• Science of Emotion and Sensibility
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• v.25 no.1
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• pp.129-142
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• 2022

This study evaluates a program developed for a high school-university linked class. The program combines maker education and smart clothing technology, which has great potential. First, in the preparation stage, the dyeing design course incorporates the contents of previous studies on smart clothing and maker education. Second, in the development stage, a program was developed to make emotional eco-bags by applying the transfer dyeing technique using transfer paper for inkjet printers and smart clothing technology using conductivity thread and LED bulbs. Third, in the implementation stage, the class was offered to 17 high school students who want to major in clothing and textiles. Lastly, the class was evaluated. The program had a 4.95 satisfaction level as measures on a five-point scale. Furthermore, this paper suggested an advanced program with Lilypad Arduino. In conclusion, through this study, it was confirmed that the emotional eco-bag development program applied with conductive yarn and transfer dye could more easily produce smart clothing technology, thereby expanding the thinking of high school students regarding the clothing major.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.11
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• pp.447-454
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• 2022

In the era of the 4th industrial revolution, we are living in a flood of information. It is very difficult and complicated to find the information people need in such an environment. Therefore, in the flood of information, a recommendation system is essential. Among these recommendation systems, many studies have been conducted on each recommendation system for movies, music, food, and clothes. To date, most personalized recommendation systems have recommended clothes, books, or movies by checking individual tendencies such as age, genre, region, and gender. Future generations will want to be recommended clothes, books, and movies at once by checking age, genre, region, and gender. In this paper, we propose a recommendation system that recommends personalized clothes and food at once according to the user's emotions and weather. We obtained user data from Twitter of social media and analyzed this data as user's basic emotion according to Paul Eckman's theory. The basic emotions obtained in this way were converted into colors by applying Hayashi's Quantification Method III, and these colors were expressed as recommended clothes colors. Also, the type of clothing is recommended using the weather information of the visualcrossing.com API. In addition, various foods are recommended according to the contents of comfort food according to emotions.

• Korea Science and Art Forum
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• v.25
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• pp.463-475
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• 2016

As the transition to the digital age in the late 20th century, the intrinsic value of the craft, the emotional values of human, has been noticed as an alternative to overcome the adverse effects of the modernism of the industrial age. To introduce experimental tries which convergence of contemporary technologies and elements of traditional craft, and to inspire artists and present the new possibility of creation to them who want to take advantage of craft emotion as the elements of creation is the purpose of this study in the current digital technology age. First, the meaning and value of craft in modern times and digital media and hybrid creation environments are theoretically investigated based on previous studies and literature. Second, design cases produced by combining digital technology as a tool and craft elements are classified for substantial understanding of the design. Thirdly, identify the design characteristics presented through case studies and suggest the new possibility of creation. The results of the study are as follows. Reject typical types highlight the functional role and try free express conversion, e.g. form, material, texture, making process etc. Extracts the various elements that can be applied and search combining ways, because the convergence of digital technology and the craft is sufficient to activate the human emotion. Interaction between the craft and the digital medium is made actively. Craft accepts digital form, the craft appeared again as the contents of the digital. the traditional and digital method appropriately fused and utilized depending on the situation in process.

• Korean Journal of Culture and Social Issue
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• v.13 no.2
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• pp.55-76
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• 2007

This study investigated the relationship between emotional contagion and altruistic behaviors and also examined the moderating effect of self-construals(independent and interdependent self) in this relationship. It was hypothesized that the emotional expression of people in need would be caught by others through automatic mimicry, that emotional information would be internalized through the facial-feedback process and that the transferred emotion would eventually result in a motive to call for altruistic behaviors. In Study 1, participants watched a video clip about a disabled student reporting difficulties in school life but showing facial expression opposite to the contents of message to separate emotional contagion and empathy. Participants' decision to participate in voluntary works for the disabled student was measured. As a result, it was found that the more participants experienced emotional contagion, the more they participated in altruistic behaviors. Study 2 measured the vulnerability to emotional contagion, actual experiences of altruistic behaviors, and self-construals. The results of hierarchical regression showed that interdependent self moderated the influence of emotional contagion on altruistic behaviors whereas independent self moderated the relationship in an opposite direction. The implications of emotion and altruistic behaviors in human evolution process are discussed.

