Technostress-Aware Integrated Development Environments (TIDEs): A dataset for exploring technostress during programming

Technostress is the mental strain experienced when digital technologies feel demanding or difficult to manage. Despite growing interest in technostress research, existing datasets provide limited biometric emotional data from code-mediated activities. This article presents TIDE, a novel multimodal biometric dataset designed to support technostress research during IDE-based programming. TIDE captures facial expression-based emotional responses, gaze coordinates, programming phases, participant demographics, and task outcomes across three programming phases and two IDE design cycles involving undergraduate computing students. The article contributes a transparent and replicable methodology for dataset curation and demonstrates its utility through exploratory analyses of emotional patterns, emotion-emotion relationships, phase-specific variation, and software environment differences. The dataset further enables investigation of relationships between emotional states and task-related measures, supporting future evidence-based research into technostress-aware software design and evaluation. Collectively, TIDE provides a reusable resource for Software Engineering and Affective Computing research.