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  • 學位論文

醫療聊天機器人應用之研究

A Study of Medical Chatbot Application

指導教授 : 蕭瑞祥

摘要


科技日新月異,人類的生活樣態有非常大的改變。在醫療這個特殊的領域中,結合了人工智慧(Artificial Intelligence, AI)與大數據(Big Data)之技術,發展出AI醫師。國內醫療機構則整合AI與大數據,發展輔助醫療團隊執行業務之技術平台,如醫療聊天機器人。本研究從民眾觀點,以醫療聊天機器人為例,探討人格特質、信任等因素是否影響醫療聊天機器人之使用意圖。 本研究發現聊天機器人本身的系統特徵、兼容性、生產品質都會影響易用性、有用性與使用意圖,信任更是直接影響著使用意圖。本研究結果呈現醫療聊天機器人在節省時間、更有效率完成目標上有良好的優勢,目前使用中民眾認為使用醫療聊天機器人可提升看診品質之成效是顯著的,其中以非醫療從業人員最為顯著。然本研究樣本中目前使用中人數比率偏低,顯示推廣醫療聊天機器人可運用信任對於使用意圖的直接影響。期望透過本研究結論,能做為未來運用AI醫療提升看診品質與醫病關係參考評估之依據。

並列摘要


The technological innovations have significantly changed our lives. In the special field of medical care, the combination of the artificial intelligence (AI) and the big data application leads to the invention of AI physicians. In terms of our domestic medical institutions, people integrate AI and big data analytics to develop a technology platform, such as medical chatbots, that can support medical professionals in their practices. This research will take the medical chatbot as an example to identify whether personality traits, trust and other factors will influence the use intention of chatbots. This research finds out that the System Characteristics, the Compatibility, and the Output Quality of the chatbots affect the Perceived Ease of Use, the Perceived Usefulness, and the Behavioral Intention of Use. Moreover, the “Trust” itself directly affects the Behavioral Intention to Use. The results of this study indicate that the medical chatbots have the advantages in saving time and achieving goals more efficiently. Currently, people who use the medical chatbots recognize the significant improvement on the medical care quality, especially those non-medical practitioners. Furthermore, the low using rate of chatbots within our research samples reveals the opportunities for chatbots to grow if medical practitioners leverage “Trust” to increase the adoption. The conclusions of this research are expected to be used as an evaluation reference to enhance both the medical care quality and the doctor-patient relationship via AI system in the future.

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