Survey of AI-Based Tools for Enhancing Human Factors and Ergonomics in the Workplace

Abstract

The integration of Artificial Intelligence (AI) in human factors and ergonomics (HFE) has introduced transformative tools for enhancing workplace safety, optimizing ergonomic design, and reducing injury risks. This literature review surveys AI-based products currently used in HFE, focusing on their roles in ergonomic risk assessment, real-time monitoring, and early intervention strategies. AI tools leverage machine learning algorithms, computer vision, and data analytics to identify potential ergonomic hazards proactively, enabling targeted interventions before injuries occur. Key applications include using AI-driven image recognition for postural analysis, wearable sensors for continuous monitoring, and predictive analytics for assessing injury risk. These technologies allow for a systems-thinking approach to ergonomics, providing comprehensive insights into worker movements, task demands, and environmental factors. By examining the functionality, efficacy, and accessibility of these AI tools, this review highlights how they contribute to a safer and more productive workplace. Additionally, it identifies emerging trends, challenges, and future directions for AI in HFE, emphasizing the importance of integrating these tools into organizational practices. As AI technology advances, its potential to improve workplace ergonomics and enhance worker well-being continues to grow, paving the way for innovative, data-driven solutions in occupational health.