AI awareness and the breakdown of daily recovery: A spillover pathway to work-family strain
Document Type
Article
Publication Date
1-13-2026
Abstract
Background: The growing adoption of AI in the workplace has emerged as a distinct occupational stressor, influencing employees' psychological states and extending its effects into their family lives-a dimension rarely addressed by prior research.
Objective and methods: Drawing on data collected from a final valid sample of 119 hotel frontline employees over 10 consecutive workdays via experience sampling (yielding 965 daily observations), this study investigates how AI awareness leads to work-family conflict (WFC). Specifically, we examine the mediating role of psychological detachment and the moderating function of trait resilience.
Results: Our findings demonstrate that AI awareness increases WFC by impairing employees' ability to detach from work. However, high levels of trait resilience reduce this negative pathway, supporting the buffering effect of personal resources.
Conclusion: This study advances the literature on AI awareness by uncovering how it shapes employees' work-family conflict and by positioning psychological detachment as a crucial recovery mechanism in this process.
Keywords
AI awareness, Experienced sampling method, Psychological detachment, Trait resilience, Work-family conflict
Publication Title
Frontiers in Public Health
ISSN
2296-2565
DOI
10.3389/fpubh.2025.1738073
Recommended Citation
Yi, Xiaoyi and Kumar, Sameer, "AI awareness and the breakdown of daily recovery: A spillover pathway to work-family strain" (2026). Research Publications (2026 to 2030). 13.
https://knova.um.edu.my/research_publications_2026_2030/13
Volume
13
First Page
1738073
Publisher
Frontiers Media SA