism, research has also emerged from various academic fields, including business studies, design, information communication, and computer science. Research on smart tourism has appeared in tourism journals since 2015, predominantly adopting a positivist research paradigm with an emphasis on quantitative methodologies that often utilize surveys. Additionally, the study reveals a pre-paradigm stage within smart tourism research, characterized by insufficient comprehensive conceptual and theoretical development. This stage has also restricted discussions on various ontological, epistemological, methodological, and interpretive issues. The theories mainly employed draw from established behavioral models, such as the Technology Acceptance Model, the Extended Technology Acceptance Model, and the Technology Readiness Model. Based on these findings, the study suggests future research directions for tourism scholars to determine whether smart tourism will solidify as a sustainable research topic or merely be regarded as a transient trend within tourism studies over the next decade.

• Journal of the Korea Society of Computer and Information
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• v.19 no.11
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• pp.115-126
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• 2014

In order to improvement of the perceptive of health state and the motivation, this study suggests the ways and design forms which provide PHR information customizing individual attributes as well as guidelines through a decision support system and services which integrate medical information visualization. Expression methods using the color, form, position in order to visualization based on images improved performance of information awareness by changing radar chart from existing information which provide only numerical figure. The methods providing a graphic figure which seems like beads of blood which shows the result of blood tests would also arise patient's attention. They gives the patient's information which is able to compare their health status and normal status and visualizes the records as a human figure in order to perceiving their status as well. The visualization showing the position of human body figures marks in inspection elements located in position of relevant organs. The method also uses icons represent examination results so they improve attention of the results and shorten recognize times.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.9B
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• pp.1287-1294
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• 2010

The traffic classification is a preliminary and essential step for stable network service provision and efficient network resource management. While a number of classification methods have been introduced in literature, the payload signature-based classification method shows the highest performance in terms of accuracy, completeness, and practicality. However, the payload signature-based method has a significant drawback in high-speed network environment that the processing speed is much slower than other classification method such as header-based and statistical methods. In this paper, We describes various design options to improve the processing speed of traffic classification in design of a payload signature based classification system and describes our selections on the development of our traffic classification system. Also the feasibility of our selection was proved through experimental evaluation on our campus traffic trace.

• Spatial Information Research
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• v.23 no.6
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• pp.109-116
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• 2015

In this study, define the concept of spatial big data and special feature of spatial big data, examine information visualization methodology for increase the insight into the data. Also presented problems and solutions in the visualization process. Spatial big data is defined as a result of quantitative expansion from spatial information and qualitative expansion from big data. Characteristics of spatial big data id defined as 6V (Volume, Variety, Velocity, Value, Veracity, Visualization), As the utilization and service aspects of spatial big data at issue, visualization of spatial big data has received attention for provide insight into the spatial big data to improve the data value. Methods of information visualization is organized in a variety of ways through Matthias, Ben, information design textbook, etc, but visualization of the spatial big data will go through the process of organizing data in the target because of the vast amounts of raw data, need to extract information from data for want delivered to user. The extracted information is used efficient visual representation of the characteristic, The large amounts of data representing visually can not provide accurate information to user, need to data reduction methods such as filtering, sampling, data binning, clustering.