• International Journal of Contents
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• v.15 no.1
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• pp.25-31
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• 2019

Personality, especially neuroticism has been found related to be related with poor sleep quality. This study focused on emotion regulation, reappraisal and suppression, which can buffer or aggravate the effect of neuroticism influencing sleep quality. One hundred and forty two ordinary adults were used in this study and were recruited and required to complete a package of questionnaires including: the Eysenck personality Questionnaire/EPQ, the Emotion Regulation Questionnaire/ERQ, and the Pittsburgh Sleep Quality Index/PSQI. The result was that participants with higher neuroticism had poorer sleep qualities than those with lower neuroticism. Moreover, participants that had high neuroticism and high reappraisal had better sleep qualities. This means that there was an interaction effect of neuroticism and reappraisal on sleep quality. However, suppression did not have a moderating effect on the relation between neuroticism and sleep quality. These findings inferred that reappraisal plays an important moderating role (buffering effect) on the relationship between neuroticism and sleep quality. Reappraisal cannot only prevent people high in neuroticism from sleep problems but can also buffer symptoms of sleep disorder by treating patient's negative emotions.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.545-555
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• 2015

We investigated the influence of negative emotion such as state-trait anxiety and depression and working memory (WM) on Foreign Language Vocabulary Learning (FLVL) of South Korean university students. Also, its implications for developing contents for FLVL were discerned. To do so, state-trait anxiety and depression inventories as well as four kinds of WM test were performed for 132 undergraduate students. Participants also had two semantic learning sessions for Swahili words. The mean scores of negative emotions were normal level. The results of structural equation modeling (SEM) showed that there was no effect of negative emotion on FLVL, while direct effects of the negative emotion on WM and the WM on FLVL were significant. Such results suggested that FLVL would be weakened, with the result that WM had been impaired by negative emotions. These outcomes suggested that when developing FLVL content for university students, it is necessary to consider the negative emotions of foreign language learners and to develop the contents for FLVL in the light of WM load.

• Journal of Digital Contents Society
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• v.19 no.7
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• pp.1349-1355
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• 2018

Recently, a variety of contents services over the internet are becoming popular, among which MCN(Multi Channel Network) platform services have become popular with the generalization of smart phones. The MCN platform is based on streaming, and various factors are added to improve the service. Among them, augmented reality sticker service using face recognition is widely used. In this paper, we implemented the MCN platform that masks the augmented reality sticker on the face through facial emotion recognition in order to further increase the interest factor. We analyzed seven facial emotions using deep learning technology for facial emotion recognition, and applied the emotional sticker to the face based on it. To implement the proposed MCN platform, emotional stickers were applied to the clients and various servers that can stream the servers were designed.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.43-48
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• 2008

And this study intends to discuss especially the one using emotional filter among various information processing methods. The existing music recommendation service on the web has a weak point that it makes the user feel bored by recommending songs only with similar feeling of the same genre, because music is classified by tune, melody, atmosphere and genre before recommendation. The service using emotion filter, suggested in this study, recommends the song and lyrics appropriate to the current emotional state of the user by abstracting emotional words that could reflect the sensitivity of human and then search the words within lyrics to match in order to overcome the weak point of the existing service. This study starts where the current emotional status for the user is being input. As for the range to choose, there are the seven representatives of emotion which are, love, separation, joy, sorrow-gloom, happiness-lonesome, and anger. As the service receives input of user's emotion, it matches the emotional words appropriate for the emotion input with the lyrics, and ranks the lyrics in the order of priority, so that it recommends the song and it lyrics to the user.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.05a
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• pp.29-30
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• 2011

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.192-201
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• 2010

