Negative emotions play an important function as to human's existence. In this research, we employed the audio-visual film clips to induce negative emotions and examined the classified responses in the autonomic nervous system(ANS) due to each negative emotion.30 adults(22.6 years $old{\pm}1.24$, 15 males and 15 females) took part in this experiment. Through the preliminary experiment, 2 minutes film's stimuli were selected as the emotion-induced stimuli. During the period when participants were viewing and listening to the selected movie, EDA and ECG were examined as soon as one stimulus was displayed, participants were tested by completing the psychological appraisals of their experienced emotion due to each emotional stimulus. With regard to the result of analyzing the psychological responses, each negative emotion appropriately and effectively induced its target emotion. While concerning the result of analyzing ANS responses, each negative emotion induced its respective activation in ANS. What is more, compared with other types of negative emotional stimuli, the scaring stimulus induced higher activation of the sympathetic nervour system(SNS) as to the indexes in EDh and ECG. This research made segmentation of ANS responses to each negative emotion, which has its significance.
Basic emotions such as happiness, sadness, anger, fear, and disgust have been widely used to investigate emotion-specific autonomic nervous system activity in many studies. On the contrary, surprise emotion, Suggested also as one of the basic emotions suggested by Ekman et al. (1983), has been least investigated. The purpose of this study was to provide a description of cardiovascular responses on surprise stimulus using electrocardiograph (ECG) and photoplethysmograph (PPG). ECG and PPG were recorded from 76 undergraduate students, as they were exposed to a visuo-acoustic surprise stimulus. Heart rate (HR), standard deviation of R-R interval (SD-RR), root mean square of successive R-R interval difference (RMSSD-RR), respiratory sinus arrhythmia (RSA), finger blood volume pulse amplitude (FBVPA), and finger pulse transit time (FPTT) were calculated before and after the stimulus presentation. Results show significant increase in HR, SD-RR, and RMSSD-RR, decreased FBVPA, and shortened FPTT. Evidence suggests that surprise emotion can be characterized by vasoconstriction and accelerated heart rate, sympathetic activation, and increased heart rate variability, parasympathetic activation. These results can be useful in developing an emotion theory, or profiling surprise-specific physiological responses, as well as establishing the basis for emotion recognition system in human-computer interaction.
Public awareness of alien species can vary by generation, period, or specific events associated with these species. An understanding of public awareness is important for the management of alien species because differences in public awareness can affect the establishment and implementation of management plans. We analyzed digital texts on social media platforms, news articles, and internet search volumes used in conservation culturomics to understand public interest and sentiment regarding alien freshwater species. The number of tweets, number of news articles, and relative search volume to 11 freshwater alien species were extracted to determine public interest. Additionally, the trend over time, seasonal variability, and repetition period of these data were confirmed. We also calculated the sentiment score and analyzed public sentiment in the collected data using sentiment analysis based on text mining techniques. The American bullfrog, nutria, bluegill, and largemouth bass drew relatively more public interest than other species. Some species showed repeated patterns in the number of Twitter posts, media coverage, and internet searches found according to the specified periods. The text mining analysis results showed negative sentiments from most people regarding alien freshwater species. Particularly, negative sentiments increased over the years after alien species were designated as ecologically disturbing species.
Grotesque, which has often emerged as a breakthrough in Western art to protest rational and classical pure beauty, is often seen in modern art. Grotesque, along with the concept of pendulum, appears in infinitely expanded forms across cultures, arts, and society. In particular, transformed body images through deformatization and deformatization of the body are interpreted as strong rejections that seek to break away from formalized beauty. The main purpose of this study is how the body reproduced through body deformation, distortion, and bonding in Dimitris Papaioannou's work can be interpreted within the grotesque category. To this end, he examines the Grotesque discourse and modern meaning underlying the interpretation of the work and identifies how the fragmented and expanding body, which is currently actively discussed in the dance world, has an interaction with Grotesque. It selects , , , and , which are the main attributes of the grotesque, focus on conflicting familiarity, life, hatred, and beauty. Based on this, we would like to confirm that in contemporary dance, the reconstructed body reveals concealed things rather than expressing an unrealistic fictional world, and seeks new possibilities beyond boundaries as well as reconsider existing aesthetic views.