• Science of Emotion and Sensibility
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• v.26 no.4
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• pp.103-114
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• 2023

Augmented reality (AR) and virtual reality (VR) differ fundamentally, with AR overlaying computer-generated information onto the real world in a nonimmersive way. Despite extensive research on cybersickness in VR, its occurrence in AR has received less attention (Vovk et al., 2018). This study examines cybersickness and discomfort associated with AR usage, focusing on the impact of content intensity and exposure time. Participants viewed 30-minute racing simulation game clips through AR equipment, varying in racing speed to alter content intensity. Cybersickness was assessed subjectively using the Simulator sickness questionnaire (SSQ; Kennedy et al., 1993). Findings revealed a progressive increase in cybersickness with longer exposure, persisting even after removing the AR equipment. Contrarily, content intensity did not significantly influence cybersickness levels. Analysis of the SSQ subscales revealed higher oculomotor (O) scores compared to nausea (N) and disorientation (D), suggesting that discomfort primarily stemmed from oculomotor strain. The study highlights distinct differences in user experience between AR and VR, specifically in subjective responses.

• Cartoon and Animation Studies
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• s.19
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• pp.17-35
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• 2010

We can say that there are several majors in the course of cartoon education of college; cartoon, manpyung, 4 panel comic strips, editorial cartoon, webtoon and so on. Among them, this study starts with concrete question; "How can we encourage students to understand 4 panel comic strips better in the educational course of 4 panel comic strips?" 4 panel comic strips divided into two groups, depending on the materials. The first is daily cartoon which depicts the emotion in daily life. The second is editorial cartoon which deals with the problems of society in the ironical and witty way. Judging from my own thoughts that it would be better in the understanding and analysis of structures to take editorial cartoon in which materials are confined to social problems, this study treats rhetoric expression and structures of 4 panel comic strips. Introduction, development, turn and conclusion of "Jangdori" on Kyunghyangsinmoon are good materials for this study. So, "Jangdori" is in the center of this study. The objective of this study is to provide knowledge in creating 4 panel comic strips with the understanding the area of 4 panel comic strips through the analysis of the rhetoric expression and structures of this field. Even though this study has a limit, no access to daily 4 panel comic strips, I hope that this study would be a little help in any places in which the education of 4 panel comic strips is needed as a part of a course of cartoon in college.

• Journal of the Korean Society of School Health
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• v.3 no.1
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• pp.59-72
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• 1990

The study reserches the related contents of the health education in the existing gymnastics and the domestics textbook, catches learning-Ulaching contents by the health-control function and compares the contents with the health-education curriculum of the Texas State in America. This study is questioned and reserched the general features of the teachers who is change in the health education, their attitudes about the teaching of it, and the recognition degree about their health education. The results above is like the following. 1. Learning-teaching contents by the health-control function. The domestics and gymnastics which contains the health education contents, is not discripted continually and at the same time is short of the contents in the health-control function according to the students' individual domains. Also the recent serious problems, (that is, Smoking, Drinking and Medical poisoning, Emotion, and Psychic domains) were no mentioned. 1) In gymnastics textbook, the physical domains are mentioned 8, 9 in juinor, and senior class, the affective, psychic domains only senior class and the social domains only 1 grade except junior and senior class. Growth-development function is concentratedly stated only 1 grade in physical domains and there is no stated in. The social domains are referred a little in senior class. In cure-recovery functions, the physical domains is being taught in 2, and 3 grade, but not 1 grade. Specially, the social domains are being taught in all grade, but, the affective domains are not at all 2) In the subject of domestics, the physical domains of the daily life functions are taught in all the years, but the emotional, mental domains are taught a little in 1 and 2 grades. The growth-development functions are being taught about the nutrition-health, in the physical parts of all graries, and the emotional-mental, social domains are being taught some in 7 and 8 grade except 3 grade, he cure-recovery functions ere taught in only 1 grade, the contents of rehabilitative functions are not being taught like gymnastics. 2. The general characteristics of the health-education teachers and the health-education. In the calss field, the average age of gymnastics-teachers is from 35 to 40 years old, and it of domestics teachers is from 24 to 29 years old. 1) In the class-hours a week, the gymnastics teachers take lessons 3 hours (75.6%) and the domestics teachers 4 hours (65.6%). In "the health-lessons hours alloted"in a semister, 3 or 4 hours is 38.7% and no hours is 18.0% in gymnastics teachers. On the other hand, there is no hours to teach the health-education in domestics teachers. About the opinion: the health subject must be taught as a independent subject, 42.9% of the gymnastics teachers agreed and 45.3 % of the domestics teachers did. 2) The factors which have an influence upon the health-teachers #. In age, the class lesson hours of a week(r= .0014), the confident manner about the lessons(r= .0485) and the necessity of the lessons (r= .0316) are closely related one another. #. In sexes, the lesson hours a class(r= .0000), the alloted hours of health lesson a semister(r= .0000) the confident manner about the class(r= .0001). the quantity of lesson(r= .0001): and, the teacher's belief(r= .0264) are co-related one another. #. In subject in change. the class hours a week(r= .0000), the alloted hours of health-lesson a semister(r= .0000) the quantity of the lesson(r= .0114) are co-related each other. #. In majority, the class lesson hours a week(r= .0000) the alloted hours of health lesson a semister(r= .0000) the quantity of the lesson are co-related each other. The quantity of lesson and the confidence about the lesson (r= .3223) and the quantity of lesson and the interest of lesson (r= .2450) are co-related each other.

