• Journal of Society of Occupational Therapy for the Aged and Dementia
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• v.12 no.2
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• pp.97-106
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• 2018

Objective : The purpose of this study was to investigate the effects of reminiscence therapy using mind map to improve cognitive function, depression index, quality of life for old woman with dementia. Method : The study were 14 patients who were diagnosed with a woman suspected of dementia. They were randomly assigned to Study group(N=7) and control group(N=7). All patients received only to Study groups. reminiscence therapy using mind map was composed to 10 sessions, 40 minutes per sessions, 2 times a week, for 5 weeks. For result analysis, descriptive statistic, Wilcoxon signed rank test, and Mann-Whitney U test were used. The evaluation tools were Mini-Mental State Examination Korean Version (MMSE-K), Korean Version of Beck Depression Inventory (K-BDI), Korean Version of the World Health Organization Quality of Life Scale Abbreviated Version (WHOQOL-BREF). Result : There was a significant difference in cognitive function, depression index, and quality of life in the within group after intervention, and there was a significant difference in cognitive function in the between group comparison. Conclusion : According to the results of study, an easing effect was confirmed regarding reminiscence therapy using mind map for an old woman with dementia. using reminiscence therapy using mind map when applied to the improvement of cognitive function, depression index, quality of life.

• Science of Emotion and Sensibility
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• v.1 no.2
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• pp.81-91
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• 1998

운전자의 안전과 감성적 요구사항이 중요시 되는 차세대 자동차의 IP(Instrument Panel) 설계를 위해 운전자으 인지특성을 고려하였다. 오디어 유닛과 HVAC(Heat, Ventilation and Air Condition)등의 주요 IP 구성요소 설계에 중점을 두었으며, 운전자의 인지특성과 가장부합하는 형태의 IP를 도출하기 위해 인지실험을 실시하였다. 첫 번째로, 기존의 차량에 설계된 IP 궁성요소를 분석하였으며, 이를 바탕으로 버튼의 수와 배열, LCD패널의 위치등을 조합하여 총 16개의 IP 프로토타입을 제작하였다. 다음으로, 제작된 프로타입을 각각 0.2, 0.4, 0.6초의 간격으로 Tachisto scope를 이용하여 피실험자에게 제시한후, 인간의 인지 지도(Human cognitive Map)에 근거한 '그리가 방법(Drawing Method)'을 이용하여 그들의 단기기억(Short-term Memory)상의 정보를 주어진 답안지에 그리도록 하였다. 이 인지실험의 다구찌 분석을 통하여 운전자의 인지특성을 고려한 최적의 IP형태를 제시하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1156-1158
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• 2015

본 연구는 기업의 전략 의사결정(Strategic Decision-Making) 실무에 빅데이터를 활용하기 위한 방안으로 하둡-맵 리듀스(Map Reduce)를 통해 처리한 데이터를 이용해 퍼지 인식도(Fuzzy Cognitive Map)의 인과 행렬을 작성하고, 작성된 퍼지 인식도를 활용하는 경영 의사결정 방법과 의사 결정 지원 시스템(DSS: Decision Support System)을 제안한다. 제안을 위해 관련 연구 및 개념, 퍼지 인식도를 기반으로 하는 의사결정 지원 시스템과 제안한 시스템이 갖는 장점, 그리고 퍼지 인식도 기반 의사결정 지원 시스템의 실제 활용 가능성에 대해서 실험을 통해 검증한 내용을 담고 있다.

• Journal of the Korea Society for Simulation
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• v.3 no.2
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• pp.37-47
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• 1994

This paper examines the use of fuzzy cognitive maps to help understand manufacturing strategy processes. This technique is illustrated through a case study of a manufacturing strategy formulation. Advantages of fuzzy cognitive maps are highlighted by comparing the level of understanding before and after the technique was used. The merit from the use of fuzzy cognitive maps for manufacturing strategy formulation is also discussed. (Manufacturing Strategy Formulation, Fuzzy Cognitive Map, Strategy Process Model, Feedback)

• Korean System Dynamics Review
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• v.2 no.1
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• pp.51-68
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• 2001

Politicians are competing to persuade their policies and to oppose other's. Policy persuasion is based on two independent reasons; moral causes vs. economic outcomes. There have been few studies on investigating and comparing their structural differences. This paper studies how policy makers use moral causes and economic outcomes in persuading their policies. Causal and cognitive structures of persuasions for and against sunshine policy are compared by cognitive map analysis. Finally, this study discusses how to use causal map analysis to understand moral causes and economic outcomes as tools for policy persuasion.