This research deals with expressive definition of visual contents by using the distance between a subject and a screen resolution, and what changes affect the emotion of those looking at the expressive definition. A visual image captured from a HDTV screen was shown to the 61 students attending a university in the Busan area and SAM evaluation method was used to measure 3 different emotions such as pleasant, arousal, and dominance. While comparing different resolution, looking at high resolution contents rather than low resolution resulted in a direction of pleasant, arousal, and dominance. Also showing a different resolution than consistently showing the same resolution had a more volatile emotional effect. Aftermath multiple comparison resulted in a tendency for emotions to become unpleasant and un-arousal when high resolution contents were shown and then switched to a low resolution contents. There was no result of any significance in the control variables. Also on the aftermath multiple comparison on short, medium and long distance between the subject and the screen resolution, short distance had a bigger pleasant, arousal, and dominance emotional numbers than the rest. In a multiple variable verification result, a resolution and the distance of happiness and excitement showed a positive correlation.

• Science of Emotion and Sensibility
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• v.15 no.1
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• pp.87-96
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• 2012

This paper proposes a Image retrieval system that searches the closest images to the user's emotional need and displays images with higher ratings of color harmony from Moon-Spencer's Color Harmony Theory first. Once an emotional adjective is placed, the system searches for images with colors that contain more elements derived from Aesthetic Measure results and displays in such order. In order to test reliability of the proposed emotion retrieval method based on Moon-Spencer's Color Harmony Theory, this study compared the order of Aesthetic Measure results with the user satisfaction ratings using 200 sample images. The analysis demonstrated that the participants' average satisfaction on 15 emotion adjectives selected for the study was 5.0 on a 7-point Likert scale. Correlation analyses were performed to test the consistency the orders between Aesthetic Measure values and user satisfaction ratings. Positive correlations above R=.5 were observed in all 14 emotion words except "Clear". These findings prove the potential of the proposed emotion retrieval system based on Moon-Spencer's Color Harmony Theory to effectively reflect user emotion in such visual stimulus search as image database.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.79-82
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• 2009

Movies are not only for projecting graphical contents but also for Kansei evaluation that stimulate human beings' sense and emotion in real time. Also, when one views movies or moving images with stories, including movies and dramas, the audience would often be sympathized through various factors of movies, such as performances of actors/actress, graphics, and music, are moved to tears and feel fear. Especially, emotional movement is different from impression and brought about as a result of responding to joy, which is one of the basic emotions of human beings. Moreover, it is suggested that emotion is the most positive aesthetic measurement toward objects. In this study, focusing on emotional movement that is one of many aesthetic reactions in human beings' watching movies, we developed an interface for measuring of emotional changes. The goal of this study is to apply the output of our quantitative analysis on the results of the measurements to the effective designing and production of movies.

• Journal of Digital Contents Society
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• v.12 no.4
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• pp.541-550
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• 2011

MotionTypography is crucial to effective emotional communication in digital society. In this paper, I study movements to represent emotion using motiontypography and approach two goals: First to define an emotional measure by means of emotion assesses by the public, Second to research image characteristics corresponding to movements. In this dissertation, we collect emotional words by literature and experimental surveys and extract representative emotional words using KJ method and clustering analysis. The results of research, the emotional axes selected for motiontypography represent 'calm to active' and 'soft to stiff', the viewers feel a specific emotional state from some movements of motiontypography. If, we investigate the relationship of motiontypographic visual elements with emotional words are achieved together, I think it will serve as a motiontypographic guideline that enables helping the public to easily produce motiontypography.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.200-204
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• 2006

They use emoticons as assistance to express their emotion on CMC communications. Emoticons have been developed into diverse forms like text emoticon, image emoticon, animation emoticon. However emoticons represent the emotion only in simple way, not in specific because the shortage of grouping expressions of the emotion. So, the emoticons used nowadays should be grouped specifically in order to help produce the modulated animation emoticons those are able to represent the feeling in specific and diverse way and be used conveniently. Therefore, this thesis is going to propose the design method of a new kind of animation emoticons those can make what animation emoticons used nowadays are not able to through the grouping and analyzing expression images according to faces, gesture(hand), and backgrounds(decoration) focused on the animation emoticons in messenger programs.