• Management & Information Systems Review
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• v.2
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• pp.267-294
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• 1998

Recently, self-efficacy is one of the critical constructs that have been found to influence human decisions about behavior selection and the performance associated with the selected behavior. The construct has been widely adopted and tested In the fields of social psychology and/or other behavioral sciences. In information systems field, however, it has been hardly studied, although computer self-efficacy could have been an important factor explaining and predicting human computer usage behaviors. From this perspective, main purposes of the study is to understand causal relation among the factors influencing computer self- efficacy, computer usage behavior and computer self-efficacy. The research reported in this study have several objectives; 1) to develop a measure of computer self-efficacy, 2) to Identify the factors influencing self-efficacy, and 3) to reveal the relationship between self-efficacy and computer usage behavior and then 4) to explain the causal model of computer self-efficacy. By reviewing the literature, past experience, others' use, encouragement by others, and anxiety are selected as the factors influencing computer self-efficacy. Four hypotheses concerning the relationship between each of the variables and computer self-efficacy are tested by LISREL. One more hypothesis about the relationship between computer self-efficacy and computer usage is also tested. The results show that computer self-efficacy is significantly influence by computer anxiety, encouragement by others, and computer experience, and that it is closely correlated with computer usage behavior.

• Journal of the HCI Society of Korea
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• v.12 no.4
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• pp.75-80
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• 2017

With the technological development, benefits of Virtual Reality (VR) has become a key of medium in communication research. In addition, explaining human minds with physiological data has become more popular since more accurate and detailed data can be expressed. However, reading brain signals in a virtual environment setting with psychophysiological measures (e.g. EEG and fNIRS) has remained a difficulty for researchers due to a technical constraint. Since a combination of cables for brain measures attached to a head cap obstruct wearing a Head-Mounted Display (HMD) over the cap, measuring brain activities with multiple channels on several areas of the brain is inappropriate in the VR setting. Therefore, we have developed a new brain measurement cap that includes probe connectors and brackets enabling a direct connection to the HMD. We highly expect this method would contribute to cognitive psychology research measuring brain signals with new technology.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.3
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• pp.179-200
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• 2015

Recent national policies National Competency Standards(NCS) to develop teaching-oriented education in the field of industry and learning is taking place. Plan to take advantage of the Internet and multimedia classes, information and communication technology (ICT) for ways to leverage the integration appearing in various forms. The purpose of this study is causal influence on the ARCS motivation theory can determine the basic psychology of human motivation factors and the desires of a typical human nature theory dealing with the psychological needs of interactivity and immersion is learning achievement and learning transfer and to validate the demonstration. By applying information and communication technology sector in the development of learning in information and communication equipment training program modules from a field study conducted at the NCS with a clear empirical and empirical research through the synchronization to the learner and to explore the possibility of generalization.

• Korean Journal of Biological Psychiatry
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• v.22 no.3
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• pp.101-108
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• 2015

Recent breakthroughs in functional neuroimaging techniques have launched the quest of mapping the connections of the human brain, otherwise known as the human connectome. Imaging connectomics is an umbrella term that refers to the neuroimaging techniques used to generate these maps, which recently has enabled comprehensive brain mapping of network connectivity combined with graph theoretic methods. In this review, we present an overview of the key concepts in functional connectomics. Furthermore, we discuss articles that applied task-based and/or resting-state functional magnetic resonance imaging to examine network deficits in post-traumatic stress disorder (PTSD). These studies have provided important insights regarding the etiology of PTSD, as well as the overall organization of the brain network. Advances in functional connectomics are expected to provide insight into the pathophysiology and the development of biomarkers for diagnosis and treatment of PTSD.

• Journal of the Korean Operations Research and Management Science Society
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• v.22 no.3
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• pp.191-208
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• 1997

Recently, self-efficacy is one of the critical constructs that have been found to influence human decisions about behavior selection and the performance associated with the selected behavior. The construct has been widely adaopted and tested in the fields of social psychology and/or other behavioral sciences. In information system field, however, it has been hardly studied, although computer self-efficiency could have been an important factor explaining and predicting human computer usage behaviors. From this perspective, main proposes of the study are : (1) to develop a measure of computer self-efficacy, 2) to identify the factors influencing self-efficacy, and 3) to reveal the relationship between self-efficacy and computer usage behavior. By reviewing the literature, past experience, others'use, encouragement by others, and anxiety are selected as the factors influencing computer self-efficacy. Four hypotheses concerning the relationship between each of the variables and computer self-efficacy are tested by LISREL. One more hypothesis about the relationship between computer self-efficacy and computer usage is also tested. The results show that computer self-efficacy is significantly influenced by computer ansiety, encouragement by others, and computer experience, and that it is closely correlated with computer usage behavior.

