• 대한인간공학회지
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• 제18권3호
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• pp.55-72
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• 1999

Evaluation of user interfaces has to be performed in an intuitive and subjective manner by experts especially when the problem comes to the complexity and consistency of sophisticated interface procedures. The manual analysis and evaluation of logical interfaces also tends to be slow and laborious. To make the evaluation more formal and objective, the criteria and the procedure with which the evaluation can proceed must be explicitly prescribed. Furthermore, to make the formal procedure as practical as subjective expert evaluation, the criteria must reflect the user knowledge of the target tasks since the task knowledge plays the role of a basis for users to understand the interface organizations and procedures. This paper describes ESTIM, a support system for task-based evaluation of user interface, that includes the interface evaluation criteria and implies an evaluation procedure. The support system can be used either in an interactive manner by the analyst during the evaluation or in an automatic evaluation mode. It was verified that the result of automatic evaluation by ESTIM matched the results of expert evaluation fairly well.

• 대한수학교육학회지:수학교육학연구
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• 제16권2호
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• pp.95-113
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• 2006

본 연구는 학교 수학에서 추론 지도의 수준을 보다 상세히 구분해 보고자 한 것이다. 수학의 특징으로부터, 대상에서 분리된 순수한 형식적 관점은 새로운 지식의 창안에서 한계를 지닌다는 점을 알 수 있으며, 수학교육에서도 이를 반영할 필요가 있다고 본다. 이런 점에서 귀납 추론과 형식적 연역 추론의 매개 단계로서 구체적 조작이나 감각 경험과 관련된 직관적 증명의 수준을 설정하는 것이 적절할 것으로 생각되며, 이 수준의 핵심적인 활동은 경험으로부터 일반성을 통찰하는 것이다. 이 수준은 낮은 수준의 귀납 추론보다는 대상과 분리되며 보다 형식적인 논리의 개입을 필요로 하는 과정에 있다. 이와 같이 보다 점진적으로 대상으로부터 분리되고 형식적 논리를 학습할 수 있도록 추론 지도 수준을 구분하고, 이에 따라 수학적 추론을 지도하는 것이 필요할 것이다.

• 대한전기학회논문지:전력기술부문A
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• 제48권6호
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• pp.781-788
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• 1999

In this paper, an expert system is proposed, which can be effectively applied to the large-scale systems with the diversity time constraints, the objectives and the unfixed system structure. The inference scheme of the expert system have the integrated structure composed of the intuitive inference module and logical inference module in order to support effectively the operating constraints of system. The intuitive inference module is designed using the pattern matching or pattern recognition method in order to search a same or similar pattern under the fixed system structure. On the other hand, the logical inference module is designed as the structure with the multiple inference mode based on the heuristic search method in order to determine the optimal or near optimal control strategies satisfing the time constraints for system events under the unfixed system structure, and in order to use as knowledge generator. Here, inference mode consists of the best-first, the local-minimum tree, the breadth-iterative, the limited search width/time method. Finally, the application results for large-scale distribution SCADA system proves that the inference scheme of the expert system is very effective for the large-scale system. The expert system is implemented in C language for the dynamic mamory allocation method, database interface, compatability.

• 제어로봇시스템학회논문지
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• 제15권5호
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• pp.538-542
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• 2009

Industrial manipulators have been mostly used in large companies such as automakers and electronics companies. In recent years, however, demands for industrial manipulators from small and medium-sized enterprises are on the increase because of shortage of manpower and high wages. Since these companies cannot hire robot engineers for operation and programming of a robot, intuitive teaching and playback techniques of a robot manipulator should replace the robot programming which requires substantial knowledge of a robot. This paper proposes an intuitive teaching and playback algorithm used in assembly tasks. An operator can directly teach the robot by grasping the end-effector and moving it to the desired point in the teaching phase. The 6 axis force/torque sensor attached to the manipulator end-effector is used to sense the human intention in teaching the robot. After this teaching phase, a robot can track the target position or trajectory accurately in the playback phase. When the robot contacts the environment during the teaching and playback phases, impedance control is conducted to make the contact task stable. Peg-in-hole experiments are selected to validate the proposed algorithm since this task can describe the important features of various assembly tasks which require both accurate position and force control. It is shown that the proposed teaching and playback algorithm provides high positioning accuracy and stable contact tasks.

• 한국의류학회지
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• 제36권8호
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• pp.837-848
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• 2012

This study examines how the overseas residence experience of Korean consumers influences the relationship of global fashion brand knowledge and brand choice confidence. We contrast two kinds of consumer brand knowledge, using the concepts of Alba and Hutchinson's expertise and familiarity. Considering the effect of positive affect on intuitive information processing, the present study investigated the role of positive affect in consumer brand knowledge and brand choice confidence link. The proposed model was tested with structural-equation analysis. The results show that expertise and familiarity effect the positive affect. Positive affect, in turn, influences brand choice confidence. The results indicate that the processes underlying global fashion brand knowledge and brand choice confidence link are different between the consumers with overseas residence experience for more than a year and the consumers without it. The route from expertise to positive affect has a significant impact on the consumers with overseas residence experience but not on the consumers without it; however, the route from familiarity to positive affect and the path from positive affect to brand choice confidence have a greater impact on the consumers without overseas residence experience than the consumers with it. We find that the consumers with overseas residence experience favor expertise in the process underlying global fashion brand knowledge and brand choice confidence link, whereas the consumers without it favor familiarity and affect based thought.

