影响主题图书馆员使用人工智能产生的内容的因素:定性研究
Xiaowen Yang1, Jingjing Ding2, Haibo Chen1
1Nanjing Medical University Library, Nanjing, 211166, Jiangsu, China.
Heliyon
|April 26, 2024
概括
科目是图书馆员.
科学领域:
- 图书馆和信息科学 图书馆和信息科学
- 人工智能的人工智能
- 技术的接受技术的接受
背景情况:
- 人工智能产生的内容 (AIGC) 为学术图书馆带来了新的机遇和挑战.
- 了解图书馆员的看法对于有效的AIGC整合至关重要.
研究的目的:
- 探索影响主题图书馆员采用AIGC的因素.
- 分析图书馆员对AIGC的看法,包括业绩,风险和收益.
- 应用技术接受模型 (TAM) 来理解图书馆中的AIGC使用.
主要方法:
- 与科目图书馆员进行半结构化采访.
- 解释性现象分析 (IPA) 探索生活经验.
- 技术接受模型 (TAM) 来分析人们感知的易用性和可用性.
主要成果:
- 图书馆员的感知包括业绩 (定制,资源优化,成本效益),风险 (技术,安全,职业),能力提升 (识字,创新,信心) 和情感态度 (兴奋,怀疑).
- 感知到的易用性受到个人识字,创新,信心和态度的影响.
- 感知到的可用性受到服务精度,资源优化,成本效益以及各种风险的影响.
结论:
- 为图书馆员采用AIGC建立了一个理论框架.
- 确定了影响图书馆员看法和AIGC使用的关键因素.
- 为有效实施AIGC,提出了优化图书馆员角色,信息素养和隐私的战略.
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