• The Research Journal of the Costume Culture
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• v.31 no.5
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• pp.651-668
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• 2023

This study aims to help companies with efficient investment and marketing strategies by empirically verifying the impact on satisfaction and purchase intention for artificial intelligence-based digital technology supported shopping assistants introduced in e-commerce. Frequency, factor, SEM, and multiple group analysises were conducted using SPSS 26.0 and Amos 26.0. As a result, first, motivated consumer innovativeness elements of AI shopping assistant were derived into a total of four categories: functional, hedonic, rational, and reliable. Second, in the order of hedonic and rational, satisfaction with the AI shopping assistant was significantly affected, and in the order of rational and functional, purchase intention was significantly affected. The satisfaction with the AI shopping assistant did not affect the purchase intention. Third, in the case of hedonic, the AI-preferred group had a more significant effect on satisfaction than the human-preferred group, and in the case of rational, there was no difference by group in purchase intention. Thus, it was found that consumers prefer AI shopping helpers for e-commerce because they can shop reasonably and are functionally convenient. Therefore, when introducing AI shopping assistants, it is essential to include content that can compare and analyze fundamental information, such as product prices, as well as search functions and payment system compatibility that facilitate shopping.

• The Mathematical Education
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• v.62 no.4
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• pp.457-471
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• 2023

Measurement is an imperative content area of early elementary mathematics, but it is reported that students' understanding of units in measurement situations is insufficient despite its importance. Therefore, this study examined lower-grade elementary students' quantitative reasoning of units in length measurement by identifying the levels of reasoning of units. For this purpose, we collected and analyzed the responses of second-grade elementary school students who engaged in a set of length measurement tasks using an open number line in terms of unitizing, iterating, and partitioning. As a result of the study, we categorized students' quantitative reasoning of unit levels into four levels: Iterating unit one, Iterating a given unit, Relating units, and Transforming units. The most prevalent level was Relating units, which is the level of recognizing relationships between units to measure length. Each level was illustrated with distinct features and examples of unit reasoning. Based on the results of this study, a personalized plan to the level of unit reasoning of students is required, and the need for additional guidance or the use of customized interventions for students with incomplete unit reasoning skills is necessary.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.89-96
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• 2024

This study confirmed the effect of the employment support program on college students' grit and employment preparation behavior, and confirmed the post-program experience, change, and need for employment support. Data from a total of 39 people who participated in the employment support program were analyzed. The employment support program was conducted for 8 weeks starting August 29, 2022. A survey were conducted before and after the program, and interviews were conducted with 8 people afterwards. Descriptive statistics and t-test were used for data analysis, and interview content was analyzed. As a result of the study, the participants' employment preparation behavior significantly increased after the employment support program was implemented. Also, the employment support program helped prepare for realistic employment and set a direction, and improved confidence in employment. Therefore, expansion of employment support programs and customized employment support to improve college students' employment capabilities are necessary.

• Journal of the Korea Fashion and Costume Design Association
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• v.26 no.2
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• pp.1-14
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• 2024

Digital transformation has been actively evolving through the use of digital platforms. The fashion industry also utilizes digital platforms and significant changes have become particularly evident in fashion shows. Therefore it is essential to research digital fashion shows. The purpose of this study is to analyze the evolution of digital fashion shows in terms of their form and characteristics in response to changes in digital platforms. The research method consisted of literature research and case analysis. In this study, the development stages of digital platforms were divided into four stages: Internet platforms, SNS platforms, Metaverse platforms, and Artificial Intelligence platforms. Results were derived by analyzing digital fashion shows published on digital platforms at each stage. Internet digital fashion shows were used as an ancillary implement for fashion shows. SNS digital fashion shows expanded the fashion presentation method by experimenting with various fashion show formats. The Metaverse Digital Fashion Show offers a unique experience by integrating Virtual Reality and digital technology to create visual effects customized for the virtual environment. The Artificial Intelligence digital fashion show used virtual graphics created using Artificial Intelligence. Digital fashion shows will continue to evolve and become a significant digital strategy for fashion content and brands. The change in the format of digital fashion shows clearly showcases the characteristics of each stage, but the formats appear to merge during the development process.