• 대한수학교육학회지:학교수학
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• 제14권4호
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• pp.579-598
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• 2012

본 연구에서는 직관에 대한 초등 교사들의 '전문화된 내용 지식'(SCK)를 연구하기 위하여, www.mathlove.net에 탑재된 초등기하편 시즌 I의 1번에서 15번까지의 문항 중 문제해결 과정에서 직관이 필요한 8개 문항을 교육 경력이 다양한 8명의 초등 교사들에게 투입한 후, 회수한 검사지를 바탕으로 초등 교사들의 직관 정도를 조사 분석하였다. 연구에서 사용된 문항들을 3가지 유형으로 분류하여 각 유형별로 문항별, 교육경력별로 특징들을 조사하였는데, 연구 결과 1명의 교사를 제외한 나머지 초등 교사들이 문제해결 과정에서 보여준 직관에 대한 SCK는 3가지 유형 모두에서 전반적으로 낮은 것으로 분석되었다.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2009년도 학술대회
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• pp.685-689
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• 2009

진화연산은 최적화와 기계학습에 널리 사용되지만 또한 창조적이고 새로운 것을 만드는 데에도 사용될 수 있다. 본 논문에서는 지식을 표현하는 유연한 구조인 토픽맵에 주목하여, 새롭고 창의적인 토픽맵을 생성하는 토픽맵의 진화 시스템을 제안한다. 여기서는 만들어진 토픽맵이 유효한지에 대한 사람의 평가를 활용하는 대화형 진화 연산 방법(Interactive Evolutionary Computation)이 사용된다. 본 진화하는 토픽맵 시스템은 창의성을 도모하는 도구로서, 사용자들에게 새롭고 창의적인 지식을 떠올릴 수 있도록 도울 수 있을 것이다. 앞으로는 이 시스템에 보다 토픽맵에 정교한 사용자 인터페이스와 시각화 방법을 도입하고 기계학습을 활용하여 시스템의 진화 중에 나타나는 사용자의 피로를 크게 줄이는 방법을 연구할 것이다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1887-1891
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• 2005

Despite significant advances in multimedia transferring technologies in various fields of robotics, it is sometimes quite difficult for the operator to fully understand the context of 3D remote environments from 2D image feedback. Particularly, in the remote control of mobile robots, the recognition of the object associated with the task is very important, because the operator has to control the robot safely in various situations not through trial and error. Therefore, it is necessary to provide the operator with 3D volumetric models of the object and object-related information as well such as locations, shape, size, material properties, and so on. Thus, in this paper, we propose a vision-based human interface system that provides an interactive, information-rich map through network-based information brokering. The system consists of an object recognition part, a 3D map building part, a networked knowledge base part, and a control part of the mobile robot.

• 한국CDE학회논문집
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• 제7권2호
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• pp.110-120
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• 2002

This paper presents the method that allows easy and rapid integration of legacy resources within the company and between departments. The proposed system can easily construct a distributed environment for collaborative design between departments in the companies. It supports knowledge-based integration system, which allows designers to develop product with deep knowledge about product design. For the purpose, DOME (Distributed Object-based Modeling Environment)-which has been developed through various studies-was used in this paper. To overcome its problems and insufficiency, the Web-Integrator is proposed. The Web-Integrator is very suitable for an Internet environment because it uses HTTP (Hyper Text Transfer Protocol) and XML (extensible Markup Language) as its main communication method. By supporting the remote object access via URL (Uniform Resource Locator), the implementation of the integrated system makes the Web-Integrator systematic and intuitive. All the functions and resources provided by DOME could be used with the interface that enables bi-directional communication with the DOME system. Web-Integrator provides full web-based environments for the general designers, who do not have a full design knowledge and experience, and the proposed system allows design operations to happen at any place and anytime. Also it provides XML-RPC(Remote Procedure Call) based web service framework, which allows other systems to use easily the service that the DOME system supplies regardless the location and the platform.

• The Journal of Asian Finance, Economics and Business
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• 제9권4호
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• pp.109-120
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• 2022

This study has incorporated the mechanics-dynamics-emotions (MDE) and two behavioral learning paths to investigate the customers' co-creation behavior in Taiwan. The intuitive path begins with a gamification design that reflects the customers' proactive and innovative behavior; the cognitive path begins with persuasion knowledge remarks based on rational and reactive reasoning. These two paths conclude what forms user co-creation. The study collects data of 505 active social media users in Taiwan and employs structural equation modeling. The empirical findings demonstrate persuasive knowledge and gamification design are significantly associated with self-reference, and in turn, positively associated with co-creation. It indicates that cognitive behavior plays the main role in forming co-creation. Participants are more drawn to co-creation behaviors by the marketing contents that prompt reactive behaviors than proactive ones. Therefore, marketing managers can use appropriate stimuli to enhance co-creation behavior. Companies can design activities related to users, and more accessible for reactive, instead of proactive behavior, i.e., asking for their initiatives. It also suggests that companies' marketing campaigns should involve key opinion leaders matching the product image and the target audience's preferences. The novelty of this study is to introduce a novel augmented MDE framework to extend the "dynamics" into the incubation and implementation stage.