• Journal of Intelligence and Information Systems
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• v.19 no.4
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• pp.81-96
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• 2013

Video information retrieval has become a very important issue because of the explosive increase in video data from Web content development. Meanwhile, content-based video analysis using visual features has been the main source for video information retrieval and browsing. Content in video can be represented with content-based analysis techniques, which can extract various features from audio-visual data such as frames, shots, colors, texture, or shape. Moreover, similarity between videos can be measured through content-based analysis. However, a movie that is one of typical types of video data is organized by story as well as audio-visual data. This causes a semantic gap between significant information recognized by people and information resulting from content-based analysis, when content-based video analysis using only audio-visual data of low level is applied to information retrieval of movie. The reason for this semantic gap is that the story line for a movie is high level information, with relationships in the content that changes as the movie progresses. Information retrieval related to the story line of a movie cannot be executed by only content-based analysis techniques. A formal model is needed, which can determine relationships among movie contents, or track meaning changes, in order to accurately retrieve the story information. Recently, story-based video analysis techniques have emerged using a social network concept for story information retrieval. These approaches represent a story by using the relationships between characters in a movie, but these approaches have problems. First, they do not express dynamic changes in relationships between characters according to story development. Second, they miss profound information, such as emotions indicating the identities and psychological states of the characters. Emotion is essential to understanding a character's motivation, conflict, and resolution. Third, they do not take account of events and background that contribute to the story. As a result, this paper reviews the importance and weaknesses of previous video analysis methods ranging from content-based approaches to story analysis based on social network. Also, we suggest necessary elements, such as character, background, and events, based on narrative structures introduced in the literature. We extract characters' emotional words from the script of the movie Pretty Woman by using the hierarchical attribute of WordNet, which is an extensive English thesaurus. WordNet offers relationships between words (e.g., synonyms, hypernyms, hyponyms, antonyms). We present a method to visualize the emotional pattern of a character over time. Second, a character's inner nature must be predetermined in order to model a character arc that can depict the character's growth and development. To this end, we analyze the amount of the character's dialogue in the script and track the character's inner nature using social network concepts, such as in-degree (incoming links) and out-degree (outgoing links). Additionally, we propose a method that can track a character's inner nature by tracing indices such as degree, in-degree, and out-degree of the character network in a movie through its progression. Finally, the spatial background where characters meet and where events take place is an important element in the story. We take advantage of the movie script to extracting significant spatial background and suggest a scene map describing spatial arrangements and distances in the movie. Important places where main characters first meet or where they stay during long periods of time can be extracted through this scene map. In view of the aforementioned three elements (character, event, background), we extract a variety of information related to the story and evaluate the performance of the proposed method. We can track story information extracted over time and detect a change in the character's emotion or inner nature, spatial movement, and conflicts and resolutions in the story.

