From Interaction to Involution: Human-AI Interaction and Employee Work Involution

Human–AI interaction (HAI) has become increasingly embedded in contemporary organizations. Drawing on social comparison theory and cognitive appraisal theory of stress, this study examines whether and how HAI intensifies employee work involution. Using three-wave survey data collected from 1,309 employees, we find that HAI significantly increases employee work involution. This effect is stronger for continuous HAI than for intermittent HAI. Mediation analyses show that perceived technological substitution partially mediates this relationship. Moreover, human-AI trust negatively moderates the relationship between HAI and perceived technological substitution, but does not significantly moderate the relationship between perceived technological substitution and work involution. Heterogeneity analyses reveal that the involution effect is more pronounced among employees with positive attitudes toward AI, higher perceptions of AI anthropomorphism, and those working under AI supervisors. This study contributes to the literature on HAI by identifying work involution as a critical form of technological alienation.

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Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2026-06-29
DOI
https://doi.org/10.1080/10447318.2026.2691241
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

From Interaction to Involution: Human-AI Interaction and Employee Work Involution

Qunpeng Fan, Songsong Cheng
International Journal of Human-Computer Interaction
Ethics and Social Impacts of AI
article

From Interaction to Involution: Human-AI Interaction and Employee Work Involution

Qunpeng Fan, Songsong Cheng
article en

Abstract

Human–AI interaction (HAI) has become increasingly embedded in contemporary organizations. Drawing on social comparison theory and cognitive appraisal theory of stress, this study examines whether and how HAI intensifies employee work involution. Using three-wave survey data collected from 1,309 employees, we find that HAI significantly increases employee work involution. This effect is stronger for continuous HAI than for intermittent HAI. Mediation analyses show that perceived technological substitution partially mediates this relationship. Moreover, human-AI trust negatively moderates the relationship between HAI and perceived technological substitution, but does not significantly moderate the relationship between perceived technological substitution and work involution. Heterogeneity analyses reveal that the involution effect is more pronounced among employees with positive attitudes toward AI, higher perceptions of AI anthropomorphism, and those working under AI supervisors. This study contributes to the literature on HAI by identifying work involution as a critical form of technological alienation.

International Journal of Human-Computer Interaction
Jilin Normal University (CN), Jilin Engineering Normal University (CN), Department of Commerce (AU), College of Accounting (SI)
Decent work and economic growth
Openalex Percentile: Top 6%
Ethics and Social Impacts of AI
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