• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.445-455
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• 2022

Financial service chatbots are hindering user experience with conversational errors and machine-like responses. This study aims to examine the effect of self-disclosure and emotional expression of an anthropomorphic chatbot on user experience before conversation errors occur in financial services. In financial inquiries, scenarios were designed based on self-disclosure type (positive vs. negative) and emotional expression level(high confident vs. low confident), and online experiments were conducted. The result revealed that when anthropomorphic chatbot provided self-disclosure and emotional expression, the main effect has been shown on trust, annoyance, service recovery, and intention to continuous use. In addition, interaction effects were significant in trust and annoyance. In conclusion, this paper demonstrated that anthropomorphic chatbot's positive self-disclosure and confident emotional expression influenced trust and annoyance.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.375-381
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• 2022

The purpose of this study is to find out the spatial expression characteristics of Philipstock from a heterotopic perspective in the background of the times of modern people struggling to live in the era of an infectious disease called COVID-19 along with the era of the 4th industrial revolution. As for the research method, a total of 11 places were selected, focusing on the completed works of interior space from 2015 to the present, when they are more active after retirement, to find out the characteristics of spatial expression through literature and case studies. As a result, the spatial expression characteristics of narrative that only space has were the most frequent, and it was found that the characteristics of imaginary space and fantasy, which are the form of overlapping time to express a place, were interrelated. Philip Stock's design method, which uses narrative, fantasy, and imaginary spatial characteristics, can be seen as sufficiently representing heterotopic characteristics and can be used as another design methodology when designing a new space.

• Journal of Naturopathy
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• v.10 no.1
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• pp.48-55
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• 2021

Purpose: People with intellectual disabilities are vulnerable to the use of receptive and expressive vocabulary. The purpose of this study was to investigate the effect on the receptive vocabulary and the expressive vocabulary after teaching reading education to adults with intellectual disabilities living in facilities using picture fairy tales. Methods: The subjects of this study were 12 adults with intellectual disabilities under the age of 20 to 40 residing in residential facilities. They were divided into 6 test groups and 6 control groups, and gave a total of 12 sessions of 60 minutes per session, and reading instruction using picture fairy tales. Results: In the test group that conducted reading activities using picture fairy tales, the use of the receptive vocabulary was significantly improved, and the use of the expressive vocabulary was significantly improved. There were no significant results in all of the control groups. Conclusions: This study had the effect of improving the use of receptive vocabulary and expressive vocabulary after teaching reading using picture fairy tales for the disabled. It is estimated that this result will be the basis for research in this field.

• Education of Primary School Mathematics
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• v.25 no.3
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• pp.233-249
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• 2022

Measurement plays an important role in both school mathematics and real life. Among the measurement areas, length is the first to learn and is the basis for measurement. Time is measured in its own way and is characterized by being the most abstract. This study attempted to analyze elementary mathematics textbooks and representations in real life to examine how the length and time of learning in school mathematics differ from those represented in real life. Based on this, we tried to derive implications for the direction of measurement education and elementary math textbooks. As a result of the analysis, the concept of length was used the same in real life and school mathematics. However, terms such as distance, depth, and height were not defined, and the representation of the approximate value was presented in a fragmentary form. In addition, there were parts where students were likely to feel confused in school mathematics and real life, such as the same units such as 'minutes and seconds' were used in time. Therefore, considering these differences, it is necessary to consider the direction of composition of math textbooks and teaching and learning so that students can connect school mathematics and real life and understand widely about measurement concepts.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.29 no.4
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• pp.350-355
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• 1984

The present researches were carried out to classify the species of ginseng by electrophoretic methods with isozyme patterns of LAP. esterase, GOT, phosphatase, peroxidase and proteins. All variants of Korean and Japanese ginseng had identical band patterns of the investigated enzymes in roots as well as in seeds. However, American ginseng had different patterns from those of Korean or Japanese.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.111-120
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• 2024

This study, we explored the representation of makeup in the artworks of Cheon Gyeong-ja (1924-2015), a female painter from Korea, with a focus on her women-centric paintings. Cheon Gyeong-ja, breaking away from the traditional Oriental framework of Korean modern art, emerged as a leading female artist who pioneered color painting. Through her distinctive techniques, she unfolded a world of art centered around women, using characteristic subjects such as women and flowers to express vibrant colors. This was aimed at clearly conveying the meanings she intended from her inner world to society. By examining the makeup depicted in female portraits, we investigated the diverse representations of women's makeup and its correlation with the painted figures. Exploring the characteristic makeup aspects in the artworks allowed us to delve into the inherent meanings embedded within the colors and paintings. Given the significance of this exploration in my life, I hope this translation serves the purpose well.

