• Korean Journal of Cognitive Science
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• v.20 no.2
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• pp.183-195
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• 2009

We made Korean IAPS through measuring Korean university students' emotional response(arousal and emotional valence) about the whole 956 IAPS pictures made by Lang et al.(2005). In addition, we examined the emotional difference between American and Korean by comparing the response of original American IAPS and those of Korean IAPS. The results showed that both response of arousal and emotional valence in Korean were highly correlated with those in American respectively. In details, two groups showed differences as well as similarities. Korean showed higher arousal response than American, but in both groups women showed higher arousal response than men. When examining the emotional valence of positive, neutral, and negative stimuli categorized by American IAPS, Korean showed more modest emotional valence than American, and this group difference was the same in both men and women. In particular, Korean women showed more negative emotional valence than Korean men, but American women showed more extreme emotional valence than American men. These results suggest that there are some cultural and sex differences in the emotional response, and that researchers have to consider them when studying with IAPS stimuli.

• Proceedings of the KSPS conference
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• 2007.05a
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• pp.67-70
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• 2007

The present paper focuses on the interaction between lexical-semantic information and affective prosody. The previous studies showed that the influence of lexical-semantic information on the affective evaluation of the prosody was relatively clear, but the influence of emotional prosody on the word evaluation remains still ambiguous. In the present, we explore whether affective prosody influence on the evaluation of affective meaning of a word and vice versa, using more ecological stimulus (sentences) than simple words. We asked participants to evaluate the emotional valence of the sentences which were recorded with affective prosody (negative, neutral, and positive) in Experiment 1 and the emotional valence of their prosodies in Experiment 2. The results showed that the emotional valence of prosody can influence on the emotional evaluation of sentences and vice versa. Interestingly, the positive prosody is likely to be more responsible to this interaction.

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.180-189
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• 2024

We aimed to see if approach-avoidance visual experience would have different effects in the valence rating of emojis. Previous literature has shown that approach-avoidance tendencies have influences people's emotional perceptions. Up until now, research on emojis have been heavily focused on static emojis, which gives room for exploration whether if movement added on to emoji would elicit different emotional responses. In the study, we examined the impact of approach-avoidance visual experience of emojis via mobile interface, categorized into 4 experimental conditions (positive approach, negative approach, positive avoid, and negative avoid), and conducted semi-structured interviews to identify users' reasonings towards their valence ratings on specific emojis with approach or avoid movements. We found that positive approach emojis were the highest valence rating and preferred by the participants, while there were no differences between negative emoji approach or avoidance. Based on these findings, we conclude that positive emojis could be intensified to be more positive with approach motion, yet for negative emojis, individual differences or contextual differences may arise in its emotional ratings.

• Science of Emotion and Sensibility
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• v.17 no.3
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• pp.57-64
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• 2014

In this paper, we verify the relation between elements (active and inactive) of Russell's emotional dimension ("A Circumplex Model") to propose a new representing method. Russell's emotional dimension expresses emotional words (happy, joy, sad, nervous, etc.) as a point on the two dimensions (Arousal and Valence). It is most commonly used in many filed such as Science of Emotion & Sensibility, Human-Computer Interaction (HCI), and Psychology etc. But other researchers have insisted that Russell's emotional dimension have to be modified because of its inherent problems. Such problems included the possibility of mixed feelings, the difference of emotion and sensibility, and the difference of Arousal axis and Valence axis. Therefore, we verify relationship of A Circumplex Model's elements (active and inactive) and find how to people express their Arousal feelings using survey. We finally propose new method to express emotion in Russell's emotional dimension. Using this method, we can solve Russell's problems and compensate other researches.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.707-710
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• 2009

In this paper, we introduce an interface for exploring music using emotional model. First, we survey arousal-valence factors of various music and calculate a correlation between audio fefatures of music and arousal-valence factors to build an AV model. Then, various music is aligned and arranged using the AV model and the user can explore music in this interface. To select the desired music more intuitively, we introduce new fade in/out function based on the location of the user's mouse point. We also offer several mode of selecting music so user can explore music using most suitable mode of interface. With our interface, the user can find the emotionally desired music more easily.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.2
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• pp.64-70
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• 2012

This paper presents a statistical analysis method for the selection of electroencephalogram (EEG) electrode positions and spectral features to recognize emotion, where emotional valence and arousal are classified into three and two levels, respectively. Ten experiments for a subject were performed under three categorized IAPS (International Affective Picture System) pictures, i.e., high valence and high arousal, medium valence and low arousal, and low valence and high arousal. The electroencephalogram was recorded from 12 sites according to the international 10~20 system referenced to Cz. The statistical analysis approach using ANOVA with Tukey's HSD is employed to identify statistically significant EEG electrode positions and spectral features in the emotion recognition.

• Korean Journal of Food Science and Technology
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• v.52 no.2
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• pp.172-176
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• 2020

Recently, it has been reported that the positive emotional responses from previously consumed food could be transferred to the new food, affecting the acceptance of the food. This study was conducted to develop emotional lexicons for evaluating consumers' emotional responses to the food. Focus group interviews were conducted using 15 Koreans and 23 Chinese consumers to elicit emotional terms for Korean food HMR products. Using 23 Chinese participants who did not participate in the previous interview, emotional terms were screened through discussions in an interview setting. An online survey among 50 Koreans and 50 Chinese was carried out to evaluate and verify the valence and arousal potential of the selected terms. Elicited emotional terms in these two countries had similar valence and arousal potentials. However, cross-cultural differences were also found, mostly in arousal potential. Therefore, interpretation should be done carefully when comparing emotional responses between Korean and Chinese subjects.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2006.06a
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• pp.39-41
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• 2006

A modifiedPosner cue-target paradigm in which neutral, positive and negative (threat) words were presented in peripheral location for cue was used to investigate the difference of engagement component of attention across emotional valence and anxiety level of participants. Results showed an interaction effect between anxiety level of participants and emotional valence of cue in valid trial. This indicates that the engage component of attention is not encapsulated and influenced by anxiety level of participant.

• Korean Journal of Cognitive Science
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• v.23 no.1
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• pp.97-107
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• 2012

Previous studies on opinion mining and sentiment analysis have supposed that the polarity and value of an emotional word is reversed when a negation word is attached. However, there are no quantitative studies on how much the polarity is changed when a negation word is following. Therefore, we measured the valence and arousal dimensions for Korean emotional words and their negations. Consequently, the polarity of valence and arousal was reversed on their intermediate level. Also, the value was reduced by about 30% to 50%. We propose this result as a guideline for processing negation words for studies on opinion mining and sentiment analysis.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.4
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• pp.1-11
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• 2014

This paper addresses the emotion computing model for software affective agents. In this paper, emotion is represented in valence-arousal-dominance dimensions instead of discrete categorical representation approach. Firstly, a novel emotion model architecture for affective agents is proposed based on Scherer's componential theories of human emotion, which is one of the well-known emotion models in psychological area. Then a fuzzy logic is applied to determine emotional statuses in the emotion model architecture, i.e., the first valence and arousal, the second valence and arousal, and dominance. The proposed methods are implemented and tested by applying them in a virtual training system for children's neurobehavioral disorders.