Volume 15, Number 1

Human–AI Interaction in Graduate Academic Work: A Job Demands-resources Conceptualization of Satisfaction and Emotional Exhaustion

  Authors

Joey Oliveira, University of Texas, USA

  Abstract

Artificial Intelligence (AI) technologies are increasingly embedded in graduate academic work, shaping how faculty and students perform cognitive, analytical, and knowledge-based tasks. As AI tools become integrated into writing, research, and instructional activities, human–AI interaction has emerged as a central feature of contemporary academic work environments. However, existing research has largely focused on AI adoption and technological capability, with limited attention given to how ongoing human– AI interaction influences well-being experiences in academic contexts. Drawing on the Jobs DemandsResources (JD-R) framework, this conceptual paper develops a model that links human–AI interaction to student learning satisfaction, faculty job satisfaction, and emotional exhaustion. This paper advances propositions and outlines directions for future empirical research in graduate academic settings.

  Keywords

human–AI interaction, JD-R model, job satisfaction, emotional exhaustion, higher education