Abstract

This study presents the design and development of Labee, a self-inspection laboratory safety application aimed at enhancing researchers’ safety awareness and preventing laboratory accidents. Existing laboratory safety management systems are predominantly administrator-centered, limiting researchers’ active participation in identifying and managing potential risks. To address this limitation, this study proposes a researcher-driven safety management approach that enables voluntary and routine self-inspection. The study followed the ADDI process—Analysis, Design, Development, and Implementation—based on the ADDIE instructional design model. Domestic and international laboratory accident cases and existing safety management applications were analyzed to identify system requirements, after which a user-centered mobile application was designed and implemented. Labee provides checklist-based self-inspection, real-time feedback, result visualization, and personalized safety education, covering general, chemical, biological, mechanical, electrical, and psychophysiological safety factors. The findings suggest that Labee supports proactive accident prevention by encouraging daily safety practices and improving researchers’ engagement in safety management. Furthermore, the system demonstrates potential for expansion into a data-driven and AI-based predictive safety management platform, contributing to the establishment of a sustainable laboratory safety culture.