• Science of Emotion and Sensibility
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• v.1 no.1
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• pp.213-221
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• 1998

현대의 시스템들이 가지는 고기능화와 자동화로 인하여 인간의 운용 능력이 점점 더 중요한 능력으로 부각되고 있으며, 이는 사용자가 경험하게 되는 인지넉 복잡도를 제어하는 것을 요구한다. 본 연구에서는 사용자 인터페이스에서 사용자가 경험해야 하는 인지적 복잡도를 스키마 구조를 반영하여 정량화하는 엔트로피 모형(윤완철, 1992)을 적용하여 사용자가 겪게 될 인지적 복잡도를 예측하는 척도가 제안되었으며 실험적으로 검증되었다. 엔트로피와 시스템 크기-조작의 수와 상태의 수-가 각각 다른 세 가지 인터페이스 (엔트로피가 낮고 작은 크기의 인터페이스, 엔트로피가 높고 작은 크기의 인터페이스, 엔트로피가 높고 큰 크기의 인티페이스) 중의 하나를 사용하는 것을 피험자이 학습하고, 이에 대해 검사를 받았다. 제안된 척도인 시스템 엔트로피는 사용자 수행도를 잘 설명하였지만, 시스템의 크기는 그러하지 않았다. 본 연구는 사용자가 겪게 될 인지적 복잡도를 평가자의 주관이 개입하지 않는 방법을 통하여 평가할 수 있음을 보인 것으로 가전제품이나 스프트웨어의 디자인의 평가와 개선 등 인간의 인지적 복잡도가 사용성에 중요한 영향을 미치는 분야에서 유용하리라 여겨진다.

• The Journal of Korean society of community based occupational therapy
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• v.1 no.2
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• pp.71-79
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• 2011

Objective : This study aimed to systematically reviewed to identify, evaluate, synthesize the research literature and suggested to the research direction on the effectiveness of occupational therapy using a sensory integration approach. Methods : We analyzed 10 studies that identified the effectiveness of occupational therapy using a sensory integration approach for children and adolescents offering in MEDLINE/PubMed and http://ajot.aotapress.net between 1993 and 2011. Results : The subjects were the sensory modulation disorder and autism spectrum. The different intervention strategies were similar to a previous studies. Intervention dosage was over 20 sessions, 2~3days per week more than 10weeks. Occupational therapy using a sensory integration approach may result in positive outcome in motor performance, behavioral outcomes, academic and psychoeducational outcomes and tried to currently identify the effect of intervention outcomes in sensory processing and occupational performance using the GAS. Conclusion : Clinicians have a minimal idea planing a research design and a evidence running a study.

• Journal of the HCI Society of Korea
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• v.13 no.4
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• pp.25-34
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• 2018

This study is a literature study that analyzes empirical case study of Flipped learning application which has emerged as a method of future university education in Korea. The purpose of the study is to explore the use of digital media by learners in the Flipped learning applied courses in domestic universities considering current digital-based media environment. For this purpose, we analyzed the measurement variables and statistical significance of the preceding studies and analyzed the media utilization. The most important measurement variables were 'learning achievement' and 'class satisfaction', which were measures of effectiveness on the Flipped learning classes. All studies analyzed used media, but most studies focused on verifying the effectiveness of classroom classes, resulting in separate media utilization measurements in one study and statistically meaningful results for the 'video learning recognition' variable. The qualitative measurement related to the use of media for each study was presented as a separate analysis result. In the future, in order for effective follow-up studies on application of Flipped learning and digital media utilization, there are five main issues that need to be studied, which are securing the necessary treatment period for accurate effect measurement, etc.

• Journal of Industrial Convergence
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• v.20 no.7
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• pp.37-50
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• 2022

This study intends to analyze the learning effect of asynchronous online classes used in education fields around the world after the COVID-19 pandemic. To this end, we compared and analyzed the lecture evaluation and final exam questions of the HTML5 web programming course, which was conducted offline in 2019 and asynchronously online in 2020 due to COVID-19. As a result of the analysis, no significant difference was drawn between the two teaching methods in the lecture evaluation score and final exam score. However, contrary to concerns about the application of online classes to the entire curriculum, the lecture evaluation and final exam scores of the video-based online classes were high, suggesting the possibility that online classes could be more effective than offline classes if well organized and managed in the future.