• Journal of Nutrition and Health
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• v.54 no.4
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• pp.398-411
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• 2021

Purpose: The objective of this study was to investigate food and nutrition information utilization practices of adults aged between 20 and 30 years to provide the basic data for developing customized content. Methods: Statistical analyses were performed using the SPSS program (ver. 24.0) for the 𝛘²-test, t-test, one-way analysis of variance, and Duncan's multiple range test. Results: Of the 570 subjects surveyed, 45.4% were men, 54.6% were women, 66.3% were in their 20s, 33.7% were in their 30s, 41.4% were single-person households, and 58.6% lived with their families. On average, 14.2% of televisions (TVs), 26.0% of personal computers (PCs), and 63.7% of smartphones were used for more than three hours per day. 30.9% of respondents searched for food and nutrition information more than once a week. 70.0% of the respondents had then applied the information in real life and 54.7% of the respondents said they would share information with others. Information retrieval rate was in the order of 'restaurant (64.8%)', 'diet (57.5%)', and 'food recipes (55.7%)'. Overall satisfaction with food and nutrition information averaged 3.33 on a five-point scale. Satisfaction score was in the order of 'enough description and easy to understand (3.43)', 'matching title and content (3.35)', and 'providing new and novel information (3.22)'. Satisfaction scores were significantly higher in the group that searched for information (p < 0.001), the group that used the retrieved information in real life (p < 0.001), and the group that conveyed this information to others (p < 0.001). Conclusion: To improve information user satisfaction, it is necessary to provide customized information that fits the characteristics of information users. For this purpose, it is necessary to continuously conduct surveys and satisfaction evaluations for each target group.

• Journal of the Korea Computer Graphics Society
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• v.26 no.3
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• pp.143-153
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• 2020

This study embodies and proposes VR color therapy healing contents 'Nornir' that can manage stress in daily life. "Nornir" applies the CRR analysis method to provide a customized VR color therapy experience according to the three colors selected by the user. It is designed to enable users to understand themselves through their color journey, to rec eive various color interactions and stimuli to implement in the future, and to provide healing that lowers stress levels. Based on the results implemented, the Korean version of the mood condition test 'K-POMS' was conducted before an d after the demonstration to check the user's stress changes after the content demonstration. Experiments have shown that users clearly see a decrease in negative emotions and an increase in positive emotions. By using VR technology, color psychotherapy rules are combined to provide the possibility of relieving stress for users who are exposed to fre quent stress in daily life.

• Journal of Korea Entertainment Industry Association
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• v.15 no.2
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• pp.99-109
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• 2021

The purpose of this paper is to look at web entertainment in terms of marketing and analyze how consumers in Korea and abroad feel about it. To this end, methods such as literature research, case studies, and consumer interviews were used. The main conclusions of this paper are as follows. First of all, through the case of "Run BTS," the web entertainment program actively reflects the needs of viewers on entertainment content by utilizing the unique interactions of web entertainment in terms of products. In terms of price, web entertainment operated a paid service that contained more diverse contents. However, the degree of satisfaction with paid services was different for each age group or income of viewers. In terms of distribution, web entertainment can position viewers much more clearly than conventional TV entertainment, has strong communication with viewers, and is relatively free from political conflict or censorship in overseas exports. Finally, in terms of public relations, web entertainment is promoted in various ways to fans who are the mainstay of existing viewers, but public relations for various viewers other than fans are relatively weak. Based on the above analysis, this paper proposed ways to improve consumers of web entertainment by region, customized marketing by age, professional window for consumers to directly express their opinions on content, and wide promotion through various media.

