• Korean Journal of Cognitive Science
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• v.30 no.1
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• pp.31-50
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• 2019

The present study is designed to investigate the effect of perceptive, emotional and semantic distinctiveness on retrieval-induced forgetting(RIF). Experiment 1 was designed to construct a category and category list for RIF experimental paradigm and to investigate the effects of perceptual distinctness on retrieval-induced forgetting. It was used for the list consisting of the six categories and six words in each category list. In controlled conditions, all the stimuli were presented in black and Gothic. In contrast, perceptual distinctiveness conditions, half of the category list were presented in red and Gungseoche. RIF was observed in all conditions. Experiment 2 was designed to investigate the effects of semantic and emotional distinctiveness on retrieval-induced forgetting. In neutral conditions, adjectives related to items were added. In the emotional distinctiveness condition, half of the items in the category were manipulated in such a way as to add the negative adjectives. In the semantic distinctiveness condition, half of the items in the category were manipulated in such a way as to add the inappropriate adjective. As a result, RIF occurred in the neutral condition, but RIF did not occur in both the emotional discrimination condition and the semantic discrimination. These results suggest the possibility that the RIF will not occur when the distinctiveness occurs within a categorical relationship.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.364-366
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• 2001

문서 범주화는 전자 정보환경에서 매우 유용한 정보처리 도구로서, 다양한 문서 범주화 기법 및 성능향상을 위한 연구들이 지속적으로 이루어지고 있다. 그러나, 대부분의 연구들은 문서 범주화의 대상이 되는 단어 자질 공간의 차원축소 문제에만 집중되었을 뿐, 학습단계에 큰 영향을 미치는 다범주 단어 자질의 범주 모호성은 고려하지 않았다. 본 연구에서는, 다범주 자질의 범주 모호성을 해소함으로써 문서 범주화의 성능향상을 유도하는 범주 모호성 해소 가중치 W를 제시하고 이를 실험을 통해 증명하였다. 실험에서는 Naive Bayes 분류기와 가중치 W를 적용한 Naive Bayes-W 분류기를 직접 구축하여 문서 범주화의 성능향상 여부를 비교하는데 사용하였다. 도출된 실험결과를 통해, 가중치 W는 현재의 분류기가 가지고 있는 자질 표현의 범주 모호성이라는 단점을 보완하고 분류기의 성능향상을 유도함으로써 정보검색시스템의 검색효율을 높이는 데 활용될 수 있음일 증명되었다.

• Proceedings of the Korea Association of Information Systems Conference
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• 1997.10a
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• pp.217-233
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• 1997

정보시스템계획을 수립할 때 발생하는 많은 문제들은 성공적인 정보시스템의 구축 에 장애요인이 되고 있다. 본 연구는 정보시스템계획 문제에 영향을 미치는 요인들을 살펴 보고 정보시스템계획과정상의 범주, 정보시스템의 전략적 역할상의 범주로 나누었다. 또한, 각 범주와 관련한 요인들이 정보시스템계획문제를 감소시키는데 있어 어떤 영향을 미치는가 를 살펴보기 위한 이론적 모형을 제시하였으며 이들 요인데 대한 전략적 방안을 제시하기 위해 몇 가지 가설을 제시하여 추후 실증분석을 위한 토대로 마련하였다.

• Korean Journal of Cognitive Science
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• v.32 no.2
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• pp.55-73
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• 2021

Psychological essentialism states that people believe some categories to have hidden and defining essential features which cause other features of the category (Gelman, 2003; Hirschfeld, 1996; Medin & Ortony, 1989). Essentialist belief on categories questions the Roschian argument (Rosch, 1973, 1978) that categories merely consist of clusters of correlated features. Unlike family resemblance categories, essentialized categories are likely to have clear between-category boundaries and high within-category coherence (Gelman, 2003; Prentice & Miller, 2007). Two experiments were conducted to test the effects of essentialist belief on category representation (i.e., between-category boundary, within-category coherence). Participants learned family resemblance and essentialized categories in their assigned conditions and then performed categorization task (Expt. 1) and frequency estimation task of category exemplars (Expt. 2). The results showed, in essentialized categories, both boundary intensification and greater category coherence. Theses results are likely to have arisen due to increased cue and category validity in essentialized categories and suggest that essentialist belief influences macroscopic representation of category structure.

• Science of Emotion and Sensibility
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• v.24 no.1
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• pp.59-72
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• 2021

Concepts and categories offer the basis for inference pertaining to unobserved features. Prior research on category-based induction that used blank properties has suggested that similarity between categories and features explains feature inference (Rips, 1975; Osherson et al., 1990). However, it was shown by later research that prior knowledge had a large influence on category-based inference and cases were reported where similarity effects completely disappeared. Thus, this study tested category-based feature inference when features are connected in a causal chain and proposed a feature inference model that predicts participants' inference ratings. Each participant learned a category with four features connected in a causal chain and then performed feature inference tasks for an unobserved feature in various exemplars of the category. The results revealed nonindependence, that is, the features not only linked directly to the target feature but also to those screened-off by other feature nodes and affected feature inference (a violation of the causal Markov condition). Feature inference model of causal model theory (Sloman, 2005) explained nonindependence by predicting the effects of directly linked features and indirectly related features. Indirect features equally affected participants' inference regardless of causal distance, and the model predicted smaller effects regarding causally distant features.

