• Journal of Korea Multimedia Society
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• v.21 no.3
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• pp.400-414
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• 2018

It is required for today's video contents to interact with a viewer in order to provide more personalized experience to viewer(s) than before. In order to do so by providing friendly experience to a viewer from video contents' systemic perspective, understanding and analyzing the situation of the viewer have to be preferentially considered. For this purpose, it is effective to analyze the situation of a viewer by understanding the state of the viewer based on the viewer' s behavior(s) in the process of watching the video contents, and classifying the behavior(s) into the viewer's emotion and state during the flow. The term 'Flow-emotion-state' presented in this study is the state of the viewer to be assumed based on the emotions that occur subsequently in relation to the target video content in a situation which the viewer of the video content is already engaged in the viewing behavior. This Flow-emotion-state of a viewer can be expected to be utilized to identify characteristics of the viewer's Flow-situation by observing and analyzing the gesture and the facial expression that serve as the input modality of the viewer to the video content.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.69-74
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• 2018

Through the convergence of Internet technology and various information technologies, it is possible to collect and process vast amount of information and to exchange various knowledge according to user's personal preference. Especially, there is a tendency to prefer intimate contents connected with the user's preference through the flow of emotional changes contained in the movie media. Based on the information presented in the script, the user seeks to visualize the flow of the entire emotion, the flow of emotions in a specific scene, or a specific scene in order to understand it more quickly. In this paper, after obtaining the raw data from the movie web page, it transforms it into a standardized scenario format after refining process. After converting the refined data into an XML document to easily obtain various information, various sentences are predicted by inputting each paragraph into the emotion prediction system. We propose a system that can easily understand the change of the emotional state between the characters in the whole or a specific part of the various emotions required by the user by mixing the predicted emotions flow and the amount of information included in the script.

• The Journal of Information Systems
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• v.21 no.2
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• pp.161-180
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• 2012

One of them is online community which is popular among this modern society. However, it is not appropriate to suggest that online community is solely for personal usage or solely for work-related usage. The usage of online community goes beyond only one purpose. On the other hand, our daily activities whether personal or work-related activities are usually accompanied with preconception ideas whether it is a fun activity or not. However, even with this preconception, individuals are still enjoying themselves while doing activities that are considered as boring or mundane. Furthermore, individuals are really into the activities that they forgot about their surrounding and found themselves being in flow while conducting these activities. Unfortunately, there is little research done in South Korea addressing this emotion related factors. Because of that, more research concerning emotion related factors need to be conducted to better understand users behavior especially in online environment. With regards to that concern, this research studied two distinct everyday activities which are studying and playing games in online community. It is expected that when an individual feels more enjoyable and feels more comfortable, it will be more likely for them to be more satisfied. This satisfaction will lead them to being in a flow state. Hence, this study proposed three hypotheses. In order to investigate these three hypotheses, studies were conducted in two stages. The first stage was conducted in order to derive the implicit knowledge about fun from the participants. The second stage was done by an empirical study. It was conducted with two sample groups. The first group is the study group and the second group is the play games group. There were asked a set of questionnaires related to their enjoyment, comfort, satisfaction and flow while conducting the relevant activity. The results showed that both groups reached the state of flow regardless whether they belong to the study group or play games group. Therefore, the preconception idea about an activity does not promote or prevent individuals from feeling enjoyment, feeling comfortable and achieve satisfaction while conducting those activities.

