人与人工智能协作任务的复杂性如何影响员工的工作参与度? 谦卑的领导和人工智能自我有效性的角色
Bolin Wang1, Simeng Liu1, Chenhao Luo1
1Changsha Normal University, College of Economics and Management, Changsha, China.
Frontiers in psychology
|February 26, 2026
概括
人与人工智能的高协作任务复杂性增加了技术学习的焦虑,减少了工作参与度. 人工智能自我效能和谦卑的领导力可以减轻这些负面影响,改善员工在人工智能集成工作场所的体验.
科学领域:
- 组织心理学 组织心理学
- 人与计算机的交互
- 人工智能伦理学 人工智能伦理学
背景情况:
- 人工智能 (AI) 在工作场所的整合正在改变员工的心理和行为.
- 了解人类-人工智能协作的动态对于管理其对员工的影响至关重要.
- 工作需求-资源 (JD-R) 理论为分析工作场所压力因素和资源提供了一个框架.
研究的目的:
- 研究人类-人工智能协作任务复杂度 (HAI-C任务复杂度) 对员工工作参与度的影响.
- 检查人类-AI协作技术学习焦虑 (HAI-C技术学习焦虑) 的调解作用.
- 探索谦卑的领导力和人工智能自我效能的温和效应.
主要方法:
- 使用了三波纵向调查设计.
- 从497名员工那里收集了数据.
- 层次回归分析和引导方法用于数据分析.
主要成果:
- HAI-C任务复杂性通过增加HAI-C技术学习焦虑,对工作参与度产生负面影响.
- 人工智能自我效能减轻了HAI-C任务复杂性对工作参与度的负面间接影响.
- 谦卑的领导力通过提高AI的自我效能来间接地减轻这种负面影响.
结论:
- HAI-C任务的复杂性可以抑制员工的工作参与度.
- 工作和个人资源,如AI自我效能和谦卑的领导力,在减轻负面影响方面发挥着关键作用.
- 该研究提供了理论见解和实践策略,以加强在人类-AI协作环境中的工作参与.
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