  In the field of software engineering, there has been a shift towards
utilizing various artificial intelligence techniques to address challenges and
create innovative tools. These solutions are aimed at enhancing efficiency,
automating tasks, and providing valuable support to developers. While the
technical aspects are crucial, the well-being and psychology of the individuals
performing these tasks are often overlooked. This paper argues that a holistic
approach is essential, one that considers the technical, psychological, and
social aspects of software engineering tasks. To address this gap, we introduce
SEWELL-CARE, a conceptual framework designed to assess AI-driven software
engineering tasks from multiple perspectives, with the goal of customizing the
tools to improve the efficiency, well-being, and psychological functioning of
developers. By emphasizing both technical and human dimensions, our framework
provides a nuanced evaluation that goes beyond traditional technical metrics.
