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In the field of software engineering, there has been a shift towardsutilizing various artificial intelligence techniques to address challenges andcreate innovative tools. These solutions are aimed at enhancing efficiency,automating tasks, and providing valuable support to developers. While thetechnical aspects are crucial, the well-being and psychology of the individualsperforming these tasks are often overlooked. This paper argues that a holisticapproach is essential, one that considers the technical, psychological, andsocial aspects of software engineering tasks. To address this gap, we introduceSEWELL-CARE, a conceptual framework designed to assess AI-driven softwareengineering tasks from multiple perspectives, with the goal of customizing thetools to improve the efficiency, well-being, and psychological functioning ofdevelopers. By emphasizing both technical and human dimensions, our frameworkprovides a nuanced evaluation that goes beyond traditional technical metrics.

Toward Optimal Psychological Functioning in AI-driven Software Engineering Tasks: The SEWELL-CARE Assessment Framework