This research aims to understand the impact of IT-based self-monitoring (ITSM) on users’ emotions, specifically in chronic care. The study critiques the current lack of theoretical depth in ITSM research and proposes the use of a dynamic emotion process theory. It uses computational grounded theory and machine learning analysis of hypertension app reviews to extend emotion theory, examining ITSM stimuli and their influence on emotional episodes. The study emphasizes the importance of understanding emotions in ITSM use and its effects, with a focus on the underlying causal mechanisms of ITSM and users’ emotional expressions.
Publication date: 13 Nov 2023
Project Page: Not Specified
Paper: https://arxiv.org/pdf/2311.05449