Fake news is flooded with fake news that mixes untrue falsehoods in whole or in part. In order to create a frame for political and social purposes, news is mainly created by combining facts with fakes, or news is created for the purpose of incitement to encourage distortion and hatred. In particular, some media, including over-the-air broadcasting, are expressing their political bias in a specific direction without hesitation. Even if the press has political bias, if it is based on the delivery of facts, a trusted media environment can be achieved under the mutual checks of conservatives and progressives. The May 18 Democratic Uprising is a painful history and fact of modern history, leaving remuneration and progress. Nevertheless, there is still a view that the May 18 Democratic Uprising is regarded as 'democracy movement' and 'violence'. This study analyzed how the conservative JoongAng Ilbo and the progressive Kyunghyang Shinmun Manpyeong deal with the May 18 Democratic Uprising. The Manpyeong of the two newspapers differs greatly from the viewpoint of the May 18 Democratic Uprising. The liberal tendency of the Kyunghyang Shinmun Manpyeong has great significance in that it reveals the essence of the event and satirizes the subject. On the other hand, the conservative JoongAng Ilbo Manpyeong cannot approach the nature of the case or the object of satire due to ambiguity.
Donghae Port is adjacently located to a residential area wherein 26,933 generations are creating a living environment. The areas comprise Song-jeong village (5,754 generations) and Bukp-yeong village (21,179 generations). Major cargoes handled in Donghae Port are dusty limestone, cement, anthracite, and bituminous coal, etc. In the process of handling such cargoes, air pollutants including oxide dust and fine dust which adversely impact the living conditions and health of residents are generated, causing air pollution in the vicinity of the port. Currently, Donghae Port is making an effort to improve the operation environment of the infrastructure and equipment in stages, for the purpose of reducing air pollutant emissions caused by the port industries in a long-term perspective. In this study, the sphere of influence of fine dust exposure and the degree of air pollution in the surrounding area were analyzed such as the state of fine dust concentration and diffusion in the vicinity of Donghae Port, fine dust diffusion pattern and spatial distribution of high-concentration considering wind direction and speed characteristics during the day and seasonal cycles. A more effective plan to reduce the concentration of fine dust in nearby areas by combining reduction plan, is being developed in terms of improvement regarding port infrastructure and equipment, and reduction measures considering the characteristics of the atmosphere environment according to the daytime, nighttime and season.
Conversational AI which allows users to interact with satisfaction is a long-standing research topic. To develop conversational AI, it is necessary to build training data that reflects real conversations between people, but current Korean datasets are not in question-answer format or use honorifics, making it difficult for users to feel closeness. In this paper, we propose a conversation dataset (KOMUChat) consisting of 30,767 question-answer sentence pairs collected from online communities. The question-answer pairs were collected from post titles and first comments of love and relationship counsel boards used by men and women. In addition, we removed abuse records through automatic and manual cleansing to build high quality dataset. To verify the validity of KOMUChat, we compared and analyzed the result of generative language model learning KOMUChat and benchmark dataset. The results showed that our dataset outperformed the benchmark dataset in terms of answer appropriateness, user satisfaction, and fulfillment of conversational AI goals. The dataset is the largest open-source single turn text data presented so far and it has the significance of building a more friendly Korean dataset by reflecting the text styles of the online community.
The Journal of the Convergence on Culture Technology
/
v.9
no.4
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pp.409-414
/
2023
We described how to implement character expressions and animations that play an important role in expressing emotions and personalities in low-polygon character animation. With the development of the video industry, character expressions and mouth-shaped lip-syncing in animation can realize natural movements at a level close to real life. However, for non-experts, it is difficult to use expert-level advanced technology. Therefore, We aimed to present a guide for low-budget low-polygon character animators or non-experts to create mouth-shaped lip-syncing more naturally using accessible and highly usable features. A total of 8 mouth shapes were developed for mouth shape lip-sync animation: 'ㅏ', 'ㅔ', 'ㅣ', 'ㅗ', 'ㅜ', 'ㅡ', 'ㅓ' and a mouth shape that expresses a labial consonant. In the case of facial expression animation, a total of nine animations were produced by adding highly utilized interest, boredom, and pain to the six basic human emotions classified by Paul Ekman: surprise, fear, disgust, anger, happiness, and sadness. This study is meaningful in that it makes it easy to produce natural animation using the features built into the modeling program without using complex technologies or programs.
