• Title/Summary/Keyword: 감성 요소

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Horticultural Activities Using Colorful Food for the Improvement of Emotional Intelligence and the Reduction of Unbalanced Vegetable Diet of Young Children (유아의 채소편식 감소와 정서지능 향상을 위한 컬러푸드 원예활동)

  • Son, Hyo-Jung;Song, Jong-Eun;Son, Ki-Cheol
    • Horticultural Science & Technology
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    • v.33 no.5
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    • pp.772-783
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    • 2015
  • This study focuses on horticultural activities using colorful food to reduce diets unbalanced in vegetables and to increase emotional intelligence. Horticultural activities using colorful food vegetables were based on 'Health in Daily Life' in the '7th Kindergarten Curriculum'; to improve the dietary habits of the young children, the program was also linked with a parents' education program. The research was conducted with a total of 70 children from classes for four-year-olds in three child-care centers located in Seoul. The horticultural activities based upon nutrition education included activities using colorful food vegetables and nutrition education. For the nutrition education group, only nutrition education was provided, while neither horticultural activities nor nutrition education were provided to the control group. The study was conducted from September to December 2011. A total of twelve sessions were conducted once a week for 60 minutes each. According to the result, after the horticultural activities with colorful food vegetable were conducted, both the nutrition education group and horticultural activity & nutrition education group showed improvements in 'Nutrition Knowledge' compared to the control group. Regarding 'Unbalanced Diet Behaviors', the horticultural activities & nutrition education group showed meaningful decreases compared to the control group. Moreover for preference of fruits and vegetables, the horticultural activities & nutrition education group revealed meaningful improvements. In conclusion, colorful food vegetable horticultural activity could be an effective approach to resolve the imbalance of health caused by unbalanced diets as children who participated in the colorful food vegetable horticultural activities continued to respond spontaneously to the colors of vegetables and fruits and showed joy and kept voluntarily eating them.

A Study on the Aesthetic Art Marketing Communication of Luxury Brand Using Storytelling (스토리텔링을 이용한 명품 브랜드의 미학적 아트마케팅 커뮤니케이션에 관한 연구)

  • Cho, Hye-Duk;Hwang, Jae-Kwang;Lee, Sang-Youn
    • Journal of Distribution Science
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    • v.9 no.3
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    • pp.73-82
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    • 2011
  • This study presents an effective and distinctive marketing strategy through the implementation of the aesthetic art marketing communication technique of storytelling. The reason applying art to marketing is effective is that it gives "class" and aesthetic beauty to the brand's image, which will lead to an increase in revenue and loyalty of consumers. The story stands in for the brand's subject of "desire." Luxury brand customers not only consume high-quality products, require the utmost in service, and value of the brand, they also appreciate the story the brand is telling. The story, combined with art, is called art marketing communication; it makes the brand more unique through its enhanced visual elements. The study discusses art collaboration, art exhibition, a transforming architecture project, art advertisement, a flagship store, and a human resource training center. Based on the "desire," I adopted the element and principle of storytelling. By visualizing the brand with a symbol, the company is able to relate to consumers' sentimentality. Through storytelling art marketing communication, and the strategy using relevance of brand and artist's popularity, the research shows efficient art marketing influences to the brand's image. The results of the research indicate that by using adequate art marketing communication that best reflects the identity and story of the luxury brand, it produces great results; the research also demonstrated, in various ways, that art marketing will succeed. The case showed the following outcomes. First, consumers have a tendency to choose a brand that is associated with an empathizing story. World renowned brands see through the market's "desires" for unique stories, and they also provide the ability to amuse consumers. The story in a product will become an important competitive element in future markets. Second, the art marketing communication applying a story rendered a brand with distinction. The most effective art marketing communications are art collaboration, art exhibition, locomotive architecture project, and others that are adopted as various means. Third, the brand's products were considered as an art piece, which led to not only strengthening the loyalty of consumers but also an increase in sales. In addition, the company could sustain a premium price for the goods sold. By adapting art to a brand's tradition, an innovative and creative new product provides consumer satisfaction, and producing goods in limited editions creates enthusiastic collectors. Fourth, this study suggests an abridged report, implication, limitation of the study, and directions for further research. Referring to the case for the adaptation of luxury brands, efficient art marketing strategies considering Korean company brand and efficiently study preceding Korean company brand art marketing strategy could be proposed.

