探索民眾對健康照護應用程式的使用意圖：擴展UTAUT 2模型

Exploring Public Intentions to Use Healthcare Applications by Expanding UTAUT2 Model

健康照護應用程式（APP）是有效管理病患照護的關鍵因素，並具有提高健康照護效率和品質的潛力。然而，影響民眾接受健康照護APP的動機並不清楚。因此，本研究旨在透過擴展延伸整合型科技接受模式（extended Unified Theory of Acceptanceand Use of Technology, UTAUT2），並結合科技樂觀性、科技素養、人工智慧自我效能等變數，開發一個理論模式並進行實證測試，以確定民眾採用健康照護APP意願的決定因素。這項橫斷面研究是在台灣中部地區進行的，並使用偏最小平方法結構方程模式分析411位有效樣本的數據。結果表明，（1）績效期望、社會影響、促進條件與習慣導致使用意圖的形成；（2）科技樂觀性、人工智慧自我效能是績效期望和努力期望的前置因素；（3）科技素養對努力期望產生影響。這項研究結果豐富了現有關於健康照護應用程式使用的理論研究，並指導未來健康照護應用程式融入民眾自我健康照護。

Healthcare applications (apps) are a critical factor in effectively managing patient care and have the potential to enhance healthcare efficiency and quality. However, the factors influencing people’s acceptance of healthcare apps remain unclear. Therefore, this study aimed to develop and empirically test a theoretical model by expanding the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) incorporating variables such as technology optimism, technological literacy, and AI self-efficacy, to identify the determinants of the public willingness to use healthcare apps. The cross-sectional study was conducted in central Taiwan, and data from 411 valid samples were analyzed using partial least squares-structural equation modeling (PLS-SEM). The results showed that (1) performance expectations, social influence, facilitating Conditions, and habit contribute to the formation of usage intention; (2) technology optimism and AI self-efficacy are antecedents of performance expectations and effort expectations, and (3) technological literacy influences effort expectations. The results enrich the existing theoretical research on healthcare app usage and guide on integrating healthcare apps into people’s future selfcare.