• Journal of the International Relations & Interdisciplinary Education
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• v.2 no.2
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• pp.81-95
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• 2022

The core of this study is to develop an edutech utilization program to be applied to 5th grade students by utilizing school curriculum time, and the conclusions based on the results of the study are as follows. First, for the development of future educational programs using edutech, a content preference survey was conducted and significant responses were confirmed from 27 teachers and 216 students, excluding missing values. In the future education implementation, UCC (video shooting, editing, etc.) and work activities (3D pen, 3D printer, etc.) were selected based on the need for separate edtech devices. Second, in order to develop a future education program using edutech, the future education class module was set in 4 stages based on previous research. First of all, in Make a foundation, theories by subject are developed, and in Open an activity, future education experience activities using key edutech are developed. In Organize evaluation, individual self-evaluation was conducted, and based on this, customized in-depth supplementary activities were conducted in Act individually. Third, in order for future education programs using edutech to be organized in the regular curriculum, sufficient connectivity with the curriculum must be secured. The basis for systematic and stable research was prepared by analyzing the curriculum of the 5th grade subject of the study and securing hours in connection with creative experiential activities. The data developed through this process were modified and supplemented based on the content validity test. The fact that the program application and verification steps were not performed is a limitation of this study, but it is expected that this program will expand the possibility of future education practice in the school field.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.1
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• pp.42-50
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• 2023

The development of technology has achieved digital innovation throughout the media industry, including production techniques and editing technologies, and has brought diversity in the form of consumer viewing through the OTT service and streaming era. The convergence of big data and deep learning networks automatically generated text in format such as news articles, novels, and scripts, but there were insufficient studies that reflected the author's intention and generated story with contextually smooth. In this paper, we describe the flow of pictures in the storyboard with image caption generation techniques, and the automatic generation of story-tailored scenarios through language models. Image caption using CNN and Attention Mechanism, we generate sentences describing pictures on the storyboard, and input the generated sentences into the artificial intelligence natural language processing model KoGPT-2 in order to automatically generate scenarios that meet the planning intention. Through this paper, the author's intention and story customized scenarios are created in large quantities to alleviate the pain of content creation, and artificial intelligence participates in the overall process of digital content production to activate media intelligence.

• Journal of the Korean Institute of Landscape Architecture
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• v.46 no.3
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• pp.1-13
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• 2018

Landscape Architecture is a minority manpower field that requires wide knowledge and experience. Therefore, the service market is narrower than other fields, and education service for practitioners is lacking. The purpose of this study is to propose e-learning content development methodology that can provide customized landscaping practical education according to the level of education and increase the economic efficiency of the development process. First, in theoretical review, the ADDIE model was modified to select the curriculum development model that pursues efficiency and introduced the concept of reusing learning objects in the SCORM-based model. In particular, to overcome the problems presented in the precious studies, the analysis and design stages have been strengthened and faculty designers with integrated knowledge of Landscape Architecture and ICT have led the overall phase. The actual development process is based on a step by step procedure--analysis of landscaping practitioners needs and environments, etc., teaching and learning procedures and the design of activities considering contents reuse, the first development such as actual shooting and editing, and the second development reusing the first development content--and was done in the order of evaluation and revision of professionalism and satisfaction. As a result of the study, the space-based courses composed of modular learning objects were first developed as 216 courses in 8 subjects, as 208 courses in 3 subjects in total, in which the modularized learning object are crossed and combined in units and difficulty-based courses were second developed in 216 courses with 3 subjects in total. As a result of the evaluation the satisfaction assessment of the overall satisfaction was 4.20 and the average value of the eight measures was 3.97, both being close to 4.0. For the professional assessment, the scores of 8 subjects were very high at 84.8 to 96.4 points. in context, the scores of 5 subjects were equal to from 89.9 to 96.4 points. In conclusion, as the study was conducted based on a clear understanding of the digital characteristics of e-learning contents and general characteristic of the landscaping industry, it was possible to develop a curriculum by developing a course composed of modular learning objects and reusing learning objects by unit. In particular, it has been proven to be effective in conveying professional knowledge and experiences via general procedures and provided an opportunity to overcome some analog problems that may occur in offline education. In the future, further studies need to be done by expanding the content and by focusing on segmented subjects.