| 摘要: |
| 目的 旨在探索中国高等教育设计专业学生接受和使用AI绘画工具的意愿。方法 扩展UTAUT模型并结合个体创新性和AI焦虑因素，研究设计专业学生接受AI绘画工具的关键变量。 结果 个体创新性显著正向影响绩效期望，努力期望和行为意图，表明对新技术具有较高开放性的学生更倾向于对AI绘画工具的性能与易用性抱有更高期待。AI焦虑对努力期望和行为意图具有显著负面影响，表明AI焦虑可能会抑制学生采纳这类工具的意愿。绩效期望、努力期望和便利条件对行为意图均有显著正向影响，强调了这些因素在技术接受过程中的关键作用。然而，社会影响对行为意图的影响不显著，表明在AI绘画工具的学习应用场景中，外界社会压力或支持并非决定性因素。此外，方差分析的结果揭示，教育程度较高的个体对采用AI绘画工具持有更积极的看法。结论 研究结果支持了UTAUT模型的有效性并进一步验证了IT中的个体创新性和人工智能焦虑在AI绘画工具接受过程中的重要性，还提供了针对设计教育中AI绘画工具应用的策略建议。 |
| 关键词: AI绘画 生成式人工智能 UTAUT 模型 AI焦虑 个体创新性 |
| DOI：10.19554/j.cnki.1001-3563.2025.08.020 |
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| 基金项目: |
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| Willingness of University Students to Learn AI Painting Tools Based on an Extended UTAUT Model |
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WANG Changsheng
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(Department of Performance, Film, and Animation, Sejong University, Seoul 05006, Republic of Korea)
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| Abstract: |
| The work aims to investigate the acceptance and usage intention of AI painting tools among students in design departments of Chinese higher education. By extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model with the inclusion of individual innovativeness and AI anxiety, key variables influencing students' adoption behavior were researched and identified. The results indicated that individual innovativeness significantly and positively influenced performance expectancy, effort expectancy, and behavioral intention, suggesting that students with higher openness to new technologies were more likely to hold stronger expectations regarding the performance and usability of AI painting tools. In contrast, AI anxiety exerted a significant negative effect on effort expectancy and behavioral intention, implying that heightened anxiety toward AI might inhibit students' willingness to adopt such tools. Furthermore, performance expectancy, effort expectancy, and facilitating conditions were found to positively affect behavioral intention, underscoring their critical roles in the technology acceptance process. However, social influence did not show a significant effect on behavioral intention, suggesting that in the context of AI painting tools, external social pressure or support was not a decisive factor. Additionally, an analysis of variance revealed that students with higher educational levels tended to express more positive attitudes toward the use of AI painting tools. These findings support the validity of the extended UTAUT model and emphasize the significance of individual innovativeness in IT and AI anxiety in influencing students' acceptance of AI technologies, providing practical implications for the integration of AI tools in design education. |
| Key words: AI painting generative artificial intelligence UTAUT model AI anxiety individual innovativeness |
