• 한국콘텐츠학회논문지
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• 제17권4호
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• pp.645-654
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• 2017

본 연구의 목적은 차, 커피, 와인, 맥주의 스마트폰 앱들의 종류와 기능을 비교하고 기술수용모델을 적용하여 차연관 앱의 실제 사용도를 높일 수 있는 기능을 제시하고자 하였다. 애플앱스토어에서 검색된 200개의 차, 커피, 와인, 맥주 앱들의 기능을 살펴본 결과 차, 커피, 와인, 맥주 앱들의 기능은 17개 종류로 파악되었다. 차와 커피 앱들의 기능은 유의한 차이가 없는 것으로 나타났는데 차와 와인, 차와 맥주 앱들의 기능은 유의한 차이가 있었다(p<0.01). 차연관 앱들은 오락성 위주의 앱들이 높은 비율을 차지하고 있으며 와인 앱들은 와인에 관한 정보 찾기, 와인의 특성을 기록하는 노트, 주변 상점/카페 찾기 등 유용성 위주의 앱들의 비율이 차, 커피, 맥주에 비하여 더 높은 것으로 나타났다. 차와 연관된 앱들의 실제 사용도를 높이기 위하여 커피, 와인, 맥주 앱들의 기능을 사례로 제시하였다. 국내 차연관 앱의 개발을 위하여 제시된 기능을 차연관 앱의 메뉴로 구성하여 제시하였다.

• 반도체디스플레이기술학회지
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• 제18권3호
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• pp.93-99
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• 2019

It is a wine recommendation application service designed for people who sometimes drink wine but lack information and have no place to recommend. This study is to develop UI display design method of wine recommendation service using chatbot. The research method was a case study on Korean wine market, a case study on artificial intelligence market, SWOT analysis of wine-related chatbots, and a competitor analysis of related industries. In addition, surveys and in-depth interviews examined the level of interest and understanding of chatbots, and what kind of chatbots they had encountered and what requirements and goals they faced. After grasping the needs and requirements of users, we created a service concept sheet according to them and produced an application UI design that users can use most easily. Therefore, this study is meaningful in that it proposes a UI design that can search wine information more sophisticated and convenient than face-to-face communication through artificial intelligence service called chatbot and recommend wines that match the taste.

• International Journal of Internet, Broadcasting and Communication
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• 제13권3호
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• pp.155-162
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• 2021

With the global COVID-19 pandemic, the tourism sector and all consumption have contracted with the untact era. Wine will also be sold and developed in various ways non-face-to-face in the future. Therefore, it is necessary to develop apps and web servers that focus on health in the era of single-person households and non-face-to-face. This study used facial recognition data based on photos of adult men and women in their 40s and 50s to analyze the Sasang constitution through a mobile app and web server, and suggested wine recommendations suitable for their constitution. First, the user's body information is entered. And through the facial recognition mobile app, recommend the right wine after analyzing the body type. if it's not like the first recommended wine, it is configured to receive another wine recommendation. In the future, the number of single-person households will increase further, and in the age of well-being, wine recommendations that fit my body will be useful. Wine recommendation suitable for Sasang constitution will be a useful mobile application to manage personal healt