以巨量資料分析為基礎之行動健康資訊服務系統設計與評估

Design and Evaluation of a Big Data-based mobile health information service

周建羽(CHIEN-YU CHOU)

指導教授 ： 王淑玲

國立臺中科技大學/資訊與流通學院/資訊管理系碩士班/碩士(2019年)

摘要

為了提高城市居民的生活品質，許多城市都積極朝向智能化城市發展，將訊息和通訊技術應用在於城市生活的各個方面，本研究結合政府開放資料庫以及政府感測裝置之API以獲取城市開放數據，進而採用關聯式探勘以及貝氏推理等方法將巨量資料分析與應用建置智能化服務功能，本研究並結合GPS定位、資訊視覺化技術、以及互動多媒體技術等開發此系統。本研究首先運用政府開放平台資料，透過巨量資料分析技術分析環境健康影響因素等指標，進一步建立以巨量資料分析為基礎的個人化的健康資訊服務系統，整體功能包括：(1)即時環境健康指標警示、(2)互動健康防護的衛教服務、(3)健康資訊服務的智能化對談功能、(4)個人健康行為歷程紀錄與分析、(5)多媒體健康衛教等。本系統透過使用者互動式介面以及智能化對談功能，提升使用者的使用體驗，透過本系統所提供的輔助功能幫助使用者達到居家生活環境的自我健康照護效果，然而研究進一步整合健康信念與科技接受度模型提出使用意圖評估模型，探討使用者對行動健康服務系統之使用意圖。
研究結果顯示受試者對於本系統所提供功能可以達到提升生活品質，並且認為本系統可以幫助使用者預防環境危害可能對於健康造成的影響，促進自我健康管理能力。且經由研究模型評估過後，大多數的構面對於提升使用者的使用意圖均有顯著正向影響。透過本研究結果可提高行動健康資訊服務系統功能，以增進智能城市的服務效能。

關鍵字

巨量資料分析 ； 行動健康資訊 ； 智能城市 ； 科技接受度模型 ； 健康信念模型

並列摘要

In order to improve the quality of life of urban residents, many cities develop intelligent urban systems actively, and apply information and communication technologies to improving of urban life improvements. This study combines government open databases and APIs of government sensing devices to obtain urban open data. In addition, this study applies Association rule learning, Bayesian reasoning approach and applies huge amounts of open data to develop intelligent service functions. Especially, this study applies GPS positioning, information visualization technology, interactive multimedia technology, and through the big data analysis approaches, system can provide environmental health metrics, and further establish a personalized health information service system. The system functions including: (1) Immediate environmental health metrics and alerts, (2) Interactive health protection education services,( 3) Intelligent Chatbot function of health information service, (4) Personal health behavior profile record and analysis, (5)Multimedia health education. Through the interactive user interface and intelligent dialogue function, the system enhances the user experience and helps users achieve self-health care in the city living environment, and strengthen users’ preventive healthcare motivation. However, this study further integrates health beliefs and the technology acceptance model to explore the user's intention to use the mobile health information service system.
The results show that most of the subjects think that the system can improve their quality of life, and it can prevent the environmental hazards from system alerts, also can improve self-healthcare ability. The results of the research model show that the system are useful for health promotion. The research results also indicate that most of the variables are significant positive influence the intention to use of the mobile health information service system. Through the results of this study, we hope that the mobile health information service system can improve the quality of city life and improve the efficacy of smart cities in the future.

並列關鍵字

Big Data Analysis ； Mobile health information ； Smart city ； Technology Acceptance Model ； Health Belief Model

參考文獻

英文文獻

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