近年來，人工智慧代理（Artificial Intelligence Agent, AI Agent）逐漸成為人工智慧應用的重要發展方向，圖書館亦開始關注其於資訊服務、學習支持及讀者互動等面向之應用潛力。隨著智慧圖書館的發展，人工智慧代理館員被視為未來圖書館服務的重要方向。然而，目前國內公共圖書館尚未正式導入人工智慧代理館員，相關研究亦多聚焦於生成式人工智慧工具之使用行為，對於樂齡族在人工智慧代理館員情境中的自我效能、信任形成及採用意圖仍缺乏實證探討。因此，本研究以社會認知理論（Social Cognitive Theory, SCT）為理論基礎，建構樂齡族使用人工智慧代理館員之影響模式，探討各研究構面間之關聯。
本研究採混合研究法，量化研究以臺北市立圖書館樂齡學習中心為研究場域。考量目前圖書館尚未正式提供人工智慧代理館員服務，研究者建構模擬互動情境，引導受試者完成研究者設計之任務後填答問卷，共回收有效問卷181份；質性研究則採半結構式深度訪談，共訪談10位樂齡族，以補充量化分析未能呈現之使用經驗與心理過程。量化資料以結構方程模式進行分析，質性資料則透過主題分析加以歸納與詮釋。
研究結果顯示，觀察學習與結果預期皆能提升樂齡族之自我效能，訪談結果亦發現，樂齡族普遍肯定人工智慧代理館員於日常生活應用上的價值，但仍傾向透過專業人士或其他可信資訊來源進行交叉查證，以確認資訊內容的正確性。研究結果支持社會認知理論應用於人工智慧代理館員情境，並釐清樂齡族自我效能、環境支持、信任傾向及採用意圖之形成過程。研究成果除補充圖書資訊學領域有關人工智慧代理館員服務之實證研究外，亦可作為公共圖書館規劃人工智慧代理館員服務、推動樂齡數位學習及智慧圖書館發展之參考，並提供後續相關研究之理論基礎與實務依據。

Artificial Intelligence (AI) has become an important driver of innovation across various fields, and libraries have begun exploring the potential of Artificial Intelligence Librarians (AI Librarians) to enhance information services, learning support, and user engagement. However, AI Librarian services have not yet been officially implemented in public libraries in Taiwan, and existing studies have primarily focused on the adoption of generative AI tools rather than AI Librarians. Little attention has been given to the self-efficacy, trust formation, and adoption intention of Active Aging Adults in this emerging context. Therefore, this study adopted Social Cognitive Theory (SCT) to examine the relationships among observational learning, outcome expectations, self-efficacy, environmental support, trust propensity, and adoption intention.
A mixed-methods approach was employed. The quantitative study was conducted at the Senior Learning Centers of the Taipei Public Library. Because AI Librarian services are not yet available, a simulated interaction environment was developed in which participants completed five representative tasks before completing the questionnaire. A total of 196 questionnaires were collected, with 181 valid responses retained for analysis. In addition, semi-structured interviews were conducted with ten Active Aging Adults to further explore their user experiences and trust formation. Structural equation modeling (SEM) was applied to analyze the quantitative data, while thematic analysis was used to interpret the qualitative findings.
The results indicate that observational learning and outcome expectations positively influence self-efficacy. Self-efficacy and environmental support significantly enhance trust propensity, which in turn positively affects adoption intention. Interview findings further reveal that Active Aging Adults recognize the value of AI Librarians in information retrieval, learning assistance, and everyday applications. Nevertheless, when seeking information related to health, legal, or financial issues, they tend to verify AI-generated responses through librarians, professionals, or other reliable information sources. Overall, the findings support the applicability of Social Cognitive Theory in explaining the psychological processes underlying the use of AI Librarians by Active Aging Adults. The study contributes to the literature on AI Librarian services and provides practical implications for public libraries in planning AI-enabled services, promoting digital learning for Active Aging Adults, and advancing smart library development.

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