• Educational Technology International
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• v.25 no.2
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• pp.231-260
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• 2024

This study suggests that educational recommender systems should be explainable and extend beyond the commercially driven algorithms that primarily rely on user preferences and purchase behaviors. Instead, we propose a recommendation method that considers how and why people learn by employing the relative importance of various learner variables. To develop a recommendation algorithm, 100 adult participants used 4 to 6 foreign language learning mobile applications(apps), generating a dataset of 557 user perception reports. Using this data, we designed and developed a recommender system based on the importance weights of 14 learner variables, categorized into four groups: (a) demographic information, (b) motivational orientation for language learning (instrumental vs. integrative), (c) learning styles, and (d) learning experience. The results based on RandomForestRegressor model revealed that language learning motivation, learning styles (specifically information processing), and usage frequency were significantly more influential than general demographic factors in predicting learners' evaluation of the apps. Furthermore, learners' perception of the recommender system revealed that the recommender system was relevant and engaging, effectively meeting their needs and assisting them in selecting appropriate language learning apps. Overall, this study demonstrates the potential of educational recommender systems that consider learners' motivation, experience, and learning styles.

• Journal of the Ergonomics Society of Korea
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• v.36 no.2
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• pp.87-108
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• 2017

Objective: The purpose of this study was to precede the acceptance study based on automation steps and user experience that was lacked in the past study on the core technology of autonomous vehicle, ADAS. The first objective was to construct the acceptance model of ADAS technology that is the core technology, and draw factors that affect behavioral intention through user experience-based evaluation by applying driving simulator. The second one was to see the change of factors on automation step of autonomous vehicle through the UX/UA score. Background: The number of vehicles with the introduction of ADAS is increasing, and it caused change of interaction between vehicle and driver as automation is being developed on the particular drive factor. For this reason, it is becoming important to study the technology acceptance on how driver can actively accept giving up some parts of automated drive operation and handing over the authority to vehicle. Method: We organized the study model and items through literature investigation and the scenario according to the 4 stages of automation of autonomous vehicle, and preceded acceptance assessment using driving simulator. Total 68 men and woman were participated in this experiment. Results: We drew results of Performance Expectancy (PE), Social Influence (SI), Perceived Safety (PS), Anxiety (AX), Trust (T) and Affective Satisfaction (AS) as the factors that affect Behavioral Intention (BI). Also the drawn factors shows that UX/UA score has a significant difference statistically according to the automation steps of autonomous vehicle, and UX/UA tends to move up until the stage 2 of automation, and at stage 3 it goes down to the lowest level, and it increases a little or stays steady at stage 4. Conclusion and Application: First, we presented the acceptance model of ADAS that is the core technology of autonomous vehicle, and it could be the basis of the future acceptance study of the ADAS technology as it verifies through user experience-based assessment using driving simulator. Second, it could be helpful to the appropriate ADAS development in the future as drawing the change of factors and predicting the acceptance level according to the automation stages of autonomous vehicle through UX/UA score, and it could also grasp and avoid the problem that affect the acceptance level. It is possible to use these study results as tools to test validity of function before ADAS offering company launches the products. Also it will help to prevent the problems that could be caused when applying the autonomous vehicle technology, and to establish technology that is easily acceptable for drivers, so it will improve safety and convenience of drivers.

• Design Convergence Study
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• v.15 no.1
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• pp.135-150
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• 2016

Due to the development of communication technology and expansion of Intelligent Transport System (ITS), the car is changing from a simple mechanical device to second living space which has comprehensive convenience function and is evolved into the platform which is playing as an interface for this role. As the interface area to provide various information to the passenger is being expanded, the research importance about smart car based user experience is rising. This study has a research objective to propose the guidelines regarding the smart car user experience elements. In order to conduct this study, smart car user experience elements were defined as function, interaction, and surface and through the discussions of UX/UI experts, 8 representative techniques, 14 representative techniques, and 8 locations of the glass windows were specified for each element. Following, the smart car users' priorities of the experience elements, which were defined through targeting 100 drivers, were analyzed in the form of questionnaire survey. The analysis showed that the users' priorities in applying the main techniques were in the order of safety, distance, and sensibility. The priorities of the production method were in the order of voice recognition, touch, gesture, physical button, and eye tracking. Furthermore, regarding the glass window locations, users prioritized the front of the driver's seat to the back. According to the demographic analysis on gender, there were no significant differences except for two functions. Therefore this showed that the guidelines of male and female can be commonly applied. Through user requirement analysis about individual elements, this study provides the guides about the requirement in each element to be applied to commercialized product with priority.

• Global Cultural Contents
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• no.40
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• pp.1-15
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• 2019

The World Heritage-listed Baekje Historic Area has a gradual ripple effect on the community. The field of experience contents, which has a positive influence on the influx of tourists, serves as a complex medium that conveys the technical aspects and the uniqueness of historical culture in the era of the Fourth Industrial Revolution. The purpose of this study is to examine the current contents of clothing experiences and to suggest ways to develop them, as a starting point for the development of contents that can satisfy the needs of tourists and contribute to the revitalization of the local economy. This study conducted user research by applying the in-depth interview method to carry out basic study on values and necessity of costume culture contents, understand costume experience and find the appropriate direction of its development. This study analyzed complex opinions of experience participants by applying KJ Method. Based on the needs of users of experience contents, we made classification of patterns of three areas of functionality, aesthetic values and particularity, and reached drawbacks and improvement plans. This study is expected to serve as a basic material to develop costume experience contents with satisfying needs of tourists on Baekje Historic Areas.

