人工智慧產出內容 (Artificial Intelligence Generated Content, AIGC) 的快速發展為內容創作與產業應用帶來深遠影響，但同時也引發了對創造力、內容真實性及資訊繭效應等挑戰。本研究基於科技—組織—環境 (Technology-Organization-Environment, TOE) 模型，旨在探討AIGC使用頻率對人機協作程度與創造性成就的影響，並檢視資訊繭效應在此關係中的調節效果。
本研究採問卷調查法。為確保量表品質，研究工具經前導研究 (pilot study) 進行預試與修訂，確認具備良好信效度後，再針對198位具備AIGC使用經驗的用戶進行正式調查。研究變項包含AIGC使用頻率、人機協作程度、創造性成就及資訊繭效應，並採用偏最小平方法結構方程模型 (Partial Least Squares Structural Equation Modeling, PLS-SEM) 進行路徑分析與假設驗證。
實證結果顯示：(1) AIGC使用頻率顯著正向影響人機協作程度與創造性成就；(2) 人機協作程度對創造性成就有顯著正向影響；(3) 資訊繭效應的調節效果未達顯著水準。此外，研究亦發現使用者情境存在差異，上班族傾向將AIGC視為協作夥伴，而研究生則視其為輔助工具。
本研究證實AIGC在提升協作與創造力上的潛力，並為後續研究建構了可靠的測量量表。研究結果建議，未來AIGC的發展應考量使用者情境，提個性化服務，為組織與個人在AIGC時代的發展提供實證參考。

This study examines the impact of Artificial Intelligence Generated Content (AIGC) on human–machine collaboration and creative achievement within the Technology–Organization–Environment (TOE) framework. A survey of 198 AIGC content creators was analyzed using SPSS and PLS-SEM to test the proposed hypotheses. Results indicate that AIGC usage frequency is positively associated with both human–machine collaboration and creative achievement, and that collaboration significantly enhances creative outcomes. However, the information cocoon effect did not significantly moderate the relationship between AIGC usage and creative achievement. These findings highlight AIGC’s potential to foster collaborative dynamics and improve creative performance, while suggesting that user perceptions—such as viewing AIGC as a partner in workplace settings versus a tool in academic contexts—may influence adoption and outcomes. This study contributes empirical evidence on AIGC’s role in creativity and validates related measurement scales, offering a robust basis for future research.

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