• Journal of the Korea Computer Graphics Society
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• v.30 no.3
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• pp.109-123
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• 2024

Research into vision-based end-to-end autonomous driving systems utilizing deep learning and reinforcement learning has been steadily increasing. These systems typically encode continuous and high-dimensional vehicle states, such as location, velocity, orientation, and sensor data, into latent features, which are then decoded into a vehicular control policy. The complexity of urban driving environments necessitates the use of state representation learning through networks like Variational Autoencoders (VAEs) or Convolutional Neural Networks (CNNs). This paper analyzes the impact of different image state encoding methods on reinforcement learning performance in autonomous driving. Experiments were conducted in the CARLA simulator using RGB images and semantically segmented images captured by the vehicle's front camera. These images were encoded using VAE and Vision Transformer (ViT) networks. The study examines how these networks influence the agents' learning outcomes and experimentally demonstrates the role of each state representation technique in enhancing the learning efficiency and decision- making capabilities of autonomous driving systems.

• Cartoon and Animation Studies
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• s.51
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• pp.361-390
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• 2018

Users of KakaoTalk emoticons use Kakao Talk emoticons as means of communicating their emotions in virtual space. Emotional state is represented by design element (auxiliary, color, form, motion) and storytelling element contained in emoticons. The purpose of this study is to investigate the factors of the storytelling and design elements of kakaoTalk emoticons and how they prefer the kakaoTalk emoticons as emotional expression means. In terms of storytelling, crocodiles, peaches, dogs, ducks, lions, moles, and rabbits were made up of ordinary fruits and animals. Most of the emoticons are composed of stories with unique personality, and each story has a complex one by one, which makes it easy for users to approach and use them. In terms of design, I used various auxiliary elements (flame, sweat, tears, runny nose, angry eyes, etc.) to express angry, sincere, nervous, begging, joy, and sadness. The color elements consisted of most of the warm color series with the unique colors (green, red, yellow, pink, white, black, brown, etc.) of emoticon characters regardless of feelings of joy, anger, sadness, pleasure. The form factor is composed of a round shape when expressing factors such as joy and sadness. On the other hand, when FRODO and NEO express sadness and anger, they represent the shape of a rectangle. The motion elements are horizontal, vertical, and oblique expressions of APPEACH, NEO, TUBE, and JAY-G, expressing emotional expressions of sadness, anger, and pleasure. APEACH, TUBE, MUZI & / Shows the dynamic impression of the oblique and the radiation / back / forward / rotation. The anger of TUBE and FRODO shows horizontal / vertical / diagonal and radial motion. As a result of this study, storytelling is structured in accordance with each emoticon character. In terms of design, auxiliary elements such as flame, sweat, and tears are represented by images. The color elements used the unique colors of the character series regardless of the difference of emotion. The form factor represented various movements for each emotion expression. These findings will contribute to the development of communication, emotional design and industrial aspects. Despite the significance of the above paper, I would like to point out that the analysis framework of the storytelling and the semiotic analysis of the supplementary elements are not considered as limitations of the study.

• Korean Journal of Childcare and Education
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• v.9 no.6
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• pp.5-23
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• 2013

The purpose of this study was to examine the effect of young children's verbal expression on their prosocial behaviors. The subjects were 44 four-year-olds and 42 five-year- olds in nine kindergartens and daycare centers located in Gyeonggi-do. The instruments used were Verbal Expressiveness Inventory(Jang, 1981) and PBSYC for teachers(Kim, 2003). The major findings of the study were as follows: Concerning the correlations between their verbal expression and prosocial behavior, those who had better verbal expression showed more prosocial behavior. The relationships between the subfactors of verbal expression and those of prosocial behavior were inconsistent to some extent, but there was a positive correlation between the two overall. So it could be said that a better verbal expresson leads to better prosocial behavior. From the findings of the study on the effect of the verbal expression on prosocial behavior, it can be concluded that young children who have better verbal expression are more excellent at building a good peer relationship, helping their peers, being considerate, making themselves accessible, sharing their own belongings with peers and regulating their own emotions. This study is expected to assist early childhood education institutions to provide young children with a variety of educational activities geared toward improving verbal expression to improve their prosocial behaviors. Also, this study is expected to help teachers to improve the prosocial behavior of young children in diverse ways.

• Journal of Internet Computing and Services
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• v.16 no.3
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• pp.21-32
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• 2015

Since spatio-temporal local features for video representation have become an important issue of modeless bottom-up approaches in action recognition, various methods for feature extraction and description have been proposed in many papers. In particular, BoF(bag of features) has been promised coherent recognition results. The most important part for BoF is how to represent dynamic information of actions in videos. Most of existing BoF methods consider the video as a spatio-temporal volume and describe neighboring 3D interest points as complex volumetric patches. To simplify these complex 3D methods, this paper proposes a novel method that builds BoF representation as a way to learn 2D interest points directly from video data. The basic idea of proposed method is to gather feature points not only from 2D xy spatial planes of traditional frames, but from the 2D time axis called spatio-temporal frame as well. Such spatial-temporal features are able to capture dynamic information from the action videos and are well-suited to recognize human actions without need of 3D extensions for the feature descriptors. The spatio-temporal BoF approach using SIFT and SURF feature descriptors obtains good recognition rates on a well-known actions recognition dataset. Compared with more sophisticated scheme of 3D based HoG/HoF descriptors, proposed method is easier to compute and simpler to understand.