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Analysis of the Landscape Characteristics of Island Tourist Site Using Big Data - Based on Bakji and Banwol-do, Shinan-gun - (빅데이터를 활용한 섬 관광지의 경관 특성 분석 - 신안군 박지·반월도를 대상으로 -)

  • Do, Jee-Yoon;Suh, Joo-Hwan
    • Journal of the Korean Institute of Landscape Architecture
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    • v.49 no.2
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    • pp.61-73
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    • 2021
  • This study aimed to identify the landscape perception and landscape characteristics of users by utilizing SNS data generated by their experiences. Therefore, how to recognize the main places and scenery appearing on the island, and what are the characteristics of the main scenery were analyzed using online text data and photo data. Text data are text mining and network structural analysis, while photographic data are landscape identification models and color analysis. As a result of the study, First, as a result of frequency analysis of Bakji·Banwol-do topics, we were able to derive keywords for local landscapes such as 'Purple Bridge', 'Doori Village', and location, behavior, and landscape images by analyzing them simultaneously. Second, the network structure analysis showed that the connection between key and undrawn keywords could be more specifically analyzed, indicating that creating landscapes using colors is affecting regional activation. Third, after analyzing the landscape identification model, it was found that artificial elements would be excluded to create preferred landscapes using the main targets of "Purple Bridge" and "Doori Village", and that it would be effective to set a view point of the sea and sky. Fourth, Bakji·Banwol-do were the first islands to be created under the theme of color, and the colors used in artificial facilities were similar to the surrounding environment, and were harmonized with contrasting lighting and saturation values. This study used online data uploaded directly by visitors in the landscape field to identify users' perceptions and objects of the landscape. Furthermore, the use of both text and photographic data to identify landscape recognition and characteristics is significant in that they can specifically identify which landscape and resources they prefer and perceive. In addition, the use of quantitative big data analysis and qualitative landscape identification models in identifying visitors' perceptions of local landscapes will help them understand the landscape more specifically through discussions based on results.

KB-BERT: Training and Application of Korean Pre-trained Language Model in Financial Domain (KB-BERT: 금융 특화 한국어 사전학습 언어모델과 그 응용)

  • Kim, Donggyu;Lee, Dongwook;Park, Jangwon;Oh, Sungwoo;Kwon, Sungjun;Lee, Inyong;Choi, Dongwon
    • Journal of Intelligence and Information Systems
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    • v.28 no.2
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    • pp.191-206
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    • 2022
  • Recently, it is a de-facto approach to utilize a pre-trained language model(PLM) to achieve the state-of-the-art performance for various natural language tasks(called downstream tasks) such as sentiment analysis and question answering. However, similar to any other machine learning method, PLM tends to depend on the data distribution seen during the training phase and shows worse performance on the unseen (Out-of-Distribution) domain. Due to the aforementioned reason, there have been many efforts to develop domain-specified PLM for various fields such as medical and legal industries. In this paper, we discuss the training of a finance domain-specified PLM for the Korean language and its applications. Our finance domain-specified PLM, KB-BERT, is trained on a carefully curated financial corpus that includes domain-specific documents such as financial reports. We provide extensive performance evaluation results on three natural language tasks, topic classification, sentiment analysis, and question answering. Compared to the state-of-the-art Korean PLM models such as KoELECTRA and KLUE-RoBERTa, KB-BERT shows comparable performance on general datasets based on common corpora like Wikipedia and news articles. Moreover, KB-BERT outperforms compared models on finance domain datasets that require finance-specific knowledge to solve given problems.