• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.3
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• pp.259-265
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• 2006

Learning and emotions are very important parts to implement intelligent robots. In this paper, we implement intelligent virtual character based on reinforcement learning which interacts with user and have internal emotion model. Virtual character acts autonomously in 3D virtual environment by internal state. And user can learn virtual character specific behaviors by repeated directions. Mouse gesture is used to perceive such directions based on artificial neural network. Emotion-Mood-Personality model is proposed to express emotions. And we examine the change of emotion and learning behaviors when virtual character interact with user.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.6
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• pp.841-852
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• 2009

The aim of the study was to quantify and explore the causal relationships of appearance management through an analysis of one's own clothing and wearing experience, namely clothing preference, personality factors, emotion and mood, newness, familiarity of one's own clothing, and social interaction. Explorative quantitative and qualitative research was carried out using a uniformly composed sample of 10 size 12 females. A personality questionnaire was completed a short while prior to the study. A 10 day ‘wearing diary’ was administered to record where and when outfits were worn. Two questionnaires were completed measure emotion and mood, prior to changing into clothing (a daily baseline), and when they were wearing or changed clothing (dynamic mood). Qualitative information was recorded and included their thoughts and feelings other than the questionnaires, along with photographs that were taken by participants. Preference, social and newness ratings for each outfit worn were recorded after the 10 day period. SPSS analysis identified relationships and linear regression analysis identified preference indicators. Thematic analysis identified 9 themes regarding the management of mood, personality and social factors when wearing one's own clothing. The results indicated strong relationships between emotion, mood, personality and preference and how much newness and different levels of social interaction influence these factors. Participants tended to match their mood and personality with their clothing choices but in some cases also compensated. This research recognises the value of consumer psychological processes involved in appearance management, and has implications for further research into product involvement, post-purchase behaviour and retail strategies for personal shoppers.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.7-12
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• 2008

In human and robot interaction, the role of emotion becomes more important Therefore, robots need the emotion expression mechanism similar to human. In this paper, we suggest a new emotion expression system based on the psychological studies and it consists of five affective elements, i.e., the emotion, the mood, the personality, the tendency, and the machine rhythm. Each element has somewhat peculiar influence on the emotion expression pattern change according to their characteristics. As a result, although robots were exposed to the same external stimuli, each robot can show a different emotion expression pattern. The proposed system may contribute to make a rather natural and human-friendly human-robot interaction and to promote more intimate relationships between people and robots.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1776-1780
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• 2004

In this paper, we propose the new emotion model and the robot behavior decision model based on proposed emotion model. As like in human, emotions are hierarchicalized in four levels (momentary emotions, mood, attitude, and personality) and are determined from the robot behavior and human responses. They are combined with motivation (which is determined from the external stimuli) to determine the robot behavior.

• Journal of environmental and Sanitary engineering
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• v.18 no.2
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• pp.75-86
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• 2003

This study was designed to identify the relationship between general characteristics and personalities of college students majoring in beauty art. For this, 286 female students from two colleges in Kwangju were interviewed using a questionnaire pertaining to their general characteristics, hair-style and personality from September 20 through 30, 2001. A $x^2{\;}-{\;}test$ was implemented to identify the relationship between hair-style, personality and other variables. The results are summarized as follows: 1 To define characteristics in relation with hair-style, how students decide their hair-style was examined and, as a result, it was reported that 80.8% of targeted students decided by themselves and 19.2% decided by others' suggestions. 2. It is reported that there was no statistically significant relationship among socio-demographic characteristics such as the length of hair, grades, allowances, religion, satisfaction of campus life, and characteristics relating to hair-style such as accessories, mood, shape of face, decision of hair-style, and texture of hair. 3. Their preference of perm type had a statistically significant relationship with their allowance, religion and accessories, but not with their grades, satisfaction of campus life, mood, shape of face, hair-style, and texture of hair. 4. Dye and bleach had a statistically significant relationship with the texture of hair, but not with socio-demographic characteristics and accessories, mood, shape of face and decision of hair-style. 5. Personality of tenacity, extroversion and introversion, emotion and falsehood had no statistically significant relationship with hair-style. Finally, it was proven that strength, extroversion and introversion, emotion and falsehood had no statistically significant relationship with hair-style. More studies to identify personal tendencies that may affect hair-style are necessary.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.431-435
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• 2005

학습과 감정은 지능형 시스템을 구현하는데 있어 가장 중요한 요소이다. 본 논문에서는 강화학습을 이용하여 사용자와 상호작용을 하면서 학습을 수행하고 내부적인 감정모델을 가지고 있는 지능적인 가상 캐릭터를 구현하였다. 가상 캐릭터는 여러 가지 사물들로 이루어진 3D의 가상 환경 내에서 내부상태에 의해 자율적으로 동작하며, 또한 사용자는 가상 캐릭터에게 반복적인 명령을 통해 원하는 행동을 학습시킬 수 있다. 이러한 명령은 인공신경망을 사용하여 마우스의 제스처를 인식하여 수행할 수 있고 감정의 표현을 위해 Emotion-Mood-Personality 모델을 새로 제안하였다. 그리고 실험을 통해 사용자와 상호작용을 통한 감정의 변화를 살펴보았고 가상 캐릭터의 훈련에 따른 학습이 올바르게 수행되는 것을 확인하였다.