• Journal of Intelligence and Information Systems
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• v.5 no.2
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• pp.79-97
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• 1999

Knowledge management (KM) is emerging as a robust management mechanism with which an organization can remain highly intelligent and competitive in a turbulent market. Organization knowledge is at the heart of KM success. As a vehicle of acquiring organizational knowledge in a distributed decision-making environment, we applied a fuzzy cognitive map (FMM) technique and proved its effectiveness in a distributed knowledge management environment. Our approach was applied to the financial statement analysis problem, yielding a robust result.

• Journal of Educational Research in Mathematics
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• v.14 no.3
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• pp.239-266
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• 2004

This article presents new perspectives for analysing and diagnosing students' mathematical errors on the basis of Pascaul-Leone's neo-Piagetian theory. Although Pascaul-Leone's theory is a cognitive developmental theory, its psychological mechanism gives us new insights on mathematical errors. We analyze mathematical errors in the domain of proof problem solving comparing Pascaul-Leone's psychological mechanism with mathematical errors and diagnose misleading factors using Schoenfeld's levels of analysis and structure and fuzzy cognitive map(FCM). FCM can present with cause and effect among preconceptions or misconceptions that students have about prerequisite proof knowledge and problem solving. Conclusions could be summarized as follows: 1) Students' mathematical errors on proof problem solving and LC learning structures have the same nature. 2) Structures in items of students' mathematical errors and misleading factor structures in cognitive tasks affect mental processes with the same activation mechanism. 3) LC learning structures were activated preferentially in knowledge structures by F operator. With the same activation mechanism, the process students' mathematical errors were activated firstly among conceptions could be explained.

• The KIPS Transactions:PartB
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• v.15B no.2
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• pp.147-158
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• 2008

Fuzzy Cognitive Map (FCM) and Bayesian Belief Network (BBN) are two major frameworks for modeling, representing and reasoning about causal knowledge. Despite their extensive use in causal knowledge engineering, there is no reported work which compares their respective roles. This paper aims to fill the gap by providing a qualitative comparison of the two frameworks through a systematic analysis based on some inherent features of the frameworks. We proposed a set of comparison criteria which covers the entire process of causal knowledge engineering, including modeling, representation, and reasoning. These criteria are usability, expressiveness, reasoning capability, formality, and soundness. The results of comparison have revealed some important facts about the characteristics of FCM and BBN, which will help to determine how FCM and BBN should be used, with respect to each other, in causal knowledge engineering.

• Korean Journal of Cognitive Science
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• v.25 no.1
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• pp.25-49
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• 2014

Advertisement for one type of product competes against another type using different advertising strategies. It is important to know which factors influence people's perception of the message within the advertisement and their formation of attitudes towards the advertisement. Using multidimensional scaling, this study investigated what main factors were important when people perceive beverage advertisements on TV. A positioning map was constructed based on similarity ratings of 14 drink advertisements. We examined the meaning of the three dimensions of the positioning map by asking a different group of participants to rate on components of attention, attitudes toward advertisements and products, and intention to purchase the product in each advertisement. It was found that three dimensions in the map was attention to content, color, and motion respectively. More importantly, the attentional component to content was related to the attitude of affection and action toward a beverage introduced in advertisement. These results suggest that content-based attention in advertisements induces a positive attitude toward the advertisements.

• Korean System Dynamics Review
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• v.1 no.2
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• pp.91-111
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• 2000

Causal maps or cognitive maps have been widely used to get insights for complex systems or decision makers. When insights come from the system behavior rather than its structure, we need simulation of causal maps and cognitive maps. In this paper, a method for directly converting causal maps and cognitive maps into stock-flow diagrams that can be simulated in computers in proposed. This method is called as NUMBER. NUMBER is an abbreviation for 'Normal Unit Modeling By Elementary Relationship'. In this paper, NUMBER is applied to a cognitive map of policy maker to show its usefulness.