• Journal of Intelligence and Information Systems
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• v.19 no.1
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• pp.79-94
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• 2013

Recently, the high value added business is steadily growing in the culture and art area. To generated high value from a performance, the satisfaction of audience is necessary. The flow in a critical factor for satisfaction, and it should be induced from audience and measures. To evaluate interest and emotion of audience on contents, producers or investors need a kind of index for the measurement of the flow. But it is neither easy to define the flow quantitatively, nor to collect audience's reaction immediately. The previous studies of the group flow were evaluated by the sum of the average value of each person's reaction. The flow or "good feeling" from each audience was extracted from his face, especially, the change of his (or her) expression and body movement. But it was not easy to handle the large amount of real-time data from each sensor signals. And also it was difficult to set experimental devices, in terms of economic and environmental problems. Because, all participants should have their own personal sensor to check their physical signal. Also each camera should be located in front of their head to catch their looks. Therefore we need more simple system to analyze group flow. This study provides the method for measurement of audiences flow with group synchronization at same time and place. To measure the synchronization, we made real-time processing system using the Differential Image and Group Emotion Analysis (GEA) system. Differential Image was obtained from camera and by the previous frame was subtracted from present frame. So the movement variation on audience's reaction was obtained. And then we developed a program, GEX(Group Emotion Analysis), for flow judgment model. After the measurement of the audience's reaction, the synchronization is divided as Dynamic State Synchronization and Static State Synchronization. The Dynamic State Synchronization accompanies audience's active reaction, while the Static State Synchronization means to movement of audience. The Dynamic State Synchronization can be caused by the audience's surprise action such as scary, creepy or reversal scene. And the Static State Synchronization was triggered by impressed or sad scene. Therefore we showed them several short movies containing various scenes mentioned previously. And these kind of scenes made them sad, clap, and creepy, etc. To check the movement of audience, we defined the critical point, ${\alpha}$and ${\beta}$. Dynamic State Synchronization was meaningful when the movement value was over critical point ${\beta}$, while Static State Synchronization was effective under critical point ${\alpha}$. ${\beta}$ is made by audience' clapping movement of 10 teams in stead of using average number of movement. After checking the reactive movement of audience, the percentage(%) ratio was calculated from the division of "people having reaction" by "total people". Total 37 teams were made in "2012 Seoul DMC Culture Open" and they involved the experiments. First, they followed induction to clap by staff. Second, basic scene for neutralize emotion of audience. Third, flow scene was displayed to audience. Forth, the reversal scene was introduced. And then 24 teams of them were provided with amuse and creepy scenes. And the other 10 teams were exposed with the sad scene. There were clapping and laughing action of audience on the amuse scene with shaking their head or hid with closing eyes. And also the sad or touching scene made them silent. If the results were over about 80%, the group could be judged as the synchronization and the flow were achieved. As a result, the audience showed similar reactions about similar stimulation at same time and place. Once we get an additional normalization and experiment, we can obtain find the flow factor through the synchronization on a much bigger group and this should be useful for planning contents.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.11a
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• pp.62-68
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• 2000

The aim of the study was to compare effects of music and white noise on the recovery of facial blood flow parameters after stressful visual stimulation. Twenty-nine subjects participated in the experiment. Three visual stimulation sessions with aversive slides (the IAPS, disgust category) were followed by subjectively "pleasant" (in the first session), "sad" music (in the second ), and white noise (in the third ). Order of sessions was counterbalanced. Blood flow parameters (peak blood flow, blood flow velocity, blood volume) were recorded by Laser Doppler single-crystal system (LASERFLO BPM 403A) interfaced through BIOPAC 100WS with AcqKnowledge software (v.3.5) and analyzed in off-line mode. Aversive visual stimulation itself decreased blood flow and velocity in all 3 sessions. Both "pleasant" and "sad" music led to the restoration of baseline levels in all blood flow parameters, while noise did not enhance recovery process. Music on post-stress recovery had significant change in peak blood flow and blood flow velocity, but not in blood volume measures. Pleasant music had bigger effects on post-stress recovery in peak blood flow and flow velocity than white noise. It reveals that music exerted positive modulatory effects on facial vascular activity measures during recovery from negative emotional state elicited by stressful slides. Results partially support the undoing hypothesis of Levenson (1994), which states that positive emotions may facilitate process of recovery from negative emotions.