The climate crisis threatens Earth's ecosystems and biodiversity. In particular, it can be said that the cause of the global crisis began with human greed. An educational alternative is needed to change the Christian worldview that causes greed. The purpose of this study is to find ways to apply democratic citizenship education to Christian education as an alternative to overcome the climate crisis. The contents of the study to achieve the purpose were first the essence of Christian citizenship education was examined by dividing it into citizenship education, democratic citizenship education, and Christian citizenship education. Second, The model of democratic citizenship education was established by defining its goals, content, methods, and directions within the context of Christian citizenship education. Third, the application plan of Christian education for democratic citizenship education was classified into 7 categories and proposed; environmental education to overcome the climate crisis, ethical education to restore the public role of the church, education to form God's character, education to realize the village education community, education that promotes Christ's peace and Christ education that fosters consideration for multicultural individuals, and literacy education to prevent the negative impacts of digital media culture. Next, the plan to apply democratic citizenship education to Christian education is, first, to reduce human greed and restore God's creation order through environmental education that can overcome the climate crisis. Second, through ethics education to restore the church's public nature, it is necessary to restore the church's role for the church's moral empathy and publicity. Third, through the education that forms the God's character, it is necessary to form a mature character of faith in which personality and faith are harmonious and balanced. Fourth, schools, villages, and churches form a community through education that realizes a village education community so that the members of the village can obtain educational results. Fifth, through education that aims for the peace of the God Christians should be able to live as Christian democratic citizens who achieve peace in the kingdom of God. Sixth, through education that considers multicultural people, faith education that helps them overcome discrimination, exclusion, and hatred toward multicultural people with the love of Jesus Christ and seek a life of coexistence. Seventh, through literacy education that prevents the harmful effects of digital media culture, personal ability to read and write in media should ultimately be improved to the ability to practice socially.
Lee, Sang Won;Choi, Chang Wook;Kim, Dong Sung;Yeo, Woon Young;Kim, Jong Woo
Journal of Intelligence and Information Systems
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v.24
no.4
/
pp.51-66
/
2018
As AI (Artificial Intelligence) technologies have been swiftly evolved, a lot of products and services are under development in various fields for better users' experience. On this technology advance, negative effects of AI technologies also have been discussed actively while there exists positive expectation on them at the same time. For instance, many social issues such as trolley dilemma and system security issues are being debated, whereas autonomous vehicles based on artificial intelligence have had attention in terms of stability increase. Therefore, it needs to check and analyse major social issues on artificial intelligence for their development and societal acceptance. In this paper, multi-categorical sentiment analysis is conducted over online public opinion on artificial intelligence after identifying the trending topics related to artificial intelligence for two years from January 2016 to December 2017, which include the event, match between Lee Sedol and AlphaGo. Using the largest web portal in South Korea, online news, news headlines and news comments were crawled. Considering the importance of trending topics, online public opinion was analysed into seven multiple sentimental categories comprised of anger, dislike, fear, happiness, neutrality, sadness, and surprise by topics, not only two simple positive or negative sentiment. As a result, it was found that the top sentiment is "happiness" in most events and yet sentiments on each keyword are different. In addition, when the research period was divided into four periods, the first half of 2016, the second half of the year, the first half of 2017, and the second half of the year, it is confirmed that the sentiment of 'anger' decreases as goes by time. Based on the results of this analysis, it is possible to grasp various topics and trends currently discussed on artificial intelligence, and it can be used to prepare countermeasures. We hope that we can improve to measure public opinion more precisely in the future by integrating empathy level of news comments.
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