• Journal of the Korea Safety Management & Science
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• v.15 no.3
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• pp.133-141
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• 2013

As a work analysis technique, Work Domain Analysis (WDA) aims to identify the design knowledge structure of a work domain that human operators interact with through human-system interfaces. Abstraction hierarchy (AH) is a multi-level, hierarchical knowledge representation framework for modeling the functional structure of any kinds of systems. Thus, WDA based on AH aims to identify the functional knowledge structure of a work domain. AH has been used in a range of work domains and problems to model their functional knowledge structure and has proven its generality and usefulness. However, many of researchers and system designers have reported that it is never easy to understand the concepts underlying AH and use it effectively for WDA. This would be because WDA is a form of work analysis that is different from other types of work analysis techniques such as task analysis and AH has several unique characteristics that are differentiated from other types of function analysis techniques used in systems engineering. With this issue in mind, this paper introduces the concepts of WDA based on AH and offers a comprehensive list of references. Next, this paper proposes a set of principles for effectively applying AH for work domain analysis, which are developed based on the author's experiences, consultation with experts, and literature reviews.

• Journal of the Ergonomics Society of Korea
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• v.26 no.4
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• pp.127-133
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• 2007

The purpose of this study is to apply WDA (Work Domain Analysis) for the development of EID (Ecological Interface Design) of vehicle control display. At first, a work domain model on the automobile operation was developed using the AH (Abstraction Hierarchy) which is one of WDA tools. Secondly, information requirements that should be included in vehicle control displays were extracted on the basis of the completed model. The vehicle control information that typical automobiles interface displays currently provide occurred on the low level of the work domain model. This implies that current control displays impose too heavy cognitive workload on automobile drivers. Information requirements that can be included new vehicle control display are also discovered in the high level of the work domain model. The detailed information for EID was not proposed in this study. In the further study, the development of vehicle control display will be deeply conducted, using the results of this study.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.76-82
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• 2006

본 연구는 항공기 관제사의 관제디스플레이에 대한 생태학적 인터페이스 디자인을 적용하기 위한 초기작업으로써 항공기 관제영역에 대한 Work Domain Analysis 를 실시하여 Work Domain Model 을 개발하고 모델에 대한 테스트를 통해 모델의 타당성을 검증하였다. 또한, 완성된 모델을 바탕으로 디자인을 위한 Information Requirement 를 추출함으로써 지금까지 적용해보지 않은 항공기 관제영역에 대한 생태학적 인터페이스 디자인 툴(Tool)의 새로운 적용가능성을 확인하여 추후, 구체적인 관제 디스플레이의 생태학적 개발에 기본 틀을 제공하고자 한다.

• Journal of Families and Better Life
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• v.9 no.2
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• pp.191-207
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• 1991

The purpose of this study is to investigate the degree of socialization of household work and to analyze the influence of demographic and psycho-social variable on socialization of household work. For the purpose of this study, questionnaires were administrated to 314 housewives in Pusan. For the statistical analysis were as follows; 1)The degree of socialization in the domain of food showed significant difference by number of family, number of children, housewife's age, housewife's education, husband's education, income and sex-role attitude. The degree of socialization in the domain of housing showed significant difference by family pattern, housewife's education, husband's education, state of housewife employment. husband's occupation , income and sex-role attitude. The degree of socialization in the domain of clothing showed significant difference by housewife's age, housewife's education, husband's education , state of housewife employment. husband's occupation, income and sex-role attitude. The degree of socialization in the domain of family management showed significant difference by number of children, housewife's age. state of housewife employment, income, period of marriage life and sex-role attitude. The degree of socialization in the domain of home management showed significant difference by housewife's education, husband's occupation, sex-role attitude and share of household work. 2) The socialization in the domain of food was influenced husband's education, income, housewife's education and sex-role attitude. The socialization in the domain of housing was influenced husband's education, income, housewife's occupation and sex-role attitude. The socialization in the domain of clothing was influenced husband's education, income. housewife's occupation and sex-role attitude. The socialization in the domain of family management was influenced husband's education, shave of household work. and sex-role attitude. The socialization in the domain of home management was influenced husband's education, shave of household work, and sex-role attitude.

• Journal of the Ergonomics Society of Korea
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• v.25 no.4
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• pp.103-113
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• 2006

The purpose of this study was to evaluate an effect of the new air traffic control display designed by Ecological Interface Design [EID]. The methodology of EID has not been applied to the development of the air traffic control display so far. To design a new air traffic control display by EID, We implemented Work Domain Analysis about the air traffic control domain and made the Work Domain Model that consisted of the five levels of the Abstraction Hierarchy. We extracted the Information Requirement from the completed Work Domain Model and the extracted information requirements from the model were used to design the new air traffic control display. We evaluated an effect of the new air traffic control display designed by EID. Participants for evaluating consisted of 14 active military air traffic controller of the Republic of Korea Air Force. Experiment was designed two factors within subject. Factors manipulated in the experiment included displays type to compare the existing type with the new ecological interface type and included complexity to compare the effect of the high complex situation with the effect of the low complex situation. Response time about questions with relation to air traffic collision situation, accuracy, and subjective work load were measured. The results reveled that EID type's display has a significant effect on response time, accuracy, and subjective work load and verified that EID could be applied to the air traffic control domain that is more complex and dynamic.