• Design Convergence Study
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• v.15 no.6
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• pp.195-214
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• 2016

Predictive analysis is based on a probabilistic learning algorithm called pattern recognition or machine learning. Therefore, if users want to extract more information from the data, they are required high statistical knowledge. In addition, it is difficult to find out data pattern and characteristics of the data. This study conducted statistical data analyses and visual data analyses to supplement prediction analysis's weakness. Through this study, we could find some implications that haven't been found in the previous studies. First, we could find data pattern when adjust data selection according as splitting criteria for the decision tree method. Second, we could find what type of data included in the final prediction model. We found some implications that haven't been found in the previous studies from the results of statistical and visual analyses. In statistical analysis we found relation among the multivariable and deducted prediction model to predict high box office performance. In visualization analysis we proposed visual analysis method with various interactive functions. Finally through this study we verified final prediction model and suggested analysis method extract variety of information from the data.

• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.343-352
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• 2021

A convergence study was conducted to develop a smartphone application for self-practice of core nursing skills and evaluate its usefulness for undergraduate nursing students. Mobile Application Rating Scale and seven essay questionnaire were used to for usability evaluation among 22 undergraduate nursing students. The score of the information domain was the highest with 4.19(SD 0.79). The subjective quality domain showed the lowest score of 3.08(SD 0.87). Participants' performance confidence score was 8.23(SD 1.60), and learning satisfaction score was 7.89(SD 0.87). Participants reported that the convenience and repetitive self-learning were the strengths of the app. In addition, design and technical supplementation, and lecturer-feedback would improve effectiveness of the current educational app. Findings of this convergent study would be helpful to promote the application of mobile apps for effective self-learning of core nursing skills in undergraduate nursing education. Future resesarch is needed to examine effectiveness study of mobile app on the performance of core nursing skills.

• Journal of Educational Research in Mathematics
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• v.24 no.2
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• pp.269-283
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• 2014

Recently, 3S Mathematics Education (Storytelling mathematics education, SMART mathematics education, and STEAM mathematics education) is emphasized. Based on recently published report on Storytelling mathematics textbook, we propose executable expression based SMART storytelling mathematics related to the elementary mathematic curriculum on 3D building blocks. We designed letters and expressions to represent three dimensional shape of 3D building blocks, and we compare its characteristics with that of LEGO blocks. We assert that text-based executable expressions not only construct what students want to make but also teachers can read students thinking process and can support educational help based on students needs. We also present linear function, quadratic function, and function variable concepts using executable expressions based on 3D building block as an example of SMART storytelling mathematics. This research was supported by the collaborated creativity mentoring project between Siheung City and college of education at Seoul National University. We hope designed executable expressions can be used for the development of SMART storytelling mathematics education.

• Journal of Broadcast Engineering
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• v.27 no.5
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• pp.794-807
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• 2022

Although registration of dogs is mandatory according to the revision of the Animal Protection Act, the registration rate is low due to the inconvenience of the current registration method. In this paper, a performance improvement study was conducted on the dog face recognition technology, which is being reviewed as a new registration method. Through deep learning learning, an embedding vector for facial recognition of a dog was created and a method for identifying each dog individual was experimented. We built a dog image dataset for deep learning learning and experimented with InceptionNet and ResNet-50 as backbone networks. It was learned by the triplet loss method, and the experiments were divided into face verification and face recognition. In the ResNet-50-based model, it was possible to obtain the best facial verification performance of 93.46%, and in the face recognition test, the highest performance of 91.44% was obtained in rank-5, respectively. The experimental methods and results presented in this paper can be used in various fields, such as checking whether a dog is registered or not, and checking an object at a dog access facility.

• 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.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.217-242
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• 2022

With the launch of Artificial Intelligence(AI)-based intelligent products on the market, innovative changes are taking place not only in business but also in consumers' daily lives. Intelligent products have the potential to realize technology differentiation and increase market competitiveness through advanced functions of artificial intelligence. However, there is no new product development methodology that can sufficiently reflect the characteristics of artificial intelligence for the purpose of developing intelligent products with high market acceptance. This study proposes a KANO-QFD integrated model as a methodology for intelligent product development. As a specific example of the empirical analysis, the types of consumer requirements for hair loss prediction and treatment device were classified, and the relative importance and priority of engineering characteristics were derived to suggest the direction of intelligent medical product development. As a result of a survey of 130 consumers, accurate prediction of future hair loss progress, future hair loss and improved future after treatment realized and viewed on a smartphone, sophisticated design, and treatment using laser and LED combined light energy were realized as attractive quality factors among the KANO categories. As a result of the analysis based on House of Quality of QFD, learning data for hair loss diagnosis and prediction, micro camera resolution for scalp scan, hair loss type classification model, customized personal account management, and hair loss progress diagnosis model were derived. This study is significant in that it presented directions for the development of artificial intelligence-based intelligent medical product that were not previously preceded.