• Journal of Intelligence and Information Systems
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• v.18 no.1
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• pp.39-57
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• 2012

Recently, due to the introduction of high-tech equipment in interactive exhibits, many people's attention has been concentrated on Interactive exhibits that can double the exhibition effect through the interaction with the audience. In addition, it is also possible to measure a variety of audience reaction in the interactive exhibition. Among various audience reactions, this research uses the change of the facial features that can be collected in an interactive exhibition space. This research develops an artificial neural network-based prediction model to predict the response of the audience by measuring the change of the facial features when the audience is given stimulation from the non-excited state. To present the emotion state of the audience, this research uses a Valence-Arousal model. So, this research suggests an overall framework composed of the following six steps. The first step is a step of collecting data for modeling. The data was collected from people participated in the 2012 Seoul DMC Culture Open, and the collected data was used for the experiments. The second step extracts 64 facial features from the collected data and compensates the facial feature values. The third step generates independent and dependent variables of an artificial neural network model. The fourth step extracts the independent variable that affects the dependent variable using the statistical technique. The fifth step builds an artificial neural network model and performs a learning process using train set and test set. Finally the last sixth step is to validate the prediction performance of artificial neural network model using the validation data set. The proposed model is compared with statistical predictive model to see whether it had better performance or not. As a result, although the data set in this experiment had much noise, the proposed model showed better results when the model was compared with multiple regression analysis model. If the prediction model of audience reaction was used in the real exhibition, it will be able to provide countermeasures and services appropriate to the audience's reaction viewing the exhibits. Specifically, if the arousal of audience about Exhibits is low, Action to increase arousal of the audience will be taken. For instance, we recommend the audience another preferred contents or using a light or sound to focus on these exhibits. In other words, when planning future exhibitions, planning the exhibition to satisfy various audience preferences would be possible. And it is expected to foster a personalized environment to concentrate on the exhibits. But, the proposed model in this research still shows the low prediction accuracy. The cause is in some parts as follows : First, the data covers diverse visitors of real exhibitions, so it was difficult to control the optimized experimental environment. So, the collected data has much noise, and it would results a lower accuracy. In further research, the data collection will be conducted in a more optimized experimental environment. The further research to increase the accuracy of the predictions of the model will be conducted. Second, using changes of facial expression only is thought to be not enough to extract audience emotions. If facial expression is combined with other responses, such as the sound, audience behavior, it would result a better result.

• Journal of The Korean Association For Science Education
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• v.42 no.3
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• pp.325-340
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• 2022

This study attempts to analyze the causes of low affective achievement of elementary, middle, and high school students in Korea in science. To this end, a total of 27 students, three to four students per grade, were interviewed by grade from the fourth grade of elementary school to the first grade of high school, and a total of nine teachers were interviewed by school level. In the interview, related questions were asked in five sub-areas of the 'Indicators of Positive Experiences about Science': 'Science Academic Emotion', 'Science-Related Self-Concept', 'Science Learning Motivation', 'Science-Related Career Aspiration', and 'Science-Related Attitude'. Interview contents were recorded, transcribed, and categorized. As a result of examining the causes of low science academic emotion, it was found that students experienced negative emotions when experiments are not carried out properly, scientific theories and terms are difficult, and recording the inquiry results is burdensome. In addition, students responded that science-related self-concept changed negatively due to poor science grades, difficult scientific terms, and a large amount of learning. The reasons for the decline in science learning motivation were the lack of awareness of relationship between science class content and daily life, difficulty in science class content, poor science grades, and lack of relevance to one's interest or career path. The main reason for the decline in science-related career aspirations was that they feel their career path was not related to science, and due to poor science performance. Science-related attitudes changed negatively due to difficulties in science classes or negative feelings about science classes, and high school students recognized the ambivalence of science on society. Based on the results of the interview, support for experiments and basic science education, improvement of elementary school supplementary textbook 'experiment & observation', development of teaching and learning materials, and provision of science-related career information were proposed.