The Use of Digital AI-based Tools for Prevention of Workload Injuries - An Intervention Study
Work-related injuries, particularly musculoskeletal disorders (MSDs), incur significant costs for companies in terms of sick leave and reduced productivity. Maintaining correct ergonomic posture is crucial to prevent these injuries and mitigate the impact of psychosocial factors. Digital technology plays a vital role in creating efficient and flexible work environments that cater to individual needs. Rather than relying solely on specialists, workers can utilize digital applications to prevent workload and strain injuries. This study investigates the effectiveness of a digital AI-based intervention program aimed at preventing work-related injuries and improving the physical work environment by addressing musculoskeletal disorders caused by incorrect postures. Through interviews with tool users in an industry setting, a web-based prototype application was tested to enhance workplace safety and improve physical health. The application employs digital AI tools to provide real-time feedback to workers. The interviews specifically assess how users evaluate and effectively utilize the tool to enhance working postures and the overall work environment. The study seeks to evaluate the efficacy of the digital AI-based intervention program and gather insights on users’ perceptions and utilization of the application. This research has the potential to contribute to a safer and healthier workplace by harnessing the power of technology. The study seeks to evaluate the efficacy of the digital AI-based intervention program and gather insights on users’ perceptions and utilization of the application.
Authors
- Mohammad Javad Rahimdel (ORCID: https://orcid.org/0000-0002-7980-6212)
- Seyed Hadi Hoseinie (ORCID: https://orcid.org/0000-0002-9767-3644)
- Behzad Ghodrati (ORCID: https://orcid.org/0000-0003-1377-8180)
Institutions
- Isfahan University of Technology (IR)
- Luleå University of Technology (SE)
- University of Birjand (IR)
Publication Details
- Published
- 2024-12-15
- DOI
- https://doi.org/10.1109/ieem62345.2024.10857129
- Primary Topic
- Occupational Health and Safety Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00