• Journal of the Korean Operations Research and Management Science Society
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• v.21 no.3
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• pp.109-125
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• 1996

Biases and errors in the human being's reasoning process have been studied continuously by the researchers, especially psychlogists and social scientists. These bias phenomenon is classified on the basis of the origin, i. e. motivation and cognition. Furthermore the necessity of research on the bias in the management and management information system areas in increased more and more recently, which have their academic backgrounds in the psychology and social science. The biased information stream is transformed into the systematic error due to the motivation and cognitive bias of human-being, then its resulting phenomena are as follows; 1. the availability of salient information 2. preconceived ideas or theories about peoples and event 3. anchoring and perseverence phenomena. In order to reduce the information errors, Satty suggested the Analytic Hierarchy Process (AHP) that is the subject of this paper and that is widely used for evaluation of complex decision making alternatives. THerefore this paper studies AHP's effects and its limitations in applying to the management area. Thus this paper compared the performances of the 3 models : 1 the traditional additive regression model. 2 regression model using the factor score, and 3 the regression model with AHP. As a result, 3 models produce the different outcomes.

• Proceedings of the ESK Conference
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• 1997.04a
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• pp.165-175
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• 1997

Brain potential is described by using Euler Lagrange equation derived from Lagrangian based on SMNI(Statistical Mechanics of Neocortical Interaction). It is assumed that excitatory neuron firing is amplitude-modulated dominantly by the sum of two modes of frequency ${\omega}and 2 {\omega}$ . Time series of this neuron firing is numerically calculated. $I_{L}$related to low frequency distribution of power spectrum, $I_{H}$high frequency, and S(standard deviation) are introduced for the effective extraction of the dynamic property in this simulated brain potential. $I_{L}$,$I_{H}$, and S are obtained from EEG of 4 persons in rest state and are compared with thoretical results. It is of importance in various fields related to human well-being such as comfort-pursued industrial design, psychology, medicine to characterize human emotional states by EEG analysis. The pleasant and unpleasant sensation among various emotional states would be demonstrated to be determined in terms of ${\epsilon}$ and ${\gamma}$ parameters estimated by the simulated $I_{L}$-$I_{H}$-S relations.

• International Journal of Human Ecology
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• v.13 no.1
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• pp.39-56
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• 2012

This study aims at exploring Korean mothers' beliefs on the development of emotion of their children. In specific, sensitivity and maternal reactions to their children's both negative and positive emotion expressions were explored. Further, associations among maternal sensitivity, maternal reactions and child emotion regulation were examined. A total of 100 Korean mothers whose children were between 6 and 7 years old participated in the study. In order to assess mothers' beliefs about sensitivity, vignettes in a forced-choice format were presented through individual interviews. Mothers' self reported reactions to their children's negative emotions and positive emotions and mothers' perceptions of children's emotion regulation were assessed using questionnaires. Results revealed that Korean mothers endorsed both proactive and reactive sensitivity. However, their sensitivity differed depending on the situation. Mothers tended to endorse either Emotion Focused or Problem Focused reactions to their children's negative emotions. Mothers reported that they were most likely to restrict their child positive emotional expression with explanation in supportive way followed by invalidating through reprimanding it. Mothers' reported Distress Reactions and Punitive Reactions to children's expression of negative emotion were associated with children's liability whereas Emotion-Focused Reaction and Problem-Focused Reaction were associated with children's functional emotion regulation. The results are discussed within a theoretical framework of socialization of emotions.

• Weed & Turfgrass Science
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• v.7 no.2
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• pp.98-110
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• 2018

The fragrance has a great influence on consumers' cognition, emotional response, attitude, memory, and behavior since the human sense of fragrance is physically and neurologically closer to the hippocampus of the brain. The fragrance materials are exposed to humans ranging from skin interaction to inhalation. We have lots of stories and literature on the usage of fragrance in everyday life in Korea from the Dangun myth to present K-beauty cosmetics. In Korean history, such archives as Dong-Eui-Bo-Gam and Gyu-Gak-Chong-Seo at Joseon Dynasty clearly recorded the application of many weeds for the manufacture of various fragrance products. In recent times, fragrances in weeds have been being applied to touch the consumer's feelings. The present mini-review is an attempt to introduce and discuss fragrant weeds in the archives and in science journals, effects of fragrant weeds on the human electroencephalographic activity, and effects of fragrance on the behavior of consumers. This review could be useful for the development of natural cosmetic and perfumery products from fragrant weeds.

• Korean Journal of Cognitive Science
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• v.14 no.1
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• pp.1-9
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• 2003

In implicit learning tasks, human participants learn grammatical letter strings better than random letter strings. After learning grammatical letter strings, participants were able to judge the grammaticality of new letter strings that they have never seen before. EPAM (Elementary Perceiver and Memorizer) IV, a rote learner without any rule abstraction mechanism, was used to simulate these results. The results showed that EPAM IV with a within-item chunking function was able to learn grammatical letter strings better than random letter strings and discriminate grammatical letter strings from non-grammatical letter strings. The success of EPAM IV in simulating human performance strongly indicated that recognition memory based on chunking plays a critical role in implicit learning.