• Electronics and Telecommunications Trends
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• v.21 no.5 s.101
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• pp.93-108
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• 2006

햅틱스(Haptics)란 사람에게 촉감을 전달하는 방법을 연구하는 것에 관한 학문이다. 컴퓨터와 정보통신 기술의 발달과 함께 촉각 인터페이스는 시각/청각을 넘어선 새로운 정보 전달의 수단으로 대두되고 있다. 햅틱스의 연구분야는 크게 촉각을 전달하기 위한 물리적 장치를 일컫는 햅틱 인터페이스, 사람이 느끼는 촉감의 메커니즘을 연구하는 신경과학 및 심리학, 촉감을 모델링하기 위한 햅틱 렌더링, 그리고 햅틱스 기술을 적용한 응용시스템의 개발로 나눌 수 있다. 본 고에서는 현재 햅틱스 관련 연구분야의 세계적인 기술 수준을 소개 및 분석하고, 보다 사실적인 촉감을 전달하기 위한 연구동향을 기술한다. 또한 향후 햅틱스 기술이 응용될 주요 연구 분야를 예측해 본다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.309-312
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• 2004

본 논문에서는 인간과 로봇의 상호작용을 위해 감정에 기반한 감정 처리 모델을 설계하였다. 감정 재현 기술은 사용자에게 친근감을 주기 위해 로봇 시스템이 제스처, 표정을 통하여 사람이나 동물의 감성과 동작을 표현하는 분야이다. 로봇이 감정을 표현하는 문제에는 많은 심리학적, 해부학적, 공학적 문제가 관련된다. 여러가지 애매모호한 상황임에 불구하고 심리학자인 Ekman과 Friesen에 의해 사람의 여섯 가지 기본 표정이 놀람, 공포, 혐오, 행복감, 두려움, 슬픔은 문화에 영향을 받지 않고 공통적으로 인식되는 보편성을 가지고 있는 것으로 연구됐다. 사람의 행동에 대한 로봇의 반응이 학습되어 감정모델이 결정되고, 그 결과가 행동결정에 영향을 주어 로봇의 행동에 반영되도록 하였다. 본 논문에서는 인간과 로봇과의 상호작용을 통해 정보를 축적하고 인간의 반응에 적응해나 갈 수 있는 감정 처리 모델을 제안한다.

• 한국벤처창업학회:학술대회논문집
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• 2016.04a
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• pp.239-241
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• 2016

본 연구는 마음챙김(Mindfulness)의 심리치료적 과정을 기술해 보고 현대인의 정신적 질병인 우울증에 대한 마음챙김의 치료효과를 검증하는데 있다. 마음챙김은 최근 미국을 중심으로 심리학과 정신의학 분야에서 크게 주목을 받고 있는 심리치료 프로그램이다. 마음챙김은 일상생활에서 well-being을 추구하는 정신건강에 효과가 있으며, 정신적 스트레스 감소와 임상치료에서 우울, 불안, 강박, 중독, PTSD, ADHD 등 각종 정신병리의 증상완화에도 치료에 효과가 있다고 밝혀졌다. 본 연구는 신경정신과에서 의뢰받은 3명의 내담자들을 대상으로 마음챙김 심리치료를 실시하고 그 결과를 분석하여 우울증에 대한 치료효과를 알아보았다. 내담자의 특성은 장기간 우울증을 겪고 있으며 약물을 복용하고 있는 50대 여성을 대상으로 하였고, 그 결과 마음챙김은 우울증으로 인한 우울감과 불안감, 반추적 성향, 정서조절 곤란 정도에서 감소되는 효과가 있었으며, 정신건강의 긍정적인 지표인 마음챙김 기술 척도는 증가하는 것으로 나타났다. 이러한 연구 결과는 마음챙김이 인지행동치료 뿐만 아니라 약물치료를 대체하는 정신적 치료법으로도 효과가 있다는 시사점이 있다.

• Communications of Mathematical Education
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• v.18 no.1 s.18
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• pp.211-222
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• 2004

신체적 체험은 인간의 사고를 형성하는 바탕이 된다. 문제해결 경험은 인간 사고를 한층 더 발전시킨다. 특히 사물의 형태와 움직임을 관찰하고, 그러한 환경에 감각-운동 신경을 발달시키는 체험에서 획득된 개념들은 추상적 사고에서 중심적 역할을 한다는 언어심리학의 가설이 흥미롭게 제기되어 연구되어 오고 있다. 개념체계로서 수학, 언어로서 수학, 의미 만들기로서 수학 , 문제 해결로서 수학 등 수학학습과 관련된 수학의 여러 모습에 대한 새로운 시각을 갖게 한다. Lakoff와 Johnson는 신체적 체험이 가져온 이러한 개념체계들 '메타포'라고 부른다. 메타포의 '개념' 수준으로의 확장은 analogy의 의미를 확장시켰다. 수학학습에 신체적 체험으로 존재하는 개념들은 수학적 개념에 이르는 학습을 새롭게 보게 한다. 본 연구는 metaphor와 analogy의 인지과학 및 언어과학에서 연구되고 있는 일반적 의미들을 제시하고 수학학습에서의 적용될 수 있는 방법들을 제시한다.

• Korean Journal of Culture and Social Issue
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• v.19 no.3
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• pp.389-407
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• 2013

This study investigated the mediating effects of depression on the relationship between perceived problem solving ability and suicidal ideation. 548 college students were examined with PSI(Problem Solving Inventory), BDI(Beck Depression Inventory) and SSI(Scale for Suicidal Ideation). To explore the relationship among these variables, correlation analysis was undertaken. Regression analysis was then applied to test the mediating effects of depression. In the results, perceived problem solving ability, depression and suicidal ideation were correlated positively. Depression operated as a factor to mediate between the perceived problem solving ability and suicidal ideation. This mean that perceived problem solving ability impact indirectly, rather than directly, on suicidal ideation. These results suggest the importance of psychological intervention to improve depression and perceived problem solving ability that affect suicidal ideation.

