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Usability Comparison of Educational Webtoon between Touch Display and VR Device Using AttrakDiff (AttrakDiff를 활용한 터치디스플레이와 VR장비의 교육용 웹툰 사용성 비교)

  • Kim, Young-Jin;Yoo, Hoon-Sik
    • Science of Emotion and Sensibility
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    • v.25 no.1
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    • pp.103-114
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    • 2022
  • Global virtual reality (VR) and augmented reality (AR) markets are growing as VR and AR become a new source of revenue for industries around the world. In the edutech sector, an industry that combines traditional education, research on new innovative educational models and business models are scarce, and improvements are needed in the technology group and business environment to realize edutech in detail. Therefore, this study aims to define the elements strategically required for VR Toon development by comparing and analyzing the characteristics of existing touch panel-based display Toon and VR Toon content experiences. Tablet PC Toon and VR Toon were selected to conduct the research. Thirty people (19 men and 11 women) from their teens through their forties were surveyed using questionnaires. The questionnaires were formulated through a quantitative method by using AttrakDiff with a 7-point scale (-3: negative words to 3: positive words). Qualitative evaluations were also performed addressing nine concepts (satisfaction, novelty, operability, creativity, understanding, education, interest, participation, expressiveness). As a result, the usability test results of educational content using tablet personal computers and VR equipment were analyzed from the viewpoint of user experience to define elements expected to be strategically required for VR Toon development.

A Survey of Recommendation Intent for Small Business Tax Accounting Services (소규모 사업체의 세무회계서비스 추천 의향 조사)

  • Lee, Jaein;Kim, Sung-Hee
    • Science of Emotion and Sensibility
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    • v.25 no.2
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    • pp.71-78
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    • 2022
  • This study investigates the recommendation for tax accounting services used in many companies. In particular, it aims to create guidelines for small businesses with fewer than 100 employees, which are relatively difficult to manage in terms of cost or time. We surveyed 100 corporate officials on basic business information, such as the number of employees, job titles, and business type, as well as the type of tax accounting service, the recommended score for the service, the reason for the score, and other opinions related to tax accounting services. In particular, the recommendation score seeks to obtain more effective results by using the Net Promoter Score method, which is known to be more effective in understanding customer opinions than general customer satisfaction surveys. The survey revealed a Net Promoter Score for a recommendation of -33 points, lower than the general Net Promoter Score. It also indicated that tax accounting services need improvement. Specifically, the opinions of the respondents who gave a non-recommendation score were as follows: "Not inconvenient or comfortable," "It was just okay," "I don't know if it would be helpful," and "There is no differentiation and there are no special alternatives." We concluded that an improved service for raising recommendation scores was necessary. This survey focused on recommendations for companies with fewer than 100 employees; future studies should incorporate larger companies and more variables.

Development and Evaluation of Children's Smart Photonic Safety Clothing ( 어린이의 스마트 포토닉 안전의복의 개발 및 평가)

  • Soon-Ja Park;Dae-jin, Ko;Sung-eun, Jang
    • Science of Emotion and Sensibility
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    • v.26 no.2
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    • pp.129-140
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    • 2023
  • Following ISO 20471, in this study, first, two sets of safety clothes and safety vests were made by designing and attaching animal and bird patterns preferred by children to retroreflective films and black fabrics on those fluorescent fabrics and retroreflective materials prescribed by international standards. Second, by mounting a smart photonic device on the safety clothing so that the body can be recognized from a distance even without an ambient light source at night, children can emit three types of light depending on the situation with just one-touch of the button. From a result of comparison with visibility a day and night by dressing a mannequin in the made smart safety clothing, the difference in visibility was evident at night, it was confirmed that we can see the figure of a person even at a distance of approximately 70 m. Therefore, it is expected to contribute to the prevention of traffic and other accidents on the road, as the drivers driving at night or in bad weather can recognize a person from a distance. Third, in case of the energy is exhausted and cannot maintain the stability of the light-emitting function of the optical faber, we can use energy harvesting device, and the light-emitting time will be extended. As a result it comes up to emit light stably for a long time. And this prove that smart photonic safety clothing can also be used for night workers. Therefore, optical fiber safety clothing is expected to be highly wearable not only in real life but also in dark industrial sites due to stable charging by applying the energy harvesting provided by solar cells.