• Science of Emotion and Sensibility
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• v.7 no.4
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• pp.67-75
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• 2004

In this paper, we analyze previous flow control algorithm for serving ABR traffic, and then propose the algorithm which calculate fair transmission rate and control efficiently ABR traffic using VS/VD switch which has an effect on PNNI environment with long delay. For getting the transmission rate, the proposed algorithm use FMMRA as ER scheme which calculate exactly the fair share. And, in large delay state, we can obtain fair cell sharing by calculating transmission rates which obtained by transmitted queue length information of VD to VS for serve and drain cell in queue Through the computer simulation, we evaluate the performance of proposed algorithm, According to the results, the proposed algorithm shows good performance.

• Journal of Digital Contents Society
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• v.15 no.1
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• pp.53-60
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• 2014

Even if shots in frames may be variable in both movies and animations, close-up reveals the significance of the subject in the focus. Because directors and animators take the place the actor as character in animation while performance of actor plays an important role in the close-up in the movies, it is significant to understand the close-up in the animation. In the present study we investigate the dramatic effect of close-up in the animation narrative in animations for theaters. Among the various dramatic effects of the close-up, the natural flow of the narrative and the induction of immersing in emotion are focused. Descriptive close-up is analyzed as a dramatic effect of inducing the natural flow of the narrative. Psychological close-up is analyzed as the induction of immersing emotion by effective delivery of internal mental state of a character. By analyzing symbolic close-up as the induction of immersing in the play by producing a dramatic effect, we expect that the close-up contribute to the advance of animation narrative structure.

• Science of Emotion and Sensibility
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• v.18 no.2
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• pp.19-30
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• 2015

The healing effect of the aroma treated fabrics with lavender and lemon aromas was investigated by assessing the autonomic nervous responses of human body. For this cause Lemon and lavender microcapsules were coated on a cotton fabric using a water-based acrylic binder, respectively. And the study created a total of four aroma treated fabrics at a concentration of 2% and 5% respectively. Electrocardiogram(ECG), skin conductance, and Blood flow, of ten participants were measured for 30 sec at a stable condition, at a stress status (working memory task), and at a stimulation status (after rubbing aroma treated fabrics). Subjective sensibilities of the aromas were also evaluated. With regard to the responses of the autonomic nervous system, in order to understand how the values gained after the normalization process would cause different physiological signals between the stable state and the aroma-stimulated state as well as between the stress state and the aroma-stimulated state, the study conducted a non-parametric test, friedman test as well and analyzed tendencies. LF/HF turned out to be significantly different to the stress state, and according to the results of the post-hoc comparison, lemon 5% presented statistically significant differences among the lavender 2%, lavender5%, lemon2%. Lemon 5% stimuli increased stress but stimuli consisting of the lavender 2%, the lavender 5% and the lemon 2% decreased stress because of a psychological rest. And the stimuli of the lavender 2%, the lavender 5%, the lemon 2% presented a healing effect in this research.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.334-342
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• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.149-156
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• 2010

There are elements for the game user get into the emotion of flow (the mental state of operation in which the person is fully immersed in what he or she is doing by a feeling of energized focus, full involvement, and success in the process of the activity). In game contents, for example, a considerable sophisticated application of 'sound' is one of the important elements must be considered for a qualified game development process. If a proper audio condition is satisfied, a game user is intrinsically solving problems by auditorial sense and the participant get into immersing into the game spontaneously. There are elements in game contents storytelling for the user to be in flow condition, this study will be analyzing a game user's flowing, especially with repetitive usage of sound. To be accurate, 'flow analysis' of Csikszentmihalyi. M, and 'flow factors' of Donna L. Hoffman & Thomas P. Novak, in addition, would be proper references in the research. comparing to a precedent study that analyzed a game and flow focused on visual elements. Ponpoko(Sigma Enterprise Inc., 1981) and Bio Hazard 4(Capcom, 2007) will be given as the main texts. To achieve the desired proposition in the study, user's reaction is monitored by listening repeatable and ordinary sound. Questionnaires are including Frequency Analysis, MANOVA(multivariate analysis of variance).