A Design of Mood-Oriented Diet and Nutrition Mobile Application

碩士 === 國立中興大學 === 資訊管理學系所 === 104 === One of the pleasures in life is eating, and diet is closely related to healthy body. Nowadays, improving body health via diets has already been a common concept. Many researches and reports also showed certain level relationships between diet and mood in recent...

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Bibliographic Details
Main Authors: Chieh-Ming Hsu, 許捷鳴
Other Authors: 陳育毅
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/30674760971693463341
Description
Summary:碩士 === 國立中興大學 === 資訊管理學系所 === 104 === One of the pleasures in life is eating, and diet is closely related to healthy body. Nowadays, improving body health via diets has already been a common concept. Many researches and reports also showed certain level relationships between diet and mood in recent year. For example, minerals in food may influence mood and colors of food may influence the appetites of eaters, and etc. In this study, the related theories about minerals and food colors are the main focus, with characteristics of different constellation and blood types as auxiliary consideration, to provide suggesting lists about foods that may influence moods for users to serve as a food hedonic mobile service. Smartphones have already changed lives of modern people in recent years. Many mobile applications about food also appeared in App Store. This type of mobile application mainly hopes to solve the trouble that users don’t know what to eat. However, to sum up all the current mobile applications about food, there is not any application about food according to factors that may influence moods. Hence, this study researched and developed a set of hedonic food suggestions according to factors that may influence moods in hope of helping users to solve problems described above. Having fun is also one of the functions in this App. This study is based on the technology acceptance model introducing 2 external variables: content and user interface to design the questionnaires and test the performance of system design. Finally, recovered questionnaire results revealed that users felt satisfied for the design performance and were willing to keep using this App.