• Korean Journal of Cognitive Science
• /
• v.10 no.3
• /
• pp.1-15
• /
• 1999

Based on known physiological and psychophysical results, a neural network model for visual selection, called FeaureGate is proposed. The model consists of a hierarchy of spatial maps. and the flow of information from each level of the hierarchy to the next is controlled by attentional gates. The gates are jointly controlled by a bottom-up system favoring locations with unique features. and a top-down mechanism favoring locations with features designated as target features. The present study focuses on the top-down mechanism of the FeatureGate model that produces results similar to Moran and Desimone's (1985), which many current models have failed to explain, The FeatureGate model allows a consistent interpretation of many different experimental results in visual attention. including parallel feature searches and serial conjunction searches. attentional gradients triggered by cuing, feature-driven spatial selection, split a attention, inhibition of distractor locations, and flanking inhibition. This framework can be extended to produce a model of shape recognition using upper-level units that respond to configurations of features.

• Korean Journal of Cognitive Science
• /
• v.14 no.2
• /
• pp.1-13
• /
• 2003

We introduce a way to generate morphologically and syntactically well-formed English sentences when building Korean to English bilingual dictionary for Machine Translation Systems. It has been proved that basic inflectional or structural descriptions for English sentences are by no means enough to generate proper English sentences because of traditional dictionary structures. Furthermore, much research has been focused only on how to disambiguate semantic ambiguities of words in a bilingual dictionary To take advantage of existing paperback Korean to English bilingual dictionary, its automatic conversion to an electronic version and methodologies to assign proper features to the descriptions for well-formed English sentences with minimum human effort have been proposed on the basis of the dictionary-specific structures. This approach was originally motivated for a glossary-based machine translation system, but it can be also applied to large scale dictionary work.

• Korean Journal of Cognitive Science
• /
• v.19 no.2
• /
• pp.107-123
• /
• 2008

The existing studies of a dialogue system can be classified into two major parts. One is a study for a practical system, and the other is a study to understand a principal of dialogue phenomena. The former focuses on robustness in real environment for dialogue systems. However, it cannot guarantee its performance in complicated dialogue environment. The latter has studied as the plan-based model typically. It has strong points that it can reflect complex dialogue phenomena and can infer user's intention in various situations. However, an initial design of this model is so complicated, and it is difficult for this model to be extended to the interaction model for response generation in a practical dialogue system. This paper proposes a new dialogue modeling using plan recognition and a discourse stark to effectively generate response in a practical dialogue system.

• Science of Emotion and Sensibility
• /
• v.17 no.2
• /
• pp.63-76
• /
• 2014

Although most behavioral reaction times (RTs) for cognitive tasks exhibit positively skewed distributions, the majority of studies primarily rely on a measure of central tendency (e.g. mean) which can cause misinterpretations of data's underlying property. The purpose of current study is to introduce procedures for describing characteristics of RT distributions, thereby effectively examine the influence of experimental manipulations. On the basis of assumption that RT distribution can be represented as a convolution of Gaussian and exponential variables, we fitted the ex-Gaussian function under a maximum-likelihood method. The ex-Gaussian function provides quantitative parameters of distributional properties and the probability density functions. Here we exemplified distributional analysis by using empirical RT data from two conventional visual search tasks, and attempted theoretical interpretation for setsize effect leading proportional mean RT delays. We believe that distributional RT analysis with a mathematical function beyond the central tendency estimates could provide insights into various theoretical and individual difference studies.

• Journal of Korea Game Society
• /
• v.11 no.6
• /
• pp.103-113
• /
• 2011

In this paper, we propose gesture recognition based 3D Serious Games to prevent dementia. These games are designed to enhance the effect of preventing dementia by helping increase brain usage and physical activities of users by the entire body gesture recognition. The existing cameras used for gesture recognition technology are limited in terms of recognition ratio and operation range. For more stable recognition of the body gestures, we recognized users with a 3D depth camera, obtained joint data of users, and analyzed joint motions to recognize gestures of the body. Game contents were designed to practice memory, reasoning, calculation, and spatial recognition focusing on the atrophy of brain cells as a major cause of dementia. Game results of each user were saved and analyzed to measure how their recognition skills improved.