• Korean Journal of Cognitive Science
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• v.16 no.1
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• pp.53-67
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• 2005

Present study identified categorization pattern differences between experts and novices and examined whether categorization training has positive effects on problem solving. In experiment I, we examined categorization differences between groups according to expertise using mathematical equation problems. Experts classified problems based on deep structure related to problem solution methods whereas novices classified problems based on surface features. However, in the labeled categorization condition, novices' categorization pattern was not different from experts'. These results suggest that novices have difficulty identifying deep structure of problems. In experiment 2, we examined whether categorization training showing subjects deep structure of problems explicitly increases transfer performance. The results showed that solution training was more effective to expert group whereas categorization training was more effective to novice group. We have discussed that different training methods should be applied according to expertise.

• Korean Journal of Construction Engineering and Management
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• v.13 no.5
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• pp.84-93
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• 2012

Most of the studies on reduction of buildings' environmental burden in the construction industry have been focused on carbon dioxide emission, although there are various kinds of environmental issues such as global warming, acidification, and etc. which are considered by many researchers. Therefore, this study defined and suggested six impact categories and the principles to assess each impact for the assessment of comprehensive environmental impacts of buildings. The six impact categories are abiotic depletion, global warming, ozone layer depletion, acidification, eutrophication, and photochemical oxidation. A case study has been conducted through comparative analysis of two structural design alternatives to confirm the necessity of assessing the six impact categories. That is, the results of global warming potential and the six impacts proposed in this study were compared. By comparing the results of only global warming potential, the second design alternative using 24MPa concrete was chosen as a better alternative, while the first design alternative using 21MPa concrete was resulted as a better alternative when six impact categories were considered. The results mean that the assessment of various environmental impacts is an appropriate and reasonable approach and the comprehensive assessment offers more reliable results of environmental impacts in the building construction.

• Annual Conference on Human and Language Technology
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• 2003.10d
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• pp.14-17
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• 2003

문서의 확률을 이용하여 자동으로 문서를 분류하는 문서 범주화 기법의 대표적인 방법이 나이브 베이지언 확률 모델이다. 이 방법의 기본 형식은 출현 용어의 확률 계산 방법이다. 하지만 실제 문서 범주화 과정에서 출현하지 않는 용어들도 성능에 많은 영향을 줄 수 있으며, 출현 용어들에 대한 빈도 이외의 역범주 빈도나 용어가중치를 적용하여 문서 범주화 시스템의 성능을 향상시킬 수 있다. 본 논문에서는 나이브 베이지언 확률 모델에 출현 용어와 출현하지 않는 용어들에 대한 smoothing 기법을 적용하여 실험하였다. 성능 평가를 위해 뉴스그룹 문서들을 이용하였으며, 역범주 빈도와 가중치를 적용했을 때 나이브 베이지언 확률 모델에 비해 약 7% 정도 성능 개선 효과가 있었다.

• Asia Marketing Journal
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• v.13 no.4
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• pp.1-27
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• 2012

Extending the findings of Rajagopal and Burnkrant (2009), this research examines the moderating role of consumers' goals (i.e., head category-relevant goal vs. modifier category-relevant goal) in the effects of two different interpretation strategies (i.e., relational interpretation vs. property interpretation) on product beliefs and attitudes toward hybrid products. In the current research, we make two predictions. First, we predict that both head category and modifier category beliefs will be higher under property interpretations than under relational interpretations in the modifier category-relevant goal priming conditions, whereas there will be no significant differences between each product category beliefs across the two interpretation conditions in the head category-relevant goal priming conditions. Second, we predict that attitudes toward hybrid products will be higher under property interpretations than under relational interpretations in the modifier category-relevant goal priming conditions, whereas there will be no significant differences between the attitudes toward hybrid products across the two interpretation conditions in the head category-relevant goal priming conditions. These predictions are tested and confirmed in two experiments. Finally, we discuss theoretical and practical implications of our findings and develop directions for future research.

• Korean Journal of Culture and Social Issue
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• v.12 no.4
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• pp.55-75
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• 2006

Most previous research on impression formation has been examined the effects of various informations exclusively within a category, either social category or individual characteristic. The present research examined and compared the priming effects of social category information (we and other) versus personality information (warm and cold) on impression formation. In Study 1, participants primed subliminally with combinations of social category and personality information (we/warm, we/cold, other/warm, and other/cold) were asked to rate faceial pictures on the good-bad and likable-dislikable dimensions. The analysis revealed only the significant main effects of social category information but not any effects of personality information on both the impression dimensions. In Study 2 in which participants were primed with either social category or personality information exclusively, priming of social category information influenced the judgments of likable-dislikable dimension and that of personality information influenced the judgments of good-bad dimension. These results suggest that personality information influences impression in general even though its impacts may be overwritten by social categorical information. The findings were discussed with its implication of everyday's impression formation and the cultural psychological perspectives.