• Journal of the Korean Society for Railway
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• v.13 no.3
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• pp.264-270
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• 2010

This paper presents an application of the Ecological Interface Design (EID) theoretical framework for developing an optimal display of railway safety monitoring system (SMS) in stations. Especially, Work Domain Analysis (WDA) which is the preceding research for EID was conducted. This study proceeds as follows: First, urban railway SMS in stations was defined as a system boundary for WDA, and work environment for station personnels was analysed through Abstraction Hierarchy (AH). AH represents five levels (Functional Purpose, Values and Priority Measures, Purpose-related Functions, Object-related Process, Physical Object) of informations that station personnels obtain from work environment, and Work Domain Model (WDM) was derived as a result of the AH. To confirm how well WDM represents the real work environment of SMS, Scenario Mapping was conducted with experts who has been working as a station personnel for more than ten years. Lastly, thirteen additional information requirements that are not provided by the existing SMS as well as all the information that are provided by the existing SMS were extracted using confirmed WDM. These information requirements can be used as essential information for EID of urban railway SMS.

• Current Optics and Photonics
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• v.2 no.3
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• pp.250-260
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• 2018

A pressure wave created by the photoacoustic effect is affected by the medium and by laser parameters. The effect of these parameters on the generated pressure wave can be seen by solving the photoacoustic wave equation. These solutions which are examined in the time domain and the frequency domain should be considered by researchers in acoustic sensor design. In particular, frequency domain analysis contains significant information for designing the sensor. The most important part of this information is the determination of the operating frequency of the sensor. In this work, the laser parameters to excite the medium, and the acoustic signal parameters created by the medium are analyzed. For the first time, we have obtained solutions for situations which have no frequency domain solutions in the literature. The main focal point in this work is that the frequency domain solutions of the acoustic wave equation are performed and the effects of the frequency analysis of the related parameters are shown comparatively from the viewpoint of using them in acoustic sensor designs.

• 한국IT서비스학회:학술대회논문집
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• 2002.11a
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• pp.425-430
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• 2002

Over the years, several different approaches have been proposed to enhance the practice of software reuse. These approaches vary in reuse abstraction levels or application domains they focus on. However, it seems that they do not adequately meet the needs of software designers in planning and managing reuse. One reason may be the lack of conceptually well-established framework supporting work domain analysis and modeling. As a new viable solution to this problem, Sutcliffe and his colleagues developed Domain Theory , which is introduced in this paper. Utilizing multidisciplinary perspective, such as cognitive psychology, management science, human-computer interaction, and software engineering. it provides a schematic framework that defines a comprehensive library of generic and reusable models of domain knowledge in terms of generic tasks and meta-domains. It also provides useful methods and guidelines for software reuse, emphasizing the concept of abstraction process in a designer s mind. This paper firstly gives a brief overview of fundamentals of software reuse. Next, it explains the foundation of domain theory and discusses its applicability to software reuse. In particular, the taxonomy of meta-domains and the types of generic tasks are described in more detail. Finally, the future research framework, which primarily addresses the problem of how to apply the domain theory to various work domains, is proposed.

• Journal of the Ergonomics Society of Korea
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• v.16 no.1
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• pp.119-126
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• 1997

Most of human factors experiments in nuclear industry domain produe lots of experimental data, thus much time is reauired to analyze the data. DAEXESS was developed to reduce resource demands necessary for the analysis work through systematic data analysis requirements and automated data processing based on computer technology. Physilolgical data, human behavior recording data, system log data and verbal protocl can be collected, synthesized and easily analyzed with with respect to time domain in DAEXESS so that analyser is able to look into inte- grated information on operating context. DAEXESS assists analyser to carry out qualitative and quantitative data analysis easily.

• The Journal of Bigdata
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• v.3 no.2
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• pp.11-18
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• 2018

This study is a study on domain automatic classification for domain - based quality diagnosis which is a key element of big data quality diagnosis. With the increase of the value and utilization of Big Data and the rise of the Fourth Industrial Revolution, the world is making efforts to create new value by utilizing big data in various fields converged with IT such as law, medical, and finance. However, analysis based on low-reliability data results in critical problems in both the process and the result, and it is also difficult to believe that judgments based on the analysis results. Although the need of highly reliable data has also increased, research on the quality of data and its results have been insufficient. The purpose of this study is to shorten the work time to automizing the domain classification work which was performed from manually to using machine learning in the domain - based quality diagnosis, which is a key element of diagnostic evaluation for improving data quality. Extracts information about the characteristics of the data that is stored in the database and identifies the domain, and then featurize it, and automizes the domain classification using machine learning. We will use it for big data quality diagnosis and contribute to quality improvement.