• Journal of Digital Convergence
• /
• v.11 no.11
• /
• pp.1-13
• /
• 2013

Every big online security breach seems to end in a big lecture. Thus, although a predominant weakness in properly securing information assets is the individual user within an organization, much of the focus of extant security research is on technical issues. The purpose of this study is to explain why insiders breach security policy by applying the moral disengagement theory. There are no consistent, widely accepted theories or theoretical frameworks in the literatures as to why insiders breach of information security, and therefore no clear, effective guidance on what to do to prevent employees from violating information security policy in organization. To do this, we theorize that moral disengagement may play a mediating role connecting stable individual differences to intention to breach security policy, because of some of the individual differences. We found that policy awareness and perceived punishment have a negatively significant effect on moral disengagement. However, negative affectivity has a positively significant influence on moral disengagement. Furthermore, moral disengagement has a positive effect on intention to breach security policy. Conclusions and implications are discussed.

• Journal of Digital Convergence
• /
• v.11 no.11
• /
• pp.509-519
• /
• 2013

The purpose of this study was to identify the factors related to awareness, treatment, and control of hypertension in Korea using data from the 4th KNHANES. The analytical technique employed multivariate logistic regression analysis and the major findings of this research are as follows. First, awareness of hypertension was positively associated with age, occupation, self-rated health, Body Mass Index, and health examination since 2 years ago, in both males and females. Second, treatment of hypertension was positively associated with age, self-rated health, Body Mass Index, and health examination since 2 years ago, in both males and females. Third, control of hypertension was positively associated with age, self-rated health, Body Mass Index, and health examination since 2 years ago, in both males and females. Finally, the results of analysis suggest that the government should especially focus on the vulnerable group and continue to strengthen effective efforts for improving awareness, treatment, and control of hypertension.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.3 no.3
• /
• pp.1-15
• /
• 2008

The paper discusses application of soft OR methodologies, which have been developed for last decades centered in European OR communities, to strategy formation process. It is shown that there is strong similarity in understanding of strategy formation between descriptive school of strategy and the research trend of soft OR. The focus and philosophical background of cognitive school of strategy, in particular, share much in common with soft OR school. The analysis and overview of several soft OR methodologies are introduced. It is also proposed that SODA can be utilized more directly to the strategy formation process. However, it is also noted in this paper that the epistemological issues should be considered and resolved for fluent investigation of soft OR methodologies in relation with existing rich strategic research works, for soft OR adopts interpretative research methods while strategy research generally lies on positivistic approaches.

• Journal of Elementary Mathematics Education in Korea
• /
• v.16 no.1
• /
• pp.39-61
• /
• 2012

Mathematical creativity is essential in school mathematics and mathematics curriculum and ensures the growth of mathematical ability. Therefore mathematics educators try to develop students' creativity via mathematics education for a long time. In special, 2011 revised mathematics curriculum emphasizes mathematical creativity. Yet, it may seem like a vague characterization of mathematical creativity. Furthermore, it is needed to develop the methods for developing the mathematical creativity. So, the goal of this paper is to search for teaching and learning models for developing the mathematical creativity. For this, I discuss about issues of mathematical creativity and extract the factors of mathematical creativity. The factors of mathematical creativity are divided into cognitive factors, affective factors and attitude factors that become the factors of development of mathematical creativity in the mathematical instruction. And I develop 8-teaching and learning models for development of mathematical creativity based on the characters of mathematics and the most recent theories of mathematics education. These models make it crucial for students to develop the mathematical creativity and create the new mathematics in the future.

• Science of Emotion and Sensibility
• /
• v.21 no.4
• /
• pp.77-90
• /
• 2018

Behavioral studies of emotion recognition in autism spectrum disorders (ASD) have yielded mixed results. Most of the studies focused on emotion recognition abilities with regard to ASD using stimuli with unisensory modality, making it difficult to determine difficulties in real life emotion perception in ASD. Herein, we review the recent behavioral and cognitive neuroscience studies on emotion recognition functions in ASD, including both unisensory and multisensory emotional information, to elucidate the possible difficulties in emotion recognition in ASD. In our study, we discovered that people with ASD have problems in the process of integrating emotional information during emotion recognition tasks. The following four points are discussed: (1) The restrictions of previous studies, (2) deficits in emotion recognition in ASD especially in recognizing multisensory information, (3) possible compensation mechanisms for emotion recognition in ASD, and (4) the possible roles of attention and language functions in emotion recognition in ASD. The compensatory mechanisms proposed herein for ASD with regard to emotion recognition abilities could contribute to a therapeutic approach for improving emotion recognition functions in ASD.