A Servicism Model on the New Human and Education System (서비스주의 인간 및 교육 연구)

  • Hyunsoo Kim
    • Journal of Service Research and Studies
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    • v.12 no.3
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    • pp.115-133
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    • 2022
  • This study was conducted to design a new human model and education system for the sustainable life of mankind. Human society is facing a crisis. This study presents a comprehensive plan as the final version of the servicism study. Since the problems of human society are all human problems, research was conducted focusing on the new human and education system. Modern society is markedly different from the existing society in terms of time, space, and humanity, and the leading role of individuals is increased due to the increase in literacy, which can lead to breakdown and ground breaking in an instant. As the value of growth and freedom is increasing, technological innovation is accelerating, and industries and enterprises are growing significantly, so new technologies and industries may put human society at great risk. This study comprehensively diagnosed these problems in the current human society. The problems related to human and education were presented in depth while analyzing and synthesizing the problems presented in the existing servicism studies. The necessary and sufficient conditions for a new system to solve the problems raised were derived. And a system that satisfies these conditions was derived and presented. The new system was named servicism human and education system as a system based on the service philosophy. The structure, operation model, and implementation plan of the new system were presented. The basic structure is a human view that recognizes both reason and irrationality, an education system in which intelligence education and virtue education are balanced, and an education system in which human effort and the values of unwieldy nature are respected. A new education system needs to be put into operation along with the improvement of modern ideology and the compensation system for efforts. Since this study presented a macroscopic direction, further studies are needed to further refine this study.

A Content Analysis of B-Class Emotional Advertising Trend: Focused on TV commercials from 2015 to 2020 (B급 감성 광고 경향에 관한 내용분석: 2015년부터 2020년까지 공중파 TV광고를 중심으로)

  • Baik, Juyoun;Youm, Dongsup
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.179-188
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    • 2022
  • This study discovers the general characteristics of B-class Emotional Advertisements and analyses their trend. A content analysis was conducted on 498 advertisements on-aired between 2015 and 2020, which were sampled from the advertisements registered in the TVCF(www.tvcf.co.kr), the largest advertisement web portal in the Republic of Korea. The analysis concludes that the B-class Emotional Advertisements, employed in a wide range of genre, is most incorporated in comedy/exaggeration genres and is on a rising trend due to 2020 COVID-19 Pandemic. Furthermore, it is confirmed that the utilization of B-class emotional advertisement has also increased in domain of non-commercial advertisements, such as Public Service Advertisements, Governmental/Organizational Advertisements, and Corporate Public Relations (PR) Advertisements. The study validates the transformation of the B-class emotional advertisements from a demonstration of an eccentric minority subculture to an epitome of a new and adventurous mainstream culture, successfully serving a central role in both the commercial and non-commercial sectors. Depicting the caricatures of the social, cultural and economic phenomenon and the recent surge of individual's depression, fatigue and pessimism, B-class emotional advertisements provide sympathetic and emotional alleviating ground for people that contributed to its rise.

Convergence Analysis on Policy Decision Making Factor of Local Construction Planning Phase by Using Unstructured Data in point of the Technology and Culture (비정형 데이터 분석을 통한 기술과 문화의 융합적 관점의 지역 건설기획단계 정책의사결정 영향요인 분석)

  • Park, Eun Soo;Kim, Ji Eun
    • Korea Science and Art Forum
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    • v.23
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    • pp.149-162
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    • 2016
  • Here are background, method, scope, main contents of this research. As the interests increased in recent about the construction in complex and diverse areas, construction is locally connected to human life like to coexistence of the technology and culture. The local development should not be fragmentary construction to improve local recycling ability. Local society should be inherited by modern cultural perspective through a variety of local culture and coexistence. Effective decision making analysis is necessary to build a livable area with a combination of high-tech industry. For this reason, this paper will study the political analysis for decision making at the planning stage of construction in point of fusion of technology and culture by using unstructured data analysis. Conclusion is as in the following. Local planning stage of construction describes diverse meanings of intangible and intangible factors as political factor. Technology factors have various qualitative and quantitative factors in construction field. Understanding decision making at the planning stage of construction means not only visible 'technology factor' such as structure, method, shape, and so on, but also invisible 'culture factor' such as spirit of age, religion, learning, and life-style reflected in formation process of space, and insight of brain power about art.

A Study on the Fabrication of Heater based on Silicone Rubber (실리콘러버 기반의 히터제작에 관한 연구)

  • Jeong-Oh Hong;Jae Tack Hong;Shin-Hyeong Choi
    • Advanced Industrial SCIence
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    • v.2 no.2
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    • pp.9-15
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    • 2023
  • Since silicone rubber heaters are flexible, they can be directly attached or installed in objects to be heated even in flat, curved or three-dimensional shapes. Since the current heating method heats the entire object to be heated and raises it to a required temperature, ignoring areas or positions where heat is not required, partial intensive heating cannot be performed. When using multi-heating zones, rather than heating the entire object to be heated, only the parts that need heat are intensively heated according to the process, so it is possible to heat quickly by local location by applying different amounts of heat with a small amount of electric capacity to each place that needs heat, and heat energy can reduce. In this study, the temperature and heating time of the partially concentrated region in the multi-heating region structure are measured so that a uniform temperature or temperature difference occurs in the region requiring thermal fusion. In order to determine the optimal power density range and reduce capacitance, the safety of a silicon rubber heater manufactured with a multi-heating zone structure is investigated. If the silicon rubber heater is manufactured in a multi-heating method, the multi-intensive heating technology can be ideally applied to all heating processes.

