The Changing Landscape of Occupational Health and Safety in Mining: Challenges Posed by Emerging Technologies
Abstract
The mining industry is experiencing a profound transformation, moving from Automated Mines (Mining 3.0) to Intelligent Mining (Mining 4.0) and the emerging Cyber-Physical-Social Systems of Mining 5.0. While these technologies promise higher productivity, they fundamentally reshape Occupational Health and Safety (OHS) paradigms. This study examines emerging risks, both new hazards and familiar risks appearing in novel contexts, associated with complex human–technology interactions.A dual-phase approach was used. First, a systematic literature review following the PRISMA Statement synthesized 32 high-impact studies from Scopus, IEEEXplore, and PubMed to explore OHS implications and global technological trends, including Internet of Things (IoT), Artificial Intelligence (AI), and autonomous vehicles. Second, an empirical study employed a targeted questionnaire for managers and executives at digitally transforming mining sites, assessing smart technology adoption (e.g., collaborative robotics, big data) and perceived impacts on risk management.Findings reveal that while digital strategies are established, critical gaps remain in addressing “soft” OHS factors such as mental health and organizational risks. Traditional physical hazards are mitigated through teleoperation and Proximity Warning Systems, yet new risks are emerging, including cognitive overload, stress from constant monitoring, and cybersecurity vulnerabilities. These results emphasize the need for human-centered OHS frameworks that address psychosocial and cognitive demands in Mining 4.0 and 5.0. By linking technological trends with practical managerial insights, this study offers guidance for achieving a safer, sustainable digital transformation in the mining sector.
Keywords: Emerging Occupational Health And Safety Risks, Intelligent Mining Systems, Human–Technology Interaction, Smart Mining Risk Management
DOI: 10.54941/ahfe1008133
Cite this paper
More from this volume
- Explainability in Automated Driving: From Spatial Attention to Human-Centred Reasoning
- Design and Evaluation of an AI Academic Advisor: Insights from Student Interactions
- To boldly go where AI must not go alone: Designing for non-delegable human authority in AI-assisted expert work
- Integrating Three Modalities into One Experience: A Case Study of 2024 DigiWave—DdDd
- Improving Usability in a Smart Building Ecosystem through Heuristic Evaluation and Usability Testing
- Anchored in the Learner: A Critical Review of AI Discourse in Design Education
- Narrative as a Cognitive Scaffold for Human-Centered Design Education:A Case Study of Schema Change in Interaction Design Students
- Assessment-Before-Intervention: A WHO iSupport-Grounded Conversational AI System for Dementia Family Caregiver Support
- Analyzing Stress and Perceived Safety in Human-Cobot Collaboration: The Impact of Task Proximity, Interface Cues, and System Errors
- Metascience of content-based cognitive ergonomics
- Developing an Assistive Mobile Application for Elderly Nepali Migrants in the UK
- Integrated Home Service Robots for Ageing in Place: A Multi-Stakeholder Perspective on Acceptance and Care Needs in Taiwan


AHFE Open Access