İNSAN-YAPAY ZEKÂ İŞBİRLİĞİ YORGUNLUĞU: NEDENLERİ, ETKİLERİ VE AZALTMA STRATEJİLERİ

HUMAN-ARTIFICIAL INTELLIGENCE COLLABORATION FATIGUE: CAUSES, CONSEQUENCES, AND MITIGATION STRATEGIES

Abstract

This study aims to examine the multidimensional fatigue experienced by employees in organizational settings as a result of human–artificial intelligence (AI) collaboration. While traditional technostress research focuses primarily on the cognitive or emotional demands created by digital technologies, the integration of AI as an active and autonomous component in decision-making processes introduces new forms of fatigue. This paper provides a comprehensive conceptual framework by synthesizing fragmented approaches in the literature and exploring human–AI collaboration fatigue across physical, cognitive, motivational, and social dimensions. The findings indicate that collaboration with AI increases cognitive load particularly in tasks that require continuous verification and contextual evaluation; diminishes autonomy and heightens perceptions of professional threat, leading to motivational exhaustion; and reduces interpersonal interactions, contributing to workplace loneliness and emotional strain. Additionally, the study highlights the critical role of human-centered AI design, explainability, ergonomic arrangements, and organizational support mechanisms in mitigating such fatigue. By emphasizing the need to evaluate human–AI interactions not only through productivity and performance lenses but also through employee well-being perspectives, this research provides an important contribution to the field. Finally, the study proposes future research directions and strategic guidelines for developing more sustainable and human-aligned AI–collaboration systems.