• Korean Journal of Cognitive Science
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• v.29 no.3
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• pp.161-192
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• 2018

Retrieving temporal information of encoded events is one of the core control processes in episodic memory. Despite much prior neuroimaging research on episodic retrieval, little is known about how large-scale connectivity patterns are involved in the retrieval of sequentially organized episodes. Task-related functional connectivity multivariate pattern analysis was used to distinguish the different sequential retrieval. In this study, participants performed temporal episodic memory tasks in which they were required to retrieve the encoded items in either the forward or backward direction. While separately parsed local networks did not yield substantial efficiency in classification performance, the large-scale patterns of interactivity across the cortical and sub-cortical brain regions implicated in both the cognitive control of memory and goal-directed cognitive processes encompassing lateral and medial prefrontal regions, inferior parietal lobules, middle temporal gyrus, and caudate yielded high discriminative power in classification of temporal retrieval processes. These findings demonstrate that mnemonic control processes across cortical and subcortical regions are recruited to re-experience temporally-linked series of memoranda in episodic memory and are mirrored in the qualitatively distinct global network patterns of functional connectivity.

• Korean Journal of Cognitive Science
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• v.33 no.1
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• pp.23-50
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• 2022

Source memory is a cognitive process that combines the representation of the origin of the episodic experience with an item. By studying this daily process, researchers have made fundamental discoveries that make up the foundation of brain and behavior research, such as executive function and binding. In this paper, we review and conduct a bibliometric analysis on source memory papers published from 1989 to 2020. This review is based on keyword co-occurrence networks and author citation networks, providing an in-depth overview of the development of source memory research and future directions. This bibliometric analysis discovers a change in the research trends: while research prior to 2010 focused on individuality of source memory as a cognitive function, more recent papers focus more on the implication of source memory as it pertains to connectivity between disparate brain regions and to social neuroscience. Keyword network analysis shows that aging and executive function are continued topics of interest, although frameworks in which they are viewed have shifted to include developmental psychology and meta memory. The use of theories and models provided by source memory research seem essential for the future development of cognitive enhancement tools within and outside of the field of Psychology.

• Korean Journal of Cognitive Science
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• v.33 no.2
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• pp.95-107
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• 2022

Facial processing of different racial origin has been investigated at various levels including perceptual, emotional, and socio-cultural processing. Particularly, a good deal of studies have been conducted to show "other race effect (ORE)" to indicate that subtle facial information such as identity or emotional expressions are often under-processed in racial out-group members. However, few studies have investigated whether attentional modulation toward racial out-group faces could explain ORE. We investigated whether novelty-driven attentional mechanism is involved in face perception using event-related potential (ERP). Twenty-two Korean (KR) and nine Caucasian-American (AM) participants were presented with emotional faces from the two racial origins while they performed a gender categorization task. KRs showed significantly greater P3 amplitudes to AM than to KR faces indicating that the early attentional processing underlies differential perception of racial out-group faces. Interestingly, P3 was not up-regulated in the AM subjects when they were presented with KR faces, perhaps due to massive habituation to KR faces during everyday social interaction. These results indicate that racial out-group faces are highly salient stimuli which automatically occupy attentional resources, but easily habituated with repeated exposure to the racial-out group.

• Korean Journal of Culture and Social Issue
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• v.21 no.3
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• pp.395-417
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• 2015

The first aim of this study was to explore the roles of personality variables on work motivation and job satisfaction. The second purpose was to setup a path model, in which the personality variables would impact on work motivation and job satisfaction. The third purpose of the current study was to examine medation effects of work motivation between personality variables and job satisfaction. In total, 280 older employees who worked in the various fields participated at this study. The reuslts of hierachial regression analysis found that agreeableness, conscientiousness, and interanl locus of control positively predicted on work motivation. The results indicated that openness to experience and neuroticism negatively influenced on work motivation. Also, we found that agreeableness, conscientiousness, and self-esteem positively predicted on job satisfaction. The resutls of path analysis showed that work motvation mediated the relationship between agreeableness, conscientiousness, and interanl locus of control and job satisfaction, respectively. Finally, implicaions of the results, limitations of this study, and directions of future research were discussed.

• Korean Journal of Culture and Social Issue
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• v.30 no.3
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• pp.239-265
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• 2024

The purpose of this study was to compare the predictive accuracy of traditional prediction models (methods) and machine learning algorithms in predicting suicidal behaviors. The research aimed to go beyond a systematic review level and scientifically examine the predictive capabilities of these two techniques through meta-analysis, analyzing variables identified through domestic research, particularly at the regional level. In order to achieve this, a total of 124 studies, including 50 studies utilizing machine learning and 74 studies employing traditional methods, were included in the meta-analysis. The results of the study revealed that the integrated area under the curve (AUC) for studies using traditional methods was .770, which was lower than the integrated AUC value of .853 for studies using machine learning. Particularly, studies conducted in Asia (AUC = .944) demonstrated higher accuracy compared to studies in Western countries (AUC = .820) and Korea (AUC = .864). Additional analysis of the moderating effects in domestic research indicated that a higher proportion of males and the prediction of suicide attempts were associated with higher prediction accuracy. On the other hand, prediction accuracy was lower when the prediction target was suicide deaths and when studies utilized neural network analysis. This study synthesized various research findings on the prediction of suicidal behaviors, verified the effectiveness of prediction using machine learning, and holds significance in exploring variables applicable in the context of South Korea.