산업안전 현황 대시보드 디자인 패턴 분석

Background: With the implementation of the Serious Accident Punishment Act and the expansion of ESG management, the importance of industrial safety has increased. Smart safety management systems utilizing IoT, AI, and big data are rapidly deployed; however, dashboard design remains technology-driven, and systematic research on user experience (UX) is limited. Methods: This study analyzed 18 industrial safety dashboards from 10 Korean companies using Bach et al. (2022)’s 41 dashboard design patterns. In depth interviews were conducted with 15 practitioners in diverse roles—executives, safety teams, field managers, and workers—from October 1 to 15, 2025, to capture their information needs and usage experiences. Results: Pattern analysis revealed that while real-time monitoring was largely implemented, deficiencies existed in role based customization (77.8%), contextual information provision (44.4%), alert priority visualization (72.2%), and trend visualization (38.9%). Interviews identified four critical issues: (1) insufficient role specific information reflection, (2) information overload and alert fatigue, (3) limited personalization functionality, and (4) inadequate emergency response guidance and contextual information. Conclusion: This study proposes five implementation strategies—role-based customization, enhanced alert prioritization, enriched contextual data interpretation, improved trend visualization, and generative AI integration—along with role-specific design guidelines. These findings provide concrete UX/UI design directions enabling workers to rapidly recognize critical risks and respond in a timely manner.