• Anxiety and mood
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• v.12 no.2
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• pp.119-125
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• 2016

Objective : This study used the HEXACO personality structure model to evaluate the relationship between personality profiles and symptoms in patients with depression and/or anxiety disorders. Methods : Total 123 patients with depression or anxiety disorders completed Beck depression inventory (BDI), state-trait anxiety inventory (STAI), and HEXACO-personality inventory. Correlation analysis and independent t-test were performed for comparison between HEXACO and BDI or STAI scores. Results : Depressive symptoms were negatively correlated with extraversion, conscientiousness, agreeableness and openness to experiences. Both severity of state and trait anxiety were positively correlated with emotionality, and negatively correlated with conscientiousness and agreeableness. Moreover, state anxiety was negatively correlated with honesty-humility, and trait anxiety was negatively correlated with extraversion. The depression group showed significantly higher emotionality and lower extraversion, conscientiousness, openness to experiences, and agreeableness compared to the non-depression group. In a comparison of the HEXACO domain scores between the non-anxiety and anxiety group, honesty-humility and agreeableness in the state anxiety group and extraversion, conscientiousness, and agreeableness in trait anxiety group were significantly lower. Conclusion : Theses results suggest that the depression or anxiety symptoms were highly correlated with personality profiles. Therefore, evaluating the personality profiles in these patients may be helpful for directing appropriate therapeutic plans.

• Science of Emotion and Sensibility
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• v.18 no.1
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• pp.59-66
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• 2015

To date, contents' usability of most multimedia devices has been focused on developer not on user, which made difficult in solving the problems or fulfilling the needs while people using real system. Although user-centered UX and UI researches have been studied and have resulted in innovation in some part, it does not show great effect on usability as it is not easy to interpret human emotions and needs and to apply those to system. Usability is the matter on how deeply smart devices can interpret and analyze human mind not on how much functions and technologies are improved. This study aims to help with usability improvement based on user when people use smart devices in multimedia environment. We studied the interaction between human and contents by analyzing the effect of human emotions and personalities on preference and consumption of contents' type. This study was done by assuming that proper analysis on human emotions may increase user satisfaction on multimedia environment. We analyzed contents preference by gender and emotion. The results showed that there is significant relationship between 'Happy' emotion and 'Comedy Program' preference and men are more prefer it than women. However, it does not reveal any significant relationship between 'Sad' emotion and contents preferences but women are slightly more prefer 'Comedy Program' than men. This result supports the Zillmann's 'mood based management', which suggests that the needs for pleasant contents are revealed to relieve sadness when people are in a sad mood. In addition, our finding corresponds with Oliver's insistence on meeting all four factors, insight, meaningfulness, understanding and reflection, rather than just pleasure for more satisfaction. This study focused on temporary emotional factors and contents and additionally on effect of users' emotion, personality and preference on type of contents consumption. This relationship between emotions and contents study would suggest the better direction for developing smart devices with great contents usability and user satisfaction in the future.

• Korean Journal of Psychosomatic Medicine
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• v.7 no.2
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• pp.203-212
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• 1999

Objectives : "Alexithymia" mean literally "no word for mood(or emotion)". It is not only a marked constriction in emotional functioning but a deficit in their cognitive processing. We designed this study to investigate the level of alexithymia, psychopathology and personality factors of patients with somatoform disorder and with diabetes mellitus. Methods : The subjects were consisted of patients with somatoform disorder(N=20), patients with diabetes mellitus(N=20), and normal control(N=20). The level of alexithymia, psychopathology and personality factors were assessed by the Toronto Alexithymia Scale(TAS), the Symptom Checklist 90-Revision(SCL 90-R), and the Sixteen Personality Factor Questionnaire(16-PF). And we compared demographic characteristics, psychopathology and personality factors among three groups, and assessed the relationship between alexithymia and psychopathology, and between alexithymia and personality factors. Results : The results were as follows. 1) Patients with somatoform disorder showed significantly higher TAS scores compared to patients with diabetes mellitus and the normal control group. 2) Patients With somatoform disorder showed significantly higher scores of somatization, anxiety scales than patients with diabetes mellitus and the normal control group, and showed significantly higher scores of obsessive-compulsive, depression, phobic anxiety, psychoticism scales than the normal control group by the SCL-90-R. 3) The normal control group showed high intelligence scores only as compared to patients with somatoform disorder by the 16-PF. 4) A significant relationship was found between TAS scores and psychopathology in patients with somatoform disorder. 5) All three groups did not shown any correlation between TAS and 16-PF. Conclusion : Patients with somatoform disorder showed higher TAS scores and more multiple psychopathology than patients with diabetes mellitus and the normal controls. A significant relationship was found between TAS scores and psychopathology in patients with somatoform disorder. We suggest that the therapeutic approach to patients with somatoform disorder to express emotions and manage psychopathology, and that the treatment methods of patients with diabetes mellitus aims to improve firstly physical conditions are more helpful.

• Mood & Emotion
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• v.10 no.1
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• pp.13-21
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• 2012

Suicide is a complex behavior associated with various neurobiological and psychosocial factors. It is considered that genetic polymorphism combined with environmental stress such as child-adolescent trauma make differences in neurobiological systems, which cause psychiatric disorders or pessimistic personality, impulse-aggressive behaviors, lack of judgment, and finally result in suicidal behavior. Much progress in the neurobiology of suicide has been made over the several decades. There seems to be a hereditary disposition to suicide independent of psychiatric disorder. The changes in neurotransmitters, neurohormones, neurotrophic factors, cytokines, lipid metabolisms related with their genetic polymorphism can contribute to disturbance of signal transductions and neuronal circuits vulnerable to suicide. It is likely that the main factors are dysfunctions of serotonin (5-HT) and hypothalamus-pituitary-adrenal (HPA) axis. Our understanding about the neurobiology of suicide is still limited. However, clinical practice could be assisted by neurobiological findings capable of making the detection of risk populations with higher sensitivity and the development of new treatment interventions. The settlement of biological markers in suicidal behaviors and their relationships is required.