• Journal of the Ergonomics Society of Korea
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• v.31 no.1
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• pp.23-32
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• 2012

Objective: This research proposes a methodology, which validates a grasp of the customers' emotions in the service design area. Background: As the era of service design has taken its approach, the need for a deliberate design that would reflect the customer's experience had emerged in the area of service. Therefore, a variety of methodologies has been adopted in the field of service design with the purpose of discovery of the customers' needs. Even though the importance of an emotion-sentient research of a service experience increases, its research progress remains to be inadequate in comparison to all the other areas. Method: Having had taken some resources from the emotional studies under other areas of expertise as a base, the concept of volatility of emotions has been introduced as the core element of this research, further followed by an elaboration of its special characteristics. The observation technique under Stakeholder's system: SOMC(Simultaneous Observation Method based on Cooperation) has been proposed in this study as it presents an effective way to grasp the concept of volatile emotions in contrast to the previously existent types of methodologies. Results: The SOMC rather supplements the existing research methods than substitutes the previous ones. In other words, although the existing research system allowed emotion detection, it was difficult to capture the change of momentary and fickle emotions. On the opposite, the SOMC provides a condition allowing a sufficient grasp of the customer's emotions and facilitates emotional capture. Conclusion: For that reason, it is hoped that this piece of research represents a valuable and effective approach in terms of grasping the true needs of the customers on the emotional level, which will in its turn contribute to the improvement of the service quality in the midst of a complicated service condition. Application: Moreover, the purpose of this research is that in its outcome it may serve as a sufficient contribution to the area of emotional studies within the field of service design.

• Journal of the Korea Convergence Society
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• v.11 no.2
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• pp.117-126
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• 2020

Objective evaluation of the resources of industrial heritage regeneration area is an important prerequisite for design and improvement. The purpose of the study is to comprehensively evaluate the value of the industrial heritage regeneration area. This study identifies the method (model), combining the qualitative factor and quantitative factor. (1) Establish an evaluation system (AHP Hierarchy) based on the resources of regeneration area; (2) Choose an evaluation way based on the type of resource; (3) Calculate the value and total value of various resources in the area. The research is a case study of Canal 5 resort. It expounds the using process of the method and gets the rank and total value of each type of resource in this area, the factors influencing the value (mainly concerned with income), etc. The conclusion is that the value of the reclaimed land should be composed of both the use value and the non-use value; the same factor has different influence on different resources; different factors influence one resource to different extents.

• Journal of Digital Contents Society
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• v.9 no.2
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• pp.165-175
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• 2008

Currently, software development methods have been advanced to service-oriented from component-oriented, to component-oriented from object-oriented. The component-oriented and service-oriented software development methods are analyzed by object-oriented UML model. So, the efficient analysis method for object-oriented UML model needs. In this paper, we suggest the analysis guideline and process based on event using Input Data-Process-Output Data Table for identifying use cases and classes efficiently. And the suggested method complements the problems depending the developer's perspective and experience.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.359_360
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• 2009

KEPCO signed up with LS CABLE as a contractor for HVDC submarine cable construction in February 2009. The desk research has been completed in may 2009. Also, Cable route and the protection method will be selected by November 2009. The tentative cable route between Jindo and Jeju which is consisted of sea farms and shipping route zone will reach almost 105km. The oceanographic survey for the selection of protection method will be carried out and the survey lists are consisted of MBES, SSS, CPT, ADSP. The protection methods such as burial, Concrete Mattress, UP Pipe, Rock Berm will be selected as per each condition of sea area after the oceanographic survey is completed. Kepco has developed variable methods based on the maintenance experience for HVDC submarine cable between HAENAM and JEJU. Based on the such a accumulated know-how, it can be expected for the confidence and stability of the 2nd HVC project to be improved.

• Journal of the Korea Society of Computer and Information
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• v.21 no.9
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• pp.165-176
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• 2016

This study developed the learning ability-based smart education program. The effectiveness of the developed materials was investigated using the quantitative-qualitative mixed method, and the process and results of the investigation are as follows. The quantitative investigation was conducted using the non-equivalent pretest-posttest design, in which the smart education method was applied to the experimental group, while the conventional education method was applied to the control group to analyze students' creative problem-solving potential, task concentration, and the variables required for the learning activity. The results showed significantly higher performance in the experimental group over the control group. Regarding data collection in the qualitative investigation, an analysis of the class from the instructor and class consultation logs from the class analyst were collected; the comments on the experience of each class period were collected from students. The results of the analysis of the data suggest that the perception of smart education improved for the instructor, class analyst, and learners as the course progressed.

• Journal of Surface Science and Engineering
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• v.54 no.2
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• pp.84-89
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• 2021

The visual inspection method is widely used for corrosion damage analysis of steel plate due to the cost-efficient, fast and reasonably accurate results. However, visual inspection of corrosion deteriorated degree has a problem that the reliability of results differs depending on the inspector's individual knowledge and experience. In this study, we evaluated the degree of corrosion from a given image by using image segmentation method based on the grabcut and HSV(Hue, Saturation, Value) color image processing techniques for the development of an automatic inspection tool. The code written in Python based OpenCV-python libraries was used to categorize the images.