- 學位論文
以社會認知理論探討AI焦慮對AI系統使用意願之影響
Using social cognitive theory to explore the impact of anxiety on the willingness to use AI systems
摘要
關於機器人與人工智慧(Artificial Intelligence, AI)的議題，近年來都是備受關注和討論的焦點，這種趨勢也漸漸成為了一種顯學，引起社會廣泛的關注。不論是學校或各企業都以此來探究可能和發展性。世界各地此刻或未來已開始逐漸因人工智慧的影響而改變工作或者需要提高工作技能，這些影響漸漸地加劇了對人工智慧焦慮議題的重視。本研究以社會認知理論的角度來探討醫院人員對於在面對人工智慧系統導入後對於工作的影響和看法，根據過去研究提出研究架構與假說以及進行問卷調查，並透過資料分析來進行驗證。研究結果顯示他人鼓勵使用AI系統對於自我效能感和結果期望有正向的影響； AI自我效能感越高對於使用者的結果期望和態度有積極的影響，會降低AI焦慮但不會增加AI系統的使用意願；而主要研究發現AI焦慮的程度確實會影響AI系統的使用意願。
並列摘要
The topic of robotics and artificial intelligence (AI) has been the focus of much attention and discussion in recent years, and this trend has gradually become a kind of epiphenomenon that has attracted widespread attention in society. Both schools and companies are exploring the possibilities and development of this topic. The impact of AI on jobs or the need to improve job skills around the world, either now or in the future, is increasing the importance of AI anxiety issues. This study uses a social cognitive theory perspective to examine the impact and perceptions of hospital staff on their work in the face of the introduction of AI systems, and proposes a research framework and hypotheses based on past research, conducts a questionnaire survey, and validates them through data analysis. The results of the study showed that the encouragement of others to use AI systems had a positive effect on self-efficacy and outcome expectations; higher AI self-efficacy had a positive effect on users' outcome expectations and attitudes, and reduced AI anxiety but did not increase the willingness to use AI systems; and the main study found that the level of AI anxiety did affect the willingness to use AI systems.