智能人机交互对员工工作投入的影响机制研究
Research on the Impact Mechanism of Intelligent Human-Computer Interaction on Employee Work Engagement
摘要: 随着AI的发展，智能人机交互(IHCI)在工作场所中日益广泛，但其对员工心理状态和工作态度的影响尚未得到充分研究。本文基于情感事件理论，提出研究假设，构建理论模型。通过问卷调查法收集数据，采用统计分析方法验证研究假设。智能人机交互对员工工作投入具有显著负向影响；工作替代焦虑和学习焦虑在智能人机交互与工作投入之间起中介作用；主动性人格显著调节智能人机交互与两个维度的焦虑的关系，高主动性人格员工的负面情绪反应较弱，低主动性人格员工的焦虑程度更高。
Abstract: With the advancement of AI, Intelligent Human-Computer Interaction (IHCI) is becoming increasingly prevalent in the workplace. However, its impact on employees’ psychological states and work attitudes has not been sufficiently studied. Based on the Affective Events Theory, this paper proposes research hypotheses and constructs a theoretical model. Data were collected through questionnaire surveys, and statistical analysis methods were used to validate the research hypotheses. The findings indicate that IHCI has a significant negative impact on employee work engagement; job replacement anxiety and learning anxiety mediate the relationship between IHCI and work engagement; proactive personality significantly moderates the relationship between IHCI and the two dimensions of anxiety, with employees having a high proactive personality showing weaker negative emotional responses, while those with a low proactive personality exhibit higher levels of anxiety.
文章引用：李开晗. 智能人机交互对员工工作投入的影响机制研究[J]. 服务科学和管理, 2025, 14(3): 320-329. https://doi.org/10.12677/ssem.2025.143041

参考文献

[1] Li, J., Kizilcec, R., Bailenson, J. and Ju, W. (2016) Social Robots and Virtual Agents as Lecturers for Video Instruction. Computers in Human Behavior, 55, 1222-1230. [Google Scholar] [CrossRef] 
[2] Mann, J.A., MacDonald, B.A., Kuo, I.-H., Li, X.Y. and Broadbent, E. (2015) People Respond Better to Robots than Computer Tablets Delivering Healthcare Instructions. Computers in Human Behavior, 43, 112-117. [Google Scholar] [CrossRef] 
[3] Buhalis, D. (2019) Technology in Tourism—From Information Communication Technologies to Etourism and Smart Tourism towards Ambient Intelligence Tourism: A Perspective Article. Tourism Review, 75, 267-272. [Google Scholar] [CrossRef] 
[4] Gonzalez-Jimenez, H. (2018) Taking the Fiction out of Science Fiction: (Self-Aware) Robots and What They Mean for Society, Retailers and Marketers. Futures, 98, 49-56. [Google Scholar] [CrossRef] 
[5] Huang, M. and Rust, R.T. (2018) Artificial Intelligence in Service. Journal of Service Research, 21, 155-172. [Google Scholar] [CrossRef] 
[6] Frey, C.B. and Osborne, M.A. (2017) The Future of Employment: How Sus-ceptible Are Jobs to Computerisation? Technological Forecasting and Social Change, 114, 254-280. [Google Scholar] [CrossRef] 
[7] 王林辉, 胡晟明, 董直庆. 人工智能技术、任务属性与职业可替代风险: 来自微观层面的经验证[J]. 管理世界, 2022, 38(7): 60-78+6.
[8] 许为, 葛列众, 高在峰. 人-AI交互: 实现“以人为中心-AI”理念的跨学科新领域[J]. 智能系统学报, 2021, 16(4): 605-621.
[9] Zhang, R., McNeese, N.J., Freeman, G. and Musick, G. (2021) “An Ideal Human”: Expectations of AI Teammates in Human-AI Teaming. Proceedings of the ACM on Human-Computer Interaction, 4, 1-25. [Google Scholar] [CrossRef] 
[10] 陈文晶, 康彩璐, 杨玥, 等. 人工智能潜在替代风险与员工职业能力发展: 基于员工不安全感视角[J]. 中国人力资源开发, 2022, 39(1): 84-97.
[11] Spielberger, C.D. (1972) Current Trends in Theory and Research on Anxiety. In: Spielberger, C.D., Ed., Anxiety: Current Trends in Theory and Research, Elsevier, 3-19. [Google Scholar] [CrossRef] 
[12] Johnson, D.G. and Verdicchio, M. (2017) AI Anxiety. Journal of the Association for Information Science and Technology, 68, 2267-2270. [Google Scholar] [CrossRef] 
[13] Vinyals, O., Ba-buschkin, I., Czarnecki, W.M., Mathieu, M., Dudzik, A., Chung, J., et al. (2019) Grandmaster Level in Starcraft II Using Multi-Agent Reinforcement Learning. Nature, 575, 350-354. [Google Scholar] [CrossRef] [PubMed]
[14] Li, J. and Huang, J. (2020) Dimensions of Artificial Intelligence Anxiety Based on the Integrated Fear Acquisition Theory. Technology in Society, 63, Article ID: 101410. [Google Scholar] [CrossRef] 
[15] Bateman, T.S. and Crant, J.M. (1993) The Proactive Component of Organiza-tional Behavior: A Measure and Correlates. Journal of Organizational Behavior, 14, 103-118. [Google Scholar] [CrossRef] 
[16] 葛霄, 赵鑫, 陈雄鹰. AI时代下新生代员工心理资本与工作投入的关系[J]. 企业科技与发展, 2021(9): 120-122.
[17] Schaufeli, W.B., Salanova, M., González-Romá, V. and Bakker, A.B. (2002) The Measure-ment of Engagement and Burnout: A Two Sample Confirmatory Factor Analytic Approach. Journal of Happiness Studies, 3, 71-92. [Google Scholar] [CrossRef] 
[18] Weiss, H.M. and Cropanzano, R. (1996) Affective Events Theory. Research in Organizational Behavior, 18, 1-74.
[19] 徐广路, 王皓天. 技术冲击意识对员工变革支持意愿的影响研究: 以人工智能发展为背景[J]. 华东经济管理, 2022, 36(6): 119-128.
[20] Wang, Y. and Wang, Y. (2019) Development and Validation of an Artificial Intelligence Anxiety Scale: An Initial Application in Predicting Motivated Learning Behavior. Interactive Learning Environments, 30, 619-634. [Google Scholar] [CrossRef] 
[21] May, D.R., Gilson, R.L. and Harter, L.M. (2004) The Psychological Con-ditions of Meaningfulness, Safety and Availability and the Engagement of the Human Spirit at Work. Journal of Occupational and Organizational Psychology, 77, 11-37. [Google Scholar] [CrossRef] 
[22] Chi, N.T.K. and Hoang Vu, N. (2022) Investigating the Customer Trust in Artificial Intelligence: The Role of Anthropomorphism, Empathy Response, and Interaction. CAAI Transactions on Intelligence Technology, 8, 260-273. [Google Scholar] [CrossRef] 
[23] Seibert, S.E., Crant, J.M. and Kraimer, M.L. (1999) Proactive Personality and Career Success. Journal of Applied Psychology, 84, 416-427. [Google Scholar] [CrossRef] [PubMed]

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