Research on Training and Implementation of Deep Learning Models for Web Page Analysis (웹페이지 분석을 위한 딥러닝 모델 학습과 구현에 관한 연구)

  • Jung Hwan Kim;Jae Won Cho;Jin San Kim;Han Jin Lee
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.2
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    • pp.517-524
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    • 2024
  • This study aims to train and implement a deep learning model for the fusion of website creation and artificial intelligence, in the era known as the AI revolution following the launch of the ChatGPT service. The deep learning model was trained using 3,000 collected web page images, processed based on a system of component and layout classification. This process was divided into three stages. First, prior research on AI models was reviewed to select the most appropriate algorithm for the model we intended to implement. Second, suitable web page and paragraph images were collected, categorized, and processed. Third, the deep learning model was trained, and a serving interface was integrated to verify the actual outcomes of the model. This implemented model will be used to detect multiple paragraphs on a web page, analyzing the number of lines, elements, and features in each paragraph, and deriving meaningful data based on the classification system. This process is expected to evolve, enabling more precise analysis of web pages. Furthermore, it is anticipated that the development of precise analysis techniques will lay the groundwork for research into AI's capability to automatically generate perfect web pages.

Numerical Modeling of Hydrogen Embrittlement-induced Ductile Fracture Using a Gurson-Cohesive Model (GCM) and Hydrogen Diffusion (Gurson-Cohesive Model(GCM)과 수소 확산 모델을 결합한 수소 취화 파괴 해석 기법)

  • Jihyuk Park;Nam-Su Huh;Kyoungsoo Park
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.37 no.4
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    • pp.267-274
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    • 2024
  • Hydrogen embrittlement fracture poses a challenge in ensuring the structural integrity of materials exposed to hydrogen-rich environments. This study advances our comprehension of hydrogen-induced fracture through an integrated numerical modeling approach. In addition, it employs a ductile fracture model named the Gurson-cohesive model (GCM) and hydrogen diffusion analysis. GCM is employed as a fracture model that combines the Gurson model to illustrate the continuum damage evolution and the cohesive zone model to describe crack surface discontinuity and softening behavior. Moreover, porosity and stress triaxiality are considered as crack initiation criteria . A hydrogen diffusion analysis is also integrated with the GCM to account for hydrogen enhanced decohesion (HEDE) mechanisms and their subsequent impacts on crack initiation and propagation. This framework considers the influence of hydrogen on the softening behavior of the traction-separation relationship on the discontinuous crack surface. Parametric studies explore the sensitivity to diffusion properties and hydrogen-induced fracture properties. By combining numerical models of hydrogen diffusion and the ductile fracture model, this study provides an understanding of hydrogen-induced fracture and thereby contributes significantly to the ongoing efforts to design materials that are resilient to hydrogen embrittlement in practical engineering applications.

Study on the Impact of XAI Explanation Levels on Cognitive Load and User Satisfaction : Focusing on Risk Levels in Financial AI Systems

  • No-Ah Han;Yoo-Jin Hwang;Zoon-Ky Lee
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.9
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    • pp.49-59
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    • 2024
  • In this paper, we examine the impact of XAI explanations on user satisfaction and cognitive load according to the risk levels defined in the EU AI Act. XAI aims to make the internal processes of complex AI models understandable to humans and is widely used in both academia and industry. The importance and value of XAI are continuously rising; however, there has been little research determining the necessary level of explanation according to AI system risk levels. To address this gap, we designed an experiment with 120 participants, divided into 8 groups, each exposed to one of four levels of explainability(XAI) within low-risk and high-risk financial AI systems. A quantitative approach was used to measure cognitive load, user satisfaction, mental effort, and the clarity of the material design across the different AI system interfaces. The results indicate that the amount of information in explanations significantly affects cognitive load and user satisfaction, depending on the risk level. However, the impact of the level of explanation on user satisfaction was mediated by the material design, which determined how easily the information was understood. This research provides practical, regulatory, and academic contributions by offering guidelines for determining the necessary level